nature.com

Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances

AbstractIn the context of global ageing, the prevalence of neurodegenerative diseases and dementia, such as Alzheimer’s disease (AD), is increasing. However, the current symptomatic and disease-modifying therapies have achieved limited benefits for neurodegenerative diseases in clinical settings. Halting the progress of neurodegeneration and cognitive decline or even improving impaired cognition and function are the clinically meaningful goals of treatments for neurodegenerative diseases. Ageing is the primary risk factor for neurodegenerative diseases and their associated comorbidities, such as vascular pathologies, in elderly individuals. Thus, we aim to elucidate the role of ageing in neurodegenerative diseases from the perspective of a complex system, in which the brain is the core and peripheral organs and tissues form a holistic network to support brain functions. During ageing, the progressive deterioration of the structure and function of the entire body hampers its active and adaptive responses to various stimuli, thereby rendering individuals more vulnerable to neurodegenerative diseases. Consequently, we propose that the prevention and treatment of neurodegenerative diseases should be grounded in holistic antiageing and rejuvenation means complemented by interventions targeting disease-specific pathogenic events. This integrated approach is a promising strategy to effectively prevent, pause or slow down the progression of neurodegenerative diseases.

IntroductionAccording to the 2022 World Health Organization (WHO) report, the speed of population ageing in countries around the world is far faster than that in the past, and the number and proportion of elderly individuals are on the rise. From 2020 to 2050, the global population aged 60 years and over is projected to increase from 1 billion to 2.1 billion, while the number of people aged 80 and over is expected to triple to 426 million. Due to the prosperous development of biomedicine, human life and life expectancy continue to rise worldwide, which is not consistent with the healthspan.1 The gap in lifespan and healthspan means that large numbers of older people are living with age-related diseases for long periods, imposing a substantial economic and caregiving burden on families and society. Disability-adjusted life years (DALYs) are proposed, including years lived with disability (YLDs) and years of life lost (YLLs), to quantify the burden caused by diseases. In 2021, for individuals aged 60–79 years, Alzheimer’s disease (AD) and other forms of dementia ranked second among the top three leading causes of DALYs, whereas Parkinson’s disease (PD) ranked third for those aged 80 years and older.2 Neurodegenerative diseases, including AD, PD, amyotrophic lateral sclerosis (ALS), frontotemporal lobar degeneration (FTLD), Huntington’s disease (HD) and others, are major diseases that cause dementia, disability, loss of independence and even death in elderly individuals. The incidence of neurodegenerative diseases is substantially increasing in the elderly population; dementia currently affects more than 55.2 million individuals worldwide, and this number is projected to reach 78 million by 2030 from the World Alzheimer Report 2021.3 AD is the most prevalent type of dementia, accounting for 60–80% of cases.4 PD is the second most common neurodegenerative disease, with a rapid increase in incidence after the age of 50 years. According to the 2019 WHO estimates, 850,000 people suffer from PD worldwide. In general, in the context of accelerated global ageing, the global burden of other neurodegenerative diseases, such as ALS, HD and FTLD, is increasing. Society bears a heavy burden of increasing neurodegenerative disease costs.5 For example, the global costs of dementia are expected to increase nearly tenfold to $9.12 trillion from 2015 to 2050,6 and a similar situation is predicted for other neurodegenerative diseases.7,8The ageing process is accompanied by the accumulation of genetic mutations and epigenetic changes, which gradually disrupt functional homoeostasis at the molecular and cellular levels, leading to loss of proteostasis and abnormal mitochondrial function. In the context of neurodegenerative diseases, proteostasis loss substentially contributes to the abnormal accumulation of various pathological proteins, including amyloid-beta (Aβ), hyperphosphorylated tau, α-synuclein (α-syn), TAR DNA binding protein-43 (TDP-43), huntingtin (HTT). These aberrant proteins act as activators for glial cells, triggering neuroinflammation and other pathological events. Subsequent inflammation exerts detrimental effects on neurons, resulting in neuronal injury, disruption of neural circuitry, and eventual manifestation of diverse neurodegenerative disorders.Regrettably, current therapeutics are severely limited, and no interventions are available to stop or even reverse the course of these diseases. The clinical interventions for PD, FTLD and HD have concentrated on symptomatic treatment and nonpharmacological approaches (e.g., lifestyle modifications, peer and caregiver support), and no efficacious drug has been demonstrated to have disease-modifying effects on patients.9,10,11 Although electroencephalogram-based brain‒computer interface (BCI) technology can help ALS patients communicate with the outside world via real-time speech synthesis and robotic arms,12,13 disease progression cannot be affected. For HD, clinical trials of drugs targeting proximal molecules, namely, HTT DNA, RNA and protein, are underway and may be available to modify the disease course in the future.14 Surprisingly, recent clinical trials of Aβ-targeted immunotherapies have shown their efficacy in slowing cognitive decline.15 Nevertheless, the overall cognitive benefits of these treatments are limited once the dementia stage has taken hold.16,17,18 These realities highlight the urgent need to explore more effective therapeutic strategies for ageing-related neurodegenerative diseases.Impact of ageing on neurodegenerative diseasesAgeing encompasses suborganismal biological processes leading to declines in organismal survival and function over time,19 which is the basis of many chronic diseases. The incidence of AD increases exponentially after the age of 65.4 Epidemiological studies have documented a significant increase in the percentage of individuals with AD with age, especially women, which were reported as early as 2000.20 In 2022 in the United States, the percentage of individuals with AD ranged from 5% among individuals aged 65–74 years, 13.1% among individuals aged 75–84 years, and 33.2% among individuals aged 85 years and above.21 The incidence of PD also increases with increasing age, and whether this association is linear or exponential is unclear.22 Based on the MEDLINE and EMBASE databases, an analysis was conducted to determine the global prevalence of PD between 1985 and 2010 across different age groups. Comparing the prevalence rate of PD at 41 per 100,000 among individuals aged 40–49 years, it was found that those aged 80 years and older exhibited a significantly higher prevalence rate of PD at 1903 per 100,000.23 As the resource from the Centers for Disease Control and Prevention (CDC) in the United States, the ALS prevalence rate was the lowest among individuals aged 18–39, with only 0.2 cases per 100,000 people. In contrast, the prevalence rate was highest in the 70–79 year age group, reaching 17.2 cases per 100,000 people.24 Multiple system atrophy (MSA) is a progressive neurodegenerative disorder that usually begins in the late 50 years to early 60 years. The prevalence of MSA increases with age, with a peak occurrence in individuals aged 50–70 years. Recent statistics indicate that MSA affects approximately 4.6 per 100,000 people aged 50–59 years, increasing to 7.8 per 100,000 in those aged 70–79 years.25 Corticobasal degeneration (CBD) typically manifests between the ages of 50 and 70 years. Its prevalence increases with age, with the most common onset occurring in the middle 60 years. Progressive supranuclear palsy (PSP) is another form of tauopathy commonly observed in individuals around their mid-60 years. Its prevalence notably increases with advancing age, often manifesting more prominently in those aged 70 years and older. This condition is characterized by the progressive accumulation of the tau protein in the brain, which becomes more prevalent with advancing age.26 FTLD is commonly identified in individuals between 45 and 65 years of age, yet its risk and occurrence increase with ageing. Research indicates an increased occurrence among older individuals, notably individuals aged 60 years and older.27 A retrospective analysis across Europe revealed that the average incidence of FTLD peaks at the age of 65–74 years, with 9.06 cases per 100000 person-years.28 Furthermore, according to an Italian epidemiological report, the prevalence rate of HD ranges from 4.35 per 100,000 individuals aged 40–44 years to 49.67 per 100,000 individuals aged 65–69 years.29Given that ageing is a common risk factor for neurodegenerative diseases, a pivotal question arises regarding the mechanisms through which specific neurodegenerative diseases manifest in individuals as they age. Taking AD as an illustrative example, its onset during the ageing process is influenced by multiple factors. According to the widely accepted Aβ cascade hypothesis,30 neuronal Aβ is physiologically produced. However, an imbalance between Aβ production and clearance throughout the ageing process results in cerebral accumulation of Aβ, thereby facilitating the onset of AD. Furthermore, a confluence of genetic predispositions and environmental influences collectively shapes an individual’s unique trajectory towards AD progression, with ageing serving as a catalyst in this complex interplay. Alternative hypotheses for AD have also been proposed, including but not limited to the tau protein hypothesis,31 abnormal lipid32 and glucose metabolism hypothesis,33 inflammation hypothesis,34 oxidative stress hypothesis (mitochondrial dysfunction),35 and the cholinergic hypothesis.36 These frameworks suggest that the pathophysiology of AD is characterized by phosphorylated tau accumulation and propagation,31 heightened inflammatory responses, dysregulation of oxidative stress (related to mitochondrial dysfunction),37 alongside a gradual decline in cholinergic function.38 Notably, these events are intricately linked to the ageing process and synergistically contribute to the pathogenesis of AD.Therefore, it can be inferred from the above epidemiological evidence that ageing is an accelerator of neurodegenerative diseases (Fig. 1). If we envision ageing as a flowing river, neurodegenerative disease is a boat navigating its waters. The flowing river increases the speed of the sailing boat. Comorbidities such as vascular diseases collide. Even if the oars stop moving, the boat continues to drift downstream as long as the river continues to flow. The analogy holds for the treatment of neurodegenerative diseases. Even if pathological proteins such as Aβ, hyperphosphorylated tau, α-syn and TDP-43 accumulation in the brain are effectively cleared, cognitive decline persists as the brain ages and comorbidities continue to interact. Consequently, solely targeting neurodegenerative disease-specific pathologic changes may not be sufficient to achieve the desired outcomes. Halting or reversing the flow of a river would be an effective approach to prevent the boat from moving forwards or even to facilitate it to move backwards. Similarly, a comprehensive approach that prioritizes systemic rejuvenation, alongside interventions targeting disease-specific pathogenic events, constitutes a promising disease-modifying strategy to “press the pause button” on dementia progression.Fig. 1Prevalence or incidence of neurodegenerative diseases by age. Epidemiological evidence indicates that ageing is an accelerator of neurodegenerative diseases. The prevalence of AD was based on the data of 2000 in the United States and Europe. The global prevalence of PD was based on the data from 1985 to 2010. The prevalence of ALS was based on the data of 2016 in the United States. The incidence of FTLD was based on the data of 2021 in Europe. AD Alzheimer’s disease, PD Parkinson’s disease, ALS Amyotrophic lateral sclerosis, FTLD Frontotemporal lobar degenerationFull size imageMilestone events of studies on antiageing strategiesSignificant breakthroughs have been made in the ageing and antiageing research fields; here, we review the research history and milestone events. As early as the 1930s, caloric restriction (CR) extended the lifespan of both mice and rats.39 Correspondingly, CR was found to prolong the healthy lifespan of rhesus monkeys in 2009.40 Since the mid-20th century, numerous ageing-related hypotheses and concepts have been proposed. In 1952, Peter Medawar et al. proposed the theory of ageing mutation accumulation, namely, that harmful mutations may continuously accumulate in an organism, eventually leading to ageing.41 In 1954, Denham Harman et al. proposed the free radical theory. In addition, he argued that reducing the production of free radicals could prolong the lifespan of mice by 20%.42,43 Then, George C. William et al. suggested the antagonistic pleiotropy theory that genes are favoured by natural selection if these genes exert beneficial effects on early fitness components as well as pleiotropic deleterious effects on late fitness components throughout life.44 Leonard Hayflick et al. discovered that the number of times a human cell can divide is limited, known as the “Hayflick limit” in 1961.45 Moreover, cellular senescence is defined as permanent growth arrest caused by endogenous and exogenous stress.45 Immunosenescence, a concept developed by Roy L. Walford et al. in 1969, is characterized by a decline in the body’s immune response to internal and external antigens.46 Later, in 1971, Alexey Olovnikov et al. pioneered the end-replication problem, which involves the loss of chromosome end fragments with each cell division, gradually shortening chromosomes.47 At the beginning of the 21st century, Claudio Franceschi et al. proposed the inflammageing theory.48 Moreover, the National Institute on Ageing (NIA) sponsored an intervention testing programme (ITP) to identify compounds that extend the lifespan of mice.49 A novel finding is emerging in this field: the awakening of endogenous retroviruses (ERVs) is a biomarker and powerful driver of cellular senescence and tissue ageing. In addition, targeting ERVs is a promising approach to alleviate ageing.50In addition, many ageing-related genes and pathways have been identified. In 1988, AGE-1 mutation increased the lifespan of Caenorhabditis elegans by 40–60%.51 Similarly, the Daf-2 mutation doubled the lifespan of this species in 1993.52 Daf-2 inhibits insulin-like growth factor (IGF) intracellular signalling, which is involved in the regulation of blood glucose levels, suggesting that antiglucose drugs may interfere with ageing. In 2013, metformin prolonged the healthy lifespan of mice.53 The Food and Drug Administration (FDA) subsequently approved the clinical trial Targeting Ageing with Metformin (TAME). Moreover, in 1995, a sirtuin 4 (SIR4) mutation in yeast extended the lifespan by more than 30%,54 after which SIRT1 was verified in mammals.55 In 2003, small-molecule activators of sirtuins (SIRTs) extended the lifespan of yeast by 70%.56 Additionally, inhibition of the target of rapamycin (TOR) pathway prolonged the lifespan in a 2004 study.57 In 2009, rapamycin, an inhibitor of the mammalian target of rapamycin (mTOR) pathway, was shown to significantly extend the lifespan of mammals.58 In 2004, nicotinamide adenine dinucleotide (NAD+)-dependent sir2 was confirmed to extend the lifespan of Drosophila by 10–20%.59 Similarly, nicotinamide mononucleotide (NMN) is a direct precursor of NAD+, and the first clinical trial of NMN was conducted in 2021.60 A recent study demonstrated that metformin was capable of decelerating the ageing process of multiple organs in primates.61 In addition to these pathways, many transformations occur at the cellular level. In 1995, senescent cells were confirmed to exist and accumulate in human tissues with ageing, accompanied by senescence-associated secretory phenotypes (SASPs), which were proposed in 2008.62 In 2016, the elimination of senescent cells by senolytics in mice extended the healthy lifespan,63 and the first clinical trial was conducted in 2018.64 At the systemic level, the use of the young plasma to fight ageing was proposed early.65 In 2005, muscle regeneration and muscle stem cell viability in aged mice were restored by exposure to a young systemic environment.66The concept of biological age emerged in the middle of the 20th century, specifically reflecting the degree of ageing of the structure and function of tissues/organs, and then, it was widely applied in the ageing research field.67 Supported by recent advances in high-throughput omics technologies, the first DNA methylation ageing clock was established in 2011 to assess biological age comprehensively and accurately.68 Later, the metabolomic ageing clock and transcriptomic ageing clock were published to explain ageing-related clinical traits.69,70 Steve Horvath et al. formally proposed the epigenetic clock in 2018. Genomic DNA methylation can be used to evaluate the methylation of a series of genetic loci and estimate the biological age.71Antiageing strategies are increasingly being implemented in the context of AD and other neurodegenerative disorders. Preclinical studies have demonstrated that growth differentiation factor-11 (GDF11) in young plasma exerts neuroprotective effects by promoting neurogenesis within the hippocampus and enhancing learning and memory in aged mice.72 Two recent clinical trials involving young plasma infusion in patients with AD and PD, respectively, have further validated this intervention strategy for neurodegenerative diseases.73,74 Additionally, transplantation of young fecal microbiota has been shown to reverse age-related alterations in microglial activation while rejuvenating the metabolic profile of the hippocampus, primarily influencing amino acid metabolism. Furthermore, behavioural deficits were alleviated in older mice.75 Subsequent clinical trials have indicated that cognitive and behavioural improvements could be achieved through fecal microbiota transplantation (FMT) in patients with mild cognitive impairment as well as those suffering from PD.76,77 Moreover, clearance of senescent cells throughout the bodies of older mice led to a reduction in markers associated with neuronal senescence (such as LaminB1, P21, and High Mobility Group Box 1), reversal of age-related microglial activation and inflammation, enhancement of cognitive functions (including spontaneous activity and exploratory abilities), along with an extension of healthy lifespan among these older mice.63,78 The application of senolytics for patients diagnosed with early-stage AD has recently been investigated, yielding preliminary findings that suggest a potential role for these agents in managing neurodegenerative diseases.79,80Physiological ageing and neurodegenerative diseases is inevitable and will continue to drive persistent research. In recent years, due to advances in high-throughput single-cell omics technologies and large-scale profiling,81 the research paradigm has shifted. The molecular features and mechanisms of ageing and neurodegenerative diseases have been analysed in unprecedented depth and comprehensiveness. These findings lay the foundation for subsequent studies on precise humoral markers of ageing and neurodegenerative diseases and effective targets for prevention and treatment (Fig. 2).Fig. 2Milestone events in the history of antiageing research. This figure enumerates key events in the field of antiageing research and pivotal advancements in unitizing antiageing strategies to intervene neurodegenerative diseases from the 1930s onwards. NIA National Institute on Aging, ITP Intervention Testing Program, SIR4 sirtuin 4, NAD+ nicotinamide adenine dinucleotide, TOR target of rapamycin, C. elegans Caenorhabditis elegans, AD Alzheimer’s disease, PD Parkinson’s diseaseFull size imageComplex systems view of ageing and neurodegenerative diseasesAgeing, neurodegenerative diseases and their comorbidities are characterized by a multifactorial and complex nature. According to the concepts of complex systems science, the human body is a self-organizing complex adaptive system (CAS), namely, a “network of networks”.82 These networks include horizontal connections among molecules, cells, organs, systems, and individuals, as well as vertical connections within each layer. Through the dynamic regulation of this high-dimensional and multiscale network, the human body actively and adaptively responds to internal or external stimuli to maintain homoeostasis, function and health.83,84 During ageing, adaptive responses are weakened due to deficits in the CAS network.83 When a stimulus is too intense and exceeds the regulatory capacity of the adaptive response or when the compromised adaptive response is insufficient to recover from stimulus-induced perturbations, homoeostasis is disrupted, leading to the onset of disease.83,84,85 The intricate nature of ageing substantiates that ageing constitutes a nonlinear dynamic process characterized by variability across different organs and systems.86The concept of complex systems science is not foreign to neurodegenerative diseases. Take AD as an example (Fig. 3). The prevailing Aβ cascade hypothesis for AD suggests that an imbalance in the production and clearance of Aβ leads to its deposition. Aβ deposition initiates a series of downstream pathological events, such as tau pathology, oxidative stress, and energy metabolism disorders, ultimately resulting in synaptic or neuronal degeneration and eventually dementia.30,87 This linear hypothesis elucidates the major pathologic outcomes that arise from imbalances in homoeostasis at various scales, from the molecular to the cellular and ultimately to the organ layers, as well as the interconnections among them. In fact, the homoeostatic imbalances at each scale are a result of the dysregulated CAS. For example, Aβ deposition is the result of a homoeostatic imbalance between a continuous and intense stimulus (stressors leading to the overproduction or impaired clearance of Aβ) and an inadequate adaptive response (suppression of responses to inhibit the production or enhance the clearance of Aβ), as discussed below. Tau pathology is the result of an imbalance between tau phosphorylation and dephosphorylation induced by various triggers,88 principally Aβ. Neuronal degeneration involves increased amounts of neurotoxic molecules (e.g., Aβ, hyperphosphorylated tau, and inflammatory factors) and an insufficient supply of energy and neurotrophic factors,89,90 which are derived from various neural cells and tissues or organs other than the brain, as well as defective resistance or resilience of neurons to stressors.91Fig. 3Overview of integrated systems involved in AD pathogenesis. AD was initially proposed to obey the Aβ cascade hypothesis, with Aβ as its core. Dysregulation of Aβ production and clearance leads to its accumulation, which further induces downstream oxidative stress, NFT formation, neuronal and synaptic degeneration, and ultimately dementia. Here, we propose viewing AD from the perspective of integrated systems. When intense stimulation exceeds the body’s resistance or when the resilience is insufficient to recover from the stimulus-induced disruption, homoeostatic imbalances result, as evidenced by Aβ and tau accumulation, synaptic/neuronal degeneration, and dementia. Genes, the environment and lifestyle are involved at every level. AD Alzheimer’s disease, APP amyloid precursor protein, Aβ amyloid-β, PS presenilin, NFTs neurofibrillary tangles. The figure was produced utilizing the applications Easy PaintTool SAI and Adobe IllustratorFull size imageSimilarly, deficits in the CAS network also contribute to PD. PD is pathologically marked by intracellular aggregates of α-syn, known as Lewy bodies, and is characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta. Like Aβ deposition in AD, the abnormal aggregation of α-syn results from its overproduction (due to gene mutations, abnormal posttranslational modifications, and elevated oxidative stress) and the failure of α-syn clearance (due to proteasome and autophagy dysfunction). The degeneration of dopaminergic neurons is caused primarily by a combination of impaired proteostasis and mitochondrial dysfunction.92 These molecular and cellular stresses converge to trigger apoptotic and other cell death pathways, ultimately resulting in the progressive loss of dopaminergic neurons and the manifestation of PD.In addition, a defective CAS network is common in other neurodegenerative diseases. ALS, known as idiopathic fatal motor neuron disease, is characterized by the degeneration of both upper and lower motor neurons, leading to progressive muscle weakness, atrophy and eventual paralysis.93 FTLD, one of the most common types of dementia, is characterized by the degeneration and atrophy of the frontal and temporal lobes of the brain and presents with early social–emotional–behavioural and/or language changes, accompanied by pyramidal or extrapyramidal motor neuron dysfunction.94 Although ALS and FTLD have different disease manifestations, many genetic and pathological mechanisms overlap. One specific pathology is the accumulation of TDP-43 within affected neurons. The aggregation of TDP-43 is due to its overproduction (due to SOD1, TDP-43 and FUS mutations) and the impaired cellular homoeostasis of motor neurons (e.g., mitochondrial function, axonal transport and RNA metabolism). Moreover, glial cells are actively involved in ALS/FTLD pathology in a noncell autonomous manner, affecting TDP-43 accumulation and subsequent neurodegeneration. For example, low levels of phagocytosis and autophagy, as well as the secretion of inflammatory factors by microglia, are associated with the noncell-autonomous toxicity of astrocytes.95 Furthermore, HD is a progressive neurodegenerative disorder with a distinct phenotype, including chorea and dystonia, incoordination, cognitive decline, and behavioural difficulties.96 The pathogenesis of HD primarily stems from an abnormally expanded CAG repeat near the N-terminus of the Huntingtin gene, resulting in the production of mutant HTT (mHTT) protein. This aberrant protein forms toxic aggregates, which further disrupts the protein degradation system, axonal transport, and mitochondrial function. Additionally, glial cell activation synergistically contributes to neurodegeneration.97,98Overall, the development of neurodegenerative disorders does not result from a single molecule or cell but rather from an emergent homoeostatic imbalance within CAS. The integrated systems perspective provides a comprehensive approach to understanding the pathogenesis of neurodegenerative disorders. Understanding these interconnected processes is essential for developing effective strategies to prevent and treat age-related neurodegenerative diseases.Systemic regulatory mechanisms of ageing in neurodegenerative diseasesIn this section, we discuss the impacts of ageing on neurodegenerative diseases from the perspective of complex systems.Molecular and cellular networks of ageing in neurodegenerative diseasesChanges in the ageing brainBrain ageing involves multidimensional and multilevel changes in molecules, cells, neural circuits, tissues, and brain functions. The hallmarks of ageing have been newly refined and include genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, disabled macroautophagy, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, altered intercellular communication, chronic inflammation and dysbiosis.85 The hallmarks of brain ageing are broadly consistent with these hallmarks, but specific characteristics have been identified, such as aberrant neural network activity and glial cell activation.99 This section summarizes the hallmarks of brain ageing based on these aspects.

Molecular level

Brain ageing involves several critical molecular changes that collectively contribute to cognitive decline and increased susceptibility to neurodegenerative diseases. One of the hallmarks of brain ageing is the elevated levels of oxidative stress.100,101 The production of reactive oxygen species (ROS) increases, leading to oxidative damage to cellular components such as DNA, proteins, and lipids. The efficiency of DNA repair mechanisms decreases with age, leading to the persistence of DNA lesions.102 These impairments can disrupt gene expression and cellular function. Changes in DNA methylation, histone modification, and noncoding RNA expression have also been observed and affect gene expression profiles in ageing neurons.103,104 Chronic sterile low-grade inflammation, often referred to as “inflammageing” is another significant molecular feature. Glial cells in the brain, such as microglia and astrocytes, become chronically activated and release proinflammatory cytokines.105 Mitochondrial function deteriorates with age, resulting in decreased ATP production and increased ROS generation.106 Mitochondrial DNA mutations accumulate, further impairing cellular energy metabolism and promoting apoptotic pathways.107 Additionally, the process of brain ageing is accompanied by the accumulation of misfolded proteins associated with neurodegenerative diseases, such as deposition of Aβ and α-syn, accumulation of hyperphosphorylation of tau (i.e. primarily ageing-related tauopathy, PART),108 and pathology of TDP-43 (i.e. limbic predominant age-related TDP-43 encephalopathy, LATE).109

The nutrient-sensing network is highly conserved throughout evolution and is deregulated during ageing. The insulin/insulin-like growth factor 1 (IGF-1) signalling (IIS) pathway is the first identified and extensively validated age-regulating pathway.110 IGF-1 is expressed in neurons and glial cells in a brain region-specific manner and has a neuroprotective effect by promoting synaptogenesis and neurotrophin signalling,111 counteracting oxidative stress and inflammation, and modulating neuronal excitability.112 However, during ageing, a decrease in the activity of IGF-1 occurs, which manifests as deficiency and resistance, and exacerbates age-related changes in the brain.113,114,115 In addition, mTOR, known as a modulator of key cellular processes, participates in the activation of protein synthesis, biomass accumulation and the repression of autophagy.116 The activity of mTOR in the brain increases with age,117 substantially inhibiting autophagy, which could explain why pathological proteins are prone to accumulation.118 Furthermore, seven mammalian SIRTs, namely, sirtuin1 to sirtuin7, have been identified. SIRTs are involved in various biological processes, including inflammation, glucose and lipid metabolism, oxidative stress, cell apoptosis, and autophagy.119 SIRT1, one of the most valuable targets, deacetylates protein substrates to exert neuroprotective effects, maintaining neural integrity.120 SIRT1 transcription decreases in the aged brain,121 worsening pathological protein aggregation and neuron loss and sharply increasing the risk of neurodegenerative diseases.122,123 Similarly, alterations in other ageing-related pathways, such as adenosine 5’-monophosphate-activated protein kinase (AMPK) and NAD+, with ageing also contribute to neurodegeneration.124,125 Notably, these pathways do not act singly but rather interact with each other to regulate ageing and ageing-related diseases. For example, SIRT1 downregulates the mTOR pathway and upregulates the AMPK pathway, synergistically enhancing autophagy.126

Cellular level

The accumulation of molecular changes leads to structural and functional alterations in various brain cells. Neuronal dendrites, which receive synaptic inputs, can retract and lose their complexity, reducing the number of synaptic connections.127 A reduction in synaptic density has been observed, which impacts neural communication. Ageing-related pigments, such as lipofuscin, accumulate within neurons. Functionally, the synthesis and release of neurotransmitters (e.g., acetylcholine, dopamine, and glutamate) and neurotrophic factors (e.g., NGF and BDNF) decrease.128 Neuronal excitability and plasticity decline, and metabolic activity, such as ATP production, is reduced.129 Additionally, senescent cells and SASPs accumulate in the ageing brain to drive neurodegeneration.130

Brain ageing also involves functional and structural changes in various glial cells. The process of brain ageing is characterized by inflammation, with microglia serving as crucial immune regulatory cells in the brain, indicating their significant role in this process. The states of microglia, such as telomerase activity,131 morphology and distribution pattern,132 degree of activation,133 cell migration and the speed of the response to inflammation,134 significantly change with ageing. During the ageing process, there is a significant increase in neurotoxic M1 microglia, accompanied by a concomitant decrease in neuroprotective M2 microglia. This imbalance leads to the production of substantial quantities of pro-inflammatory factors, chemokines, and reactive substances, collectively exacerbating neuroinflammation.135 The initial identification of disease-associated microglia (DAM) occurred in the brain tissue of AD transgenic mice,136 with subsequent research indicating that the prevalence of DAM cells increases with age. High-dimensional cytometry revealed that approximately 11.9% of microglia in aged mice were classified as DAM, while no DAM cells were detected in young mice.137 High-throughput sequencing revealed that the expression of genes related to cell migration and cytoskeletal protein homoeostasis in aged microglia changed significantly,138 explaining the decrease in microglial migration caused by ageing. Moreover, microglia are the main cells responsible for the clearance of pathological substances and cell debris in the brain, but this clearance capacity decreases significantly with ageing.139

Astrocytes play an indispensable role in maintaining the homoeostasis of the nervous system. Changes in the gene expression and structure of astrocytes are early events in brain ageing.140,141 During the ageing process, astrocytes exhibit ageing-related phenotypes, such as an increased stress response, reduced telomere length and mitochondrial activity,142 and their ability to maintain neuronal activity and promote the proliferation of neural precursor cells is also significantly reduced.143,144 Under inflammatory conditions, astrocytes may be transformed into the neurotoxic A1 state or the neuroprotective A2 state.145 During ageing, astrocytes spontaneously transform into a neurotoxic A1 state,146 which in turn causes neuronal dysfunction. The regulatory mechanism underlying this transformation needs to be further explored. As astrocytes regulate homoeostasis in the central nervous system (CNS), changes in the astrocyte states may directly impair neuronal function and ultimately lead to the occurrence of various neurodegenerative diseases.

Oligodendrocytes are located in the white matter of the brain and protect the integrity of axons by forming myelin structures on the surface of neuronal axons. Consistent with astrocytes, as the brain ages, changes in gene expression in oligodendrocytes precede those in neurons and microglia,140 and their dysfunction may increase the vulnerability of neurons to ageing-related pathogenic risk factors. Ageing is often accompanied by a demyelination process, which is associated with increased levels of DNA oxidative damage in aged oligodendrocytes.147 The myelinogenesis and remyelination capacities of oligodendrocyte precursor cells (OPCs) also decrease.148

The blood‒brain barrier (BBB) is a critical structure that protects the brain by regulating the entry of substances from the bloodstream into neural tissue. The BBB also functions as part of the neurovascular unit (NVU), which is composed of astrocytes, microglia, specialized endothelial cells, pericytes, and the basement membrane of the BBB. The endothelial cells that line the blood vessels in the brain become less effective with age. An increase in the permeability of these cells can lead to a compromised barrier.149 The basement membrane, which supports endothelial cells, also undergoes thickening and structural alterations.150 These changes compromise the structural integrity of the barrier. The expression and functionality of proteins that form tight junctions between endothelial cells, such as occludin and claudin, are reduced.151,152 The structure and function of the BBB also undergo significant alterations with ageing, which contribute to the progression of neurodegenerative diseases and cognitive decline.153 A key change is the increased permeability of the BBB.154 The enhanced permeability facilitates the easier entry of potentially detrimental substances, such as toxins and pathogens, into the brain. The process of ageing is associated with a state of low-grade chronic inflammation, which further compromise the integrity of BBB, leading to increased permeability and more significant damage. The glymphatic system, a crucial transportation mechanism, facilitates the clearance of metabolic waste and misfolded proteins within the brain. This system is comprised of three distinct components: the periarterial space, the perivenous space, and the interstitial space in brain parenchyma. The expression of aquaporin-4 (AQP4) in astrocytes significantly influences the transport and clearance functions of the glymphatic system.155 As individuals age, there is a decline in the efficiency of these transport mechanisms in eliminating waste products such as Aβ.156,157 This inefficiency contributes to the accumulation of neurotoxic substances within the brain during ageing.

Notably, changes in various brain cells during ageing are not independent events. In contrast, these cells closely interact with each other through cell‒cell cross talk and jointly promote brain ageing and brain ageing-related neurodegeneration. For example, demyelination is an early sign of brain ageing, and shed myelin sheaths can accumulate in microglia, leading to microglial ageing and dysfunction.158 Senescent microglia actively secrete proinflammatory cytokines, which further leads to activation of astrocyte and neuronal apoptosis.145 The current understanding of the ageing hallmarks in various brain cells is comprehensive; therefore, exploring the characteristics of altered intercellular communication during ageing should be considered as a prospective avenue for future research.

Tissue or organ level

The accumulation of cellular changes gradually leads to alterations in brain structure. Changes in brain volume and structure are significant characteristics of brain ageing. One of the most notable structural changes in the ageing brain is thinning of the cerebral cortex.159 Studies using magnetic resonance imaging (MRI) have consistently shown a reduction in cortical thickness with age.160 This thinning is particularly evident in the prefrontal cortex, which is responsible for executive functions such as decision-making, problem-solving, and planning.161 Ageing is associated with a decrease in grey matter volume, which consists of neuronal cell bodies, dendrites, and synapses. The reduction in the grey matter volume is more pronounced in regions such as the hippocampus, which plays a critical role in memory and learning.162 The white matter, which contains myelinated axons, also undergoes significant changes. The white matter integrity undergoes a general decline, characterized by decreases in both myelin density and quality.163 This degradation can lead to slower neural signal transmission and impaired connectivity between different brain regions.

Neuronal circuit level

Functional connectivity between different brain regions changes with age. A decrease in the strength of long-range connections, particularly between the frontal and parietal lobes, often occurs.164 Imaging studies have revealed a decrease in the fraction of action-plan-coding neurons and the action plan signal of individual neurons in the medial prefrontal cortex (mPFC), leading to impaired working memory coding and recurrent connectivity.165 Conversely, an increase in local connectivity may be present within certain regions, which can lead to less efficient information processing. The cognitive function arises from the dynamic interactions occuring within extensive brain networks. Studies have shown that intranetwork connectivity decreases while extranetwork connectivity increases with age, diminishing the integrity of many large-scale networks.166 The default mode network (DMN), which is active during rest and is involved in self-referential thinking, shows altered activity patterns with ageing. Older adults often exhibit decreased deactivation of the DMN during task performance, which is thought to contribute to attentional deficits.167 The circuitry of the hippocampus, crucial for memory formation, undergoes alterations. A decrease in the functional connectivity between the hippocampus and other brain regions, such as the prefrontal cortex, has been observed.168 These disruptions can impair the encoding and retrieval of memories. Disruptions in primary information processing networks, such as auditory, visual, and sensorimotor networks, may lead to the overactivity of multisensory integration networks and the accumulation of pathological proteins, contributing to the development of dementia.169 Ageing also affects various neurotransmitter systems, including those involving dopamine, serotonin, and acetylcholine. The activity of dopaminergic circuits, specifically, exhibits a decline, thereby potentially impacting motor control and executive functions.170

Functional level

The cumulative alterations occurring at the aforementioned levels during the process of ageing ultivately result in impairments in brain function, which serve as the basis of various neurodegenerative diseases. Brain functions, including cognition, motor coordination, sensory perception, and emotion, are affected by ageing. Ageing is strongly associated with a decline in cognitive functions, including memory, executive function, processing speed, and attention. Episodic memory and working memory are particularly susceptible to age-related decline, which adversely affects an individual’s capacity for acquiring new information and excuting intricate cognitive tasks.171 The decline in fine motor ability is consistently observed with advancing age,172 making it a reliable indicator for predicting brain ageing. Additionally, emotional changes, such as age-related anxiety and depression, are prevalent in ageing populations.173,174

In conclusion, the hallmarks of brain ageing involve multiple factors, ultimately leading to a decline in overall nervous system function. These hallmarks provide a crucial basis for assessing the degree of brain ageing and for the prevention and treatment of neurodegenerative diseases.175

Regulatory mechanisms of brain ageing in neurodegenerative diseasesBrain ageing is the principal risk factor for a spectrum of neurodegenerative diseases. It precipitates the onset of these conditions through a convergence of cellular and molecular processes, notably oxidative stress, inflammation, disrupted proteostasis, synaptic dysfunction, compromise BBB integrity, genetic predisposition, and cellular senescence. Although ageing constitutes a unifying factor in neurodegeneration, each disorder manifests distinct pathological and molecular signatures. AD ranks among the most prevalent neurodegenerative conditions. Accordingly, our focus lies in elucidating the molecular and cellular mechanisms through which brain ageing influences AD. Additionally, we delineate ageing-associated mechanisms pertinent to other neurodegenerative disorders, such as PD, ALS, and HD (Fig. 4).Fig. 4Schematic diagram of the decline in brain adaptation during ageing and neurodegenerative diseases. a Young and healthy brains can actively respond to various stimuli, thus maintaining homoeostasis and normal brain function. During ageing, the compromised adaptation of the brain is insufficient to recover from stimulus-induced perturbations, resulting in a homoeostasis imbalance and the development of disease. b In the brains of neurodegenerative disease patients, pure neurodegenerative disease pathology is relatively rare and is often accompanied by other pathological changes, such as vascular damage and the aggregation of pathological proteins (e.g., TDP43 and Lewy bodies). Once these comorbidities occur, cognitive decline appears earlier, progresses more rapidly, and reaches lower levels. NDs neurodegenerative diseases, Aβ amyloid-β, BBB blood–brain barrier, NFTs neurofibrillary tangles, TDP43 transactive response DNA binding protein 43. The figure was produced utilizing the applications Easy PaintTool SAI and Adobe IllustratorFull size image

Brain ageing and AD

Brain ageing and AD share common alterations, such as a loss of proteostasis, oxidative stress, and inflammation, which are exacerbated in AD.99 These alterations are caused by cellular dysfunction and involve almost all types of neural cells. The neurons serve as the principal site for Aβ production and NFT formation, which are fundamental to cognitive impairment. The amyloidogenic processing of APP primarily involves the activities of β- and γ-secretases, both of which are upregulated in neurons during ageing.176 Conversely, the activity of Aβ-degrading enzymes such as neprilysin and insulin-degrading enzymes decreases,177 thereby promoting cerebral Aβ accumulation. Microglia are the primary immune cells in the brain that clear pathological and redundant substances such as Aβ. However, the phagocytosis of Aβ is defective in aged microglia.178 Astrocytes play a crucial role in providing neurons with energy and neurotrophic factors, while also being involved in the regulation of the BBB funciton and inflammatory processes.179 The process of ageing in astrocytes results in neuronal energy and nutrient deficiency, an augmented SASP and BBB permeability.90 Furthermore, oligodendrocytes provide energy and nutrients for neuronal axons and protect them from injury. The loss of myelin integrity with ageing has been reported to promote Aβ formation and neuronal degeneration in animal models.180 Cerebral vessels, especially microvessels are responsible for the exchange of substances between the brain and the blood. The integrity and functionality of the BBB and the lymphatic system are contingent upon the structural characteristics and operational dynamics of cerebral blood vessels.149,155 The permeability of the BBB increases and the transport capacity of the glymphatic system diminishes during the process of age, facilitating the accumulation of Aβ and other pathological substances in the brain.181,182

Importantly, brain cells do not function independently but interact in the form of cellular networks such as neurovascular units. During the process of brain ageing, the concurrent decline in both the structure and function of these neural cells, along with the presence of comorbidities, results in an imbalance between the stimulation and adaptive responses of the CAS, leading to accumulation of Aβ and tau proteins, neurodegeneration, and ultimately dementia. Thus, the role of age-related alterations in intercellular communication in the AD pathogenesis is worthy of investigation.

Furthermore, instances of concurrent pathologic changes are prevalent in elderly individuals, whereas pure AD represents an exception. The most common comorbidities that underlie cognitive impairment include pathologic changes associated with cerebrovascular and other concomitant neurodegenerative diseases (e.g., Lewy bodies, TDP-43, and hippocampal sclerosis). Data from the Religious Orders Study/Memory and Ageing Project (ROS/MAP) cohort revealed that approximately 97% of persons diagnosed with probable AD had other concomitant neurodegenerative or vascular comorbidities, including microinfarcts or any of the vessel diseases that are also commonly present and contribute to cognitive impairment, whereas more than 86% of older persons without cognitive impairment had vascular, AD or other degenerative comorbidities in the brain.183 These comorbidities are also affected by ageing and promote the progression of AD and dementia.

Brain ageing and PD

Several major molecular hallmarks of brain ageing overlap with mechanisms implicated in PD neurodegeneration, including oxidative damage and mitochondrial dysfunction, a loss of protein homoeostasis, neuroinflammation, genomic instability, and impaired stress responses. Among them, mitochondrial dysfunction and bioenergetic failure have been implicated as primary mechanisms for the development of PD. This finding is supported by the identification of reduced levels of complex I in dopaminergic neurons of PD patients,184 and reinforced by recent studies on familial PD-linked genes such as,leucine-rich repeat kinase 2 (LRRK2), Parkin, synuclein alpha (SNCA), and DJ-1, as well as PD-like phenotypes resulting from genetic deletion of a catalytic ETC complex I subunit.184,185,186,187 Dopaminergic neurons are more vulnerable to the age-related loss of mitochondrial function, resulting in bioenergetic stress due to their highly ramified processes that harbour dense mitochondria to sustain energy-requiring processes at distal sites.188 Ageing is a critical factor contributing to mitochondrial dysfunction, a pivotal event in the pathogenesis of PD. As cells age, mitochondrial DNA accumulates mutations, and the efficiency of oxidative phosphorylation decreases.189 These changes lead to increased production of ROS, causing oxidative stress and damage to cellular components, including proteins, lipids, and nucleic acids. Furthermore, ageing impairs the mitophagy process, reducing the clearance of damaged mitochondria and exacerbating cellular stress.190 These vulnerabilities are particularly pronounced in the dopaminergic neurons of the substantia nigra due to their high metabolic demand and reliance on mitochondrial function. The convergence of these ageing-related mitochondrial impairments contributes significantly to the neurodegenerative processes observed in PD patients, highlighting the importance of maintaining mitochondrial health as a potential therapeutic avenue for mitigating disease progression.

Brain ageing and other neurodegenerative diseases

In addition to AD and PD, ALS, FTLD and HD are also prominent neurodegenerative disorders. This section provides a concise overview of the ageing mechanisms implicated in ALS, FTLD, and HD, with a specific focus on how the process of ageing influences their distinct pathological progression.

Unlike AD and PD, ALS is a relatively rare neurodegenerative disease with a global prevalence of approximately 1.57–11.80 per 100,000 individuals.191 The average age of onset is 55 years. Ageing intersects with unique molecular mechanisms in ALS that differentiate it from other neurodegenerative conditions. One distinguishing characteristic is the preferential susceptibility of motor neurons to protein aggregation. Mutations in genes such as SOD1, TDP-43, and FUS lead to the formation of toxic protein aggregates specifically within motor neurons.192 The cellular capacity for efficient trafficking and clearance of misfolded proteins diminishes with age, resulting in the accumulation of toxic proteins and hastening the demise of motor neurons. Furthermore, ALS is characterized by aberrant RNA processing and nucleocytoplasmic transport defects, which are often linked to mutations in C9orf72 and other RNA-binding proteins.193 Ageing-related changes in the expression and activity of splicing factors can further impair RNA processing. Unlike other neurodegenerative diseases, ALS also results in pronounced disturbances in the axonal transport and cytoskeletal dynamics of motor neurons.194 These molecular abnormalities, coupled with age-related decreases in cellular repair mechanisms, result in the progressive degeneration of motor neurons, underscoring the unique interplay between ageing and ALS pathogenesis.

FTLD, which shares some of the pathological and genetic mechanisms with ALS, is also a common form of dementia, with a prevalence ranging from 1 to 461 per 100,000 people.195 The majority of FTLD cases arise from mutations in genes encoding microtubule-associated protein tau (MAPT), progranulin (GRN), and C9orf72, whereas the remaining FTLD cases are caused primarily by mutations in genes encoding FUS, TDP-43, valosin-containing protein (VCP) and charged multivesicular body protein 2B (CHMP2B). These mutations are associated with defective autophagic clearance and lysosomal function.196 Autopsy evidence revealed that the brains of the elderly population are more susceptible to TDP43 accumulation.197 Additionally, brain ageing is accompanied by lysosomal dysfunction and neuroinflammation,198 which collectively accelerate the occurrence and development of FTLD.

HD is a relatively rare neurodegenerative disease, with an average prevalence of 4.88 per 100,000 individuals.199 HTT gene mutations trigger a cascade of molecular events, including transcriptional dysregulation, impaired protein homoeostasis, and disrupted intracellular transport.200 These abnormalities are compounded by age-related decreases in cellular repair mechanisms and increased oxidative stress. Unlike other neurodegenerative diseases, HD specifically affects the striatum and cortex, leading to characteristic motor, cognitive, and psychiatric symptoms. Thus, the interplay between ageing and the unique genetic and molecular landscape of HD drives its distinct pathogenesis.

Ageing is a holistic non-specific process that nevertheless promotes specific types of neurodegenerative diseases in different individuals. Ageing is regulated by both environment and genetic factors (wherein the latter are also subject to environment). As well, ageing exerts an effect on the specific risk factors associated with different neurodegenerative diseases. The four aforementioned aspects act in a synergistic manner on the specific mechanisms and pathways of neurodegenerative diseases. The molecular, cellular, and systemic regulatory mechanisms of brain ageing significantly contribute to the development and progression of various neurodegenerative diseases. Key mechanisms encompass genetic factors, neuroinflammation, oxidative stress, mitochondrial dysfunction, proteostasis disruption, protein aggregation, synaptic plasticity impairment, and cellular senescence. Collectively, these mechanisms modulate specific pathways involved in neurodegenerative diseases. In the context of AD, brain ageing processes play a crucial role in neuronal degeneration and disease progression through their pleiotropic impact on AD-specific pathologies (such as amyloid-beta accumulation and tau hyperphosphorylation) as well as common age-related changes (Fig. 5). Understanding these intricate mechanisms provides essential insights into potential therapeutic strategies aimed at mitigating the effects of ageing on the brain and slowing down the progression of neurodegenerative disorders.Fig. 5Specific mechanisms by which ageing promotes different neurodegenerative diseases. a Ageing promotes specific neurodegenerative diseases. Ageing is a holistic non-specific process that nevertheless facilitates the emergence of distinct types of neurodegenerative diseases in different individuals. Ageing is co-regulated by both environment and genetic factors (wherein the latter are also subject to environment). As well, ageing exerts an effect on the specific risk factors associated with different neurodegenerative diseases. The interplay between environmental and genetic factors co-regulates ageing, with the latter also being influenced by environmental conditions. Furthermore, ageing impacts the specific risk factors associated with different neurodegenerative diseases. These four aforementioned aspects synergistically interact with the unique mechanisms and pathways underlying neurodegenerative diseases. b Brain ageing acts on the AD pathway. During brain ageing, molecular, cellular, and tissue/systemic networks undergo profound transformations that promote specific pathways conducive to various neurodegenerative diseases. For example, AD is characterized by Aβ accumulation, which occurs alongside age-related comorbidities leading to neuronal degeneration and AD progression. In the context of brain ageing, Aβ-degrading enzymes and amyloidogenic processing of APP directly affect both Aβ production and clearance rates. Key hallmarks of ageing include oxidative stress, mitochondrial dysfunctions, genomic instability, proteasome and lysosomal dysfunctions as well as nutrient perception disorders; these factors collectively enhance Aβ deposition. Additionally, age-related reductions in microglial activity and transport systems such as the blood-brain barrier and glymphatic system impair Aβ clearance efficiency. The accumulation of Aβ triggers downstream formation of NFTs, further exacerbating hallmark features associated with ageing while concurrently diminishing neuroglial support for neurons, this combination accelerates neuronal degeneration linked to AD pathology. Moreover, neuroinflammation along with alterations in structural integrity and functional capabilities within an ageing brain contribute significantly to AD pathogenesis; peripheral organ ageing also plays a role in influencing AD progression through direct effects on Aβ dynamics as well as indirect effects on brain ageing. APP amyloid precursor protein, PS presenilin, ApoE Apolipoprotein E, TREM2 triggering receptor expressed on myeloid cells 2, SNCA synuclein alpha, LRRK2 leucine-rich repeat kinase 2, PINK1 PTEN-induced putative kinase 1, PRKN parkin RBR E3 ubiquitin protein Ligase, SOD1 superoxide dismutase 1, C9orf72 chromosome 9 open reading frame 72, FUS fused in sarcoma, TDP-43 transactive response DNA binding protein 43, MAPT microtubule associated protein tau, GRN granulin, HTT huntingtin, AD Alzheimer’s disease, PD Parkinson’s disease, ALS Amyotrophic lateral sclerosis, FTLD Frontotemporal lobar degeneration, HD Huntington’s disease, NFTs neurofibrillary tangles, Aβ amyloid-β, α-syn α-synucleinFull size image

Body‒brain axes in relation to ageing and neurodegenerative diseasesThe brain, serving as the central hub of the body, not only governs the activities of peripheral tissues and organs but also undergoes reciprocal influences from them, establishing a crucial network of interconnected organs and systems that uphold overall bodily function. Emerging evidence indicates that the ageing of peripheral organs contributes to brain ageing and the development of neurodegenerative diseases.201 Recent investigations propose that ageing constitutes a nonlinear dynamic procedure demarcated by heterogeneity among diverse organs and systems.86,202 This finding underscores the complex nature of ageing, indicating that interventions should be approached from a holistic perspective. Here, we aim to introduce the concept of body‒brain axes in relation to ageing and neurodegenerative diseases (Fig. 6).Fig. 6The impacts of the body‒brain axis ageing on neurodegenerative diseases. The brain interacts with multiple peripheral organs, and the functions and structures of peripheral organs change with age, leading to a decline in their support of the brain. Aged peripheral organs interfere with pathological proteins accumulation, neuronal activity and other brain functions, ultimately promoting the dysregulation of brain homoeostasis and the occurrence of neurodegenerative diseases. FSH follicle-stimulating hormone, Aβ amyloid-β, GCs glucocorticoids, SASP senescence-associated secretory phenotype, AD Alzheimer’s disease, COVID-19 coronavirus disease 2019, NFTs neurofibrillary tangles, APP amyloid precursor protein, PTH parathyroid hormone, FGF21 fibroblast growth factor 21, Gpld1 glycosylphosphatidylinositol-specific phospholipase D1, OCN osteocalcin, LCN2 lipocalin-2, CCL11 C-C motif chemokine ligand 11, B2M β2-microglobulin, GDF11 growth differentiation factor 11, TIMP2 tissue inhibitor of metalloproteinase 2, CSF2 granulocyte‒macrophage colony stimulating factor, PD Parkinson’s disease, α-syn α-synuclein, ALS Amyotrophic lateral sclerosis, HD Huntington’s disease, FTLD Frontotemporal lobar degeneration, ANS autonomic nervous system, RAS renin–angiotensin system. The figure was produced utilizing the applications Easy PaintTool SAI and Adobe IllustratorFull size imageHeart‒brain axisAt rest, the adult brain typically receives approximately 15 to 20% of the cardiac output to ensure a sufficient supply of energy and oxygen. However, the ageing process results in decreases in the ejection fraction and the portion of cardiac output allocated to the brain,203 as well as the contraction of the cerebral vasculature, which jointly result in chronic brain hypoperfusion (CBH).204,205 Additionally, the autonomic nervous system (ANS) of the heart in the elderly experiences pathological oscillations, leading to myocardial electrophysiological changes and defective activation and recovery of the myocardium, resulting in a loss of the ability to regulate the heart rate and rhythm of the heart.206 A recent study established the biological age (BA) of multiple human organ systems using data from the UK Biobank and revealed that cardiovascular age has the strongest influence on brain age, with a 1-year increase in the cardiovascular age increasing the brain BA by 27 days.207The progression of age-related heart changes plays a pivotal role in the onset and progression of neurodegenerative diseases. AD patients often exhibit lower ejection fractions, lower cerebral blood flow velocities, and greater vascular resistance.208,209 CBH during ageing has been widely reported to contribute to AD pathogenesis.210 CBH directly enhances the synthesis and amyloidogenic processing of APP by increasing the activities of β-secretase and γ-secretase to produce Aβ.211 Additionally, CBH disrupts the integrity of BBB, impairing the clearance of Aβ from the brain via transcytosis. Furthermore, cerebral ischaemia and hypoxia due to CBH disrupt neuronal energy metabolism and lead to acidosis and oxidative stress, ultimately causing neuronal degeneration and cognitive impairment in an Aβ-independent manner.212 On the other hand, the elderly heart is prone to chronotropic insufficiency, and the inability to regulate heart rate is affected by the ageing ANS.213 This change is considered an early sign of PD214 and HD,215 as well as one mechanism of cognitive decline in elderly women.216 The measurement of vascular risk may serve as a valuable tool for the early diagnosis of patients with PD or the identification of those individuals who are at high risk, thereby confirming the potentially intricate relationship between cardiac health and PD.217 In addition, alterations in heart rate and the ANS are related to atrophy of the mesial temporal cortex, insula, and amygdala, as well as energy homoeostasis, which is prevalent in FTLD.218Liver‒brain axisThe liver plays important roles in regulating metabolism and degrading metabolic wastes or poisons from the blood, thus maintaining brain and whole-body homoeostasis. Studies in humans have revealed that liver function decreases with age, as indicated by increased serum γ-glutamyl transpeptidase and alanine aminotransferase levels.219 Liver biopsies from older adults revealed that the degree of liver ageing is related to the severity of nonalcoholic fatty liver disease (NAFLD),220 which increases the brain age by approximately 4.2 years.221 In addition, the liver secretes neuroprotective molecules such as fibroblast growth factor 21 (FGF21) and glycosylphosphatidylinositol-specific phospholipase D1 (Gpld1), which are reported to prevent neuronal apoptosis,222 improve neurogenesis223 and even prolong the lifespan of mice.224 The aged liver secretes fewer neuroprotective molecules and eliminates fewer neurotoxic substances (e.g., superoxide radicals), exacerbating the accumulation of excessive oxidation products in the brain.225The aged liver mainly participates in the clearance of excessive brain-derived misfolded proteins, thereby driving the pathological events of neurodegenerative diseases. The liver clears approximately 60% of circulating Aβ.226 However, this capacity decreases with age, which is partially attributed to the low expression of low-density lipoprotein receptor-related protein 1 (LRP-1) in hepatocytes.227,228,229 In addition, hepatic soluble epoxide hydrolase activity increases with age, decreasing the brain level of 14,15-epoxyeicosatrienoic acid, which directly binds to Aβ to prevent its deposition and indirectly enhances microglial TREM2-dependent Aβ phagocytosis, further delaying cognitive decline.230 In PD, brain-derived α-syn accumulates in the livers of both mice and humans; thus, the liver may participate in the clearance and detoxification of α-syn,231 suggesting that a decrease in aged liver function increases α-syn deposition in the brain. Furthermore, deficits in toxin clearance in aged livers increase the concentrations of circulating toxic substances, especially citrulline and ammonia, which may accelerate the onset of HD.232Gut microbiome‒brain axisThe gut microbiome primarily regulates brain homoeostasis through the vagus nerve, endocrine system, immune system and transmission of metabolites.233 The microbiota and its metabolites are altered during ageing; for example, the abundance of the anti-inflammatory bacterium Faecalibacterium decreases, whereas that of proinflammatory Fusobacterium increases, leading to intestinal inflammation.234 The gut microbiota derived from old rats facilitates brain ageing in young rats; this effect manifests as modifications in synaptic structure and increased levels of advanced glycosylation end products (AGEs), which are markers of ageing.235Microbial dysbiosis during ageing is undeniably linked to the metabolism of multiple pathogenic proteins. First, it is implicated in the release of lipopolysaccharide (LPS) and bacterial amyloid protein.236 The bacterial amyloid protein may induce Aβ accumulation via a prion-like seeding mechanism.237 In addition, LPS impedes Aβ clearance by increasing the vascular sequestration of Aβ, reducing the bulk flow of cerebrospinal fluid and impairing Aβ transport across the BBB.238 Moreover, LPS induces the formation of a distinct type of α-syn fibrils, similar to the pattern of wild-type α-syn fibril induction commonly observed in individuals with PD.239 As early as 2003, human autopsy evidence first revealed that intestinal α-syn could retrogradely diffuse from the vagal nerve to the substantia nigra and destroy dopaminergic neurons.240 Correspondingly, truncal vagotomy prevents the spread of α-syn from the gut to the brain, which is associated with neurodegeneration and behavioural deficits.241,242 Additionally, peripheral LPS promotes TDP-43 mislocalization and aggregation, contributing to TDP-43 proteinopathies in neurodegenerative disorders, such as FTLD and ALS.243 Second, intestinal inflammation may activate the CCAAT-enhancer-binding protein (C/EBPβ)/asparagine endopeptidase (AEP) pathway. This pathway is responsible for mediating the cleavage of APP and tau proteins, resulting in the formation of pathological fragments (e.g., APP C586 and tau N368) that promote Aβ and NFT formation, which are transmitted to the brain through the vagus nerve.244 In addition, activated C/EBPβ inhibits the expression of BDNF and netrin-1, leading to α-syn aggregation and dopaminergic neuronal loss.245 Eventually, microbial dysbiosis triggers chronic systemic inflammation, disrupting the BBB and exacerbating neuroinflammation and the progression of neurodegenerative diseases.246,247,248Kidney–brain axisThe kidneys are responsible for eliminating harmful circulating substances, preventing their excessive accumulation in the brain.249 Kidney biopsy data from elderly individuals indicate that ageing is associated with a decline in the glomerular filtration rate.250 Moreover, the kidney is capable of secreting antiageing factors, such as klotho, which has been shown to enhance cognition and neural resilience. Furthermore, it has been observed that the level of kolotho decreases during the ageing process of the kidney.251,252 Additionally, the kidneys also release various proteins that promote brain ageing, such as kidney-associated antigen 1.253To date, research on the pathogenic mechanisms of aged kidneys in neurodegenerative diseases has predominantly focused on AD and PD. The kidney serves as an organ that mediates the clearance of peripheral Aβ. Patients with CKD and animals undergoing unilateral nephrectomy exhibit elevated levels of circulating and cerebral Aβ, along with impaired cognition.254,255,256 In addition, renal insufficiency also leads to increased levels of circulating uraemic neurotoxins such as parathyroid hormone and neuropeptide Y, which adversely affect hippocampal neuronal apoptosis and the permeability of the BBB, respectively.257 Due to the activation of the renin-angiotensin system in aged kidneys, there is an increase in angiotensin II levels which acts on angiotensin II type 1 receptors in the substantia nigra and striatum. This induces oxidative stress and inflammation, thereby increasing the risk of PD.258,259Lung–brain axisThe adequate delivery of oxygen to the brain heavily relies on pulmonary ventilation and gas exchange. However, lung function tends to deteriorate with age, which can be indicated by a reduction in the forced expiratory volume in one second to forced vital capacity ratio (FEV1/FVC).260 Furthermore, the phagocytic capacity of alveolar macrophages and neutrophils, which are responsible for pathogen clearance, diminishes in elderly individuals, thereby heightening their susceptibility to pulmonary infections.261 According to population surveys, poorer pulmonary function (PF) is associated with a decreased brain volume and increased white matter hyperintensity (WMH),262 and a 1-year increase in the lung BA increases the brain BA by 25 days.Autopsy investigations revealed that decreased PF is associated with a greater burden of AD pathologies, including amyloid deposition and neurofibrillary tangles.263 The potential mechanisms may involve the induction of chronic hypoxia and subsequent activation of hypoxia-inducible factor 1 (HIF1), which in turn accelerates the production of Aβ via the overexpression of β-secretase and γ-secretase while impairing Aβ clearance through microglial dysfunction.264 Moreover, chronic hypoxia is thought to trigger α-syn phosphorylation and aggregation, which interacts with hypoxia-induced mitochondrial dysfunction to worsen PD progression.265Additionally, a large-scale epidemiological study demonstrated that infectious diseases, including pulmonary infections, increase the risk of AD and PD dementia (PDD).266,267 Additionally, a special type of pathogen, M. tuberculosis, which primarily targets the lung, increases the risk of PD by 1.38 times. Single nucleotide polymorphisms (SNPs) in several genes, namely, LRRK2, PARK2, and PINK1, confer susceptibility to both mycobacterial infection and PD.268 The most common virus associated with parkinsonism is influenza. Although these viruses do not directly affect the CNS, pandemic outbreaks of influenza are associated with encephalitis with Parkinsonian features. This finding is ascribed to each of these factors inducing a significant systemic infection characterized by the production of significantly high levels of cytokines and chemokines, namely, a cytokine storm, further initiating an inflammatory cascade in the brain.269The coronavirus disease 2019 (COVID-19) pandemic has emerged as the most extensive and persistent global health crisis in recorded history. The neuroinvasive nature of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) allows it to invade the brain through both the olfactory route and the vagus nerve, which may be an important mechanism for causing clinical symptoms such as early olfactory loss, gastrointestinal and respiratory dysfunctions in COVID-19 patients.270,271 Autopsy evidences from COVID-19 patients directly demonstrated that SARS-CoV-2 enters the CNS partly through the olfactory mucosal-nervous milieu. This is supported by high viral RNA levels in the olfactory mucosa, and the presence of SARS-CoV spike protein in olfactory neurons.271 Moreover, even when respiratory testing for SARS-CoV-2 yields negative results, viral RNA can still be detected in faeces, indicating persistence and replication of SARS-CoV-2 within the gastrointestinal tract.270 It has been hypothesized that retrograde invasion of CNS via the vagus nerve may occur with SARS-CoV-2.272 Furthermore, autopsy evidence from two cases reveals immunohistochemical detection of SARS-CoV-2 in the vagus nerve fibres located on the surface of the brainstem, suggesting potential transportation of virus from lungs to brain through this pathway.273,274The elderly population demonstrates a elevated susceptibility to SARS-CoV-2 infection. Epidemiological evidence indicates that individuals aged 80 and above have approximately three times higher incidence of COVID-19 compared to those aged 45 to 79, and significantly greater than individuals under the age of 24 during the initial phase of the American epidemic.275 Infection with SARS-CoV-2 triggers a cytokine storm, inflammation, cellular senescence, age-related immunosenescence, as well as diminished physiological reserves in the respiratory system and other organs.276,277 These processes are commonly associated with ageing and also implicated in the pathogenesis of neurodegenerative diseases. Furthermore, SARS-CoV-2 directly induces AD pathogenesis such as neuronal damage and amyloid processing,278,279,280 as well as PD pathogenesis including α-syn aggregation and dopaminergic neuronal loss in various models.281 Previous studies have demonstrated an association between COVID-19 and long-term brain atrophy and cognitive impairment in older individuals.282,283 The Real-time Assessment of Community Transmission (REACT) study conducted in England involving over 140,000 participants revealed that COVID-19 leads to persistent objective cognitive deficits lasting for one year or more after infection.284 Similarly, COVID-19 exacerbates both motor and nonmotor symptoms in PD patients, particularly urinary issues and fatigue.285,286 In conclusion, SARS-CoV-2 may accelerate the ageing process while increasing the risk of neurodegenerative diseases among older adults.Muscle–brain axisMuscles secrete numerous myokines that mediate bidirectional communication between the muscles and multiple organs. For example, cathepsin B and fibronectin type III domain containing protein 5 (FNDC5)/irisin have been shown to enter the brain and enhance neurogenesis and cognition.287 Irisin has also been revealed to increase telomerase activity to extend the lifespan.288 During ageing, the secretion of these myokines decreases.289 Additionally, a 1-year increase in the muscle BA increases the brain BA by 13 days. Therefore, a plausible speculation is that aged muscles have the potential to drive brain ageing.Muscle ageing is a risk factor for the occurrence and development of several age-related diseases.290 Studies have shown that sarcopenia in elderly individuals is associated with a greater risk of AD and faster cognitive decline.291 However, the exact mechanisms underlying this relationship remain unclear. In light of previous studies, two potential explanations are proposed. First, the abundance of muscle-derived Aβ increases with age, potentially contributing to Aβ deposition in the brain.292 Second, decreased levels of myokines may account for the deterioration of cognitive function and neurodegeneration.289 In addition, neuromuscular junction dismantling and denervation occur in aged muscle, which are also key factors contributing to the onset of clinical symptoms and pathogenesis of ALS.293 In addition, a well-recognized observation in HD patients is defects in energy metabolism in skeletal muscle. mHTT affects mitochondrial complex activation and dysfunction of the mitochondrial respiratory chain in skeletal muscle, which may be markers of HD progression.294Bone–brain axisBone releases cytokines such as osteocalcin (OCN) and lipocalin-2 (LCN2), as well as bone marrow-derived cells, which affect the brain. OCN promotes brain-derived neurotrophic factor (BDNF) expression and the release of inhibitory neurotransmitters to improve cognitive function. Conversely, LCN2 induces the activation of glial cells and neuroinflammation.295 During ageing, bone support is diminished due to decreased OCN levels, as well as increased LCN2 and sclerostin levels. Moreover, age-related brain atrophy and ventricular enlargement have been linked to osteoporosis, further emphasizing the impact of aged bone on brain ageing.296Osteoporosis may accelerate atrophy of the entorhinal cortex and hippocampus, increasing the risk of AD by 1.27 times.297 Accordingly, in a study of a large number of postmenopausal women, osteoporosis increased the risk of PD by 1.4 times.298 Even if no obvious evidence for the relationship between osteoporosis and HD is available, bone mineral density is significantly lower in pre-HD carriers than in healthy controls.299 Additionally, osteoblasts have been reported to produce Aβ, this might be involved in the development of AD. Transplantation of bone marrow mesenchymal stem cells upregulated beclin-1 expression, increasing autophagy in the hippocampus to clear Aβ.300 Furthermore, changes in bone-derived cytokines during ageing may also be implicated in several neurodegenerative diseases.301 For example, OCN decreases the Aβ load, increases glycolysis in microglia and astrocytes,302 and ameliorates motor deficits and dopaminergic neuronal loss in PD mice.303 LCN2 and sclerostin aggravate neuroinflammation and abolish synaptic plasticity,304,305 thereby accelerating the progression of AD, PD and ALS.306,307,308Blood‒brain axisThe blood circulation connects the brain and each organ of the body, thus collecting pro-ageing and antiageing factors derived from various organs or systems. Systemic factors in the blood can directly cross the BBB or blood–cerebrospinal fluid barrier, or indirectly transduce signals to target neurons, astrocytes, microglia, and other targets to regulate brain function.309 Exposing a young mouse to plasma from old mice impairs synaptic plasticity, neurogenesis and cognition,310,311 suggesting that aged blood contributes to brain ageing.A variety of complex components of the circulatory system are associated with neurodegenerative diseases. Blood-derived Aβ has been found to enter the brain, inducing homoeostasis disorders and AD-related pathology.312 Platelets, which are responsible for approximately 90% of circulating Aβ,313 are overactivated with ageing314,315 and are reported to release more Aβ and subsequently induce Aβ deposition in the brain and cognitive impairment.316 Additionally, serum albumin, which is responsible for adhering to and transporting Aβ, is inversely associated with Aβ deposition in the brain.317 Serum albumin levels decrease with age,318 possibly increasing Aβ deposition in the brain, as albumin is able to sequester Aβ from the blood.319Emerging systemic factors in the blood are associated with neurodegenerative pathological events. During ageing, the levels of pro-ageing factors such as C-C motif chemokine ligand 11 (CCL11) and β2-microglobulin (B2M) in the blood gradually increase, which damages synapse, neurogenesis and cognition.310,320,321 In contrast, the levels of antiageing factors, such as GDF11, tissue inhibitor of metalloproteinase 2 (TIMP2) and granulocyte‒macrophage colony stimulating factor (CSF2), are reduced. These factors are linked to improved microglial phagocytosis and neurogenesis and reduce the Aβ load, thus enhancing cognition.72,322,323,324 Similarly, in PD animal models, GDF11 overexpression inhibits oxidative stress, cell senescence and apoptosis of dopaminergic neurons.325Immune–brain axisThe immune system is responsible for protecting the host from endogenous and exogenous antigens to maintain body homoeostasis.326 Immunosenescence is characterized by dysfunctions in monocyte and neutrophil phagocytosis, decreased numbers of naive T cells, increased numbers of memory T cells,327 and increased SASP secretion by these cells,327,328 thereby weakening the immune response to foreign antigens. Notably, the selective induction of immune cell ageing increases the levels of the ageing markers p16 and p21 in multiple organs, including the brain,328 thereby highlighting the crucial roles played by the immune system in the process of ageing.An intricate correlation has been identified between immunosenescence and neurodegenerative diseases. The phagocytic capacity of aged peripheral myeloid cells decreases during ageing and in AD,329,330 and adaptive immune cells produce a disordered antibody profile, leading to impaired Aβ clearance.331 A longer leukocyte telomere length is related to a greater hippocampal volume and lower WMHs, predicting a lower AD risk.332 Additionally, during abnormal immune ageing, the typical age-associated shift towards senescence in the CD8+ T-cell population may be attenuated, resulting in a heightened immune response to misfolded α-syn and thereby increasing the risk of PD.333 Similarly, in a single-centre, retrospective study, increased numbers of senescent and late memory T and B lymphocytes were characteristic of faster progressing ALS.334 Despite the lack of direct evidence, alterations in immune-regulatory factors, such as elevated levels of interleukin (IL)-6 and monocyte activation, observed in the plasma of early HD patients or even prior to HD onset, provide support for early activation of the immune system in the periphery. This parallels the activation seen in the CNS, suggesting potential crosstalk between the periphery and the CNS may exist.335 Moreover, in elderly patients with FTLD, genes associated with phagosomes and lysosomes in peripheral blood mononuclear cells are downregulated,336 indicating a potential link between the peripheral immune system and FTLD. Additionally, peripheral inflammatory markers, including IL-2, IL-17A, IL-12p70, tumour necrosis superfamily member 8 (TNFRSF8) and tumour necrosis factor (TNF)-α, are associated with neurodegeneration in individuals with FTLD, such as brain atrophy and abnormal metabolism, which are mainly distributed in frontal‒temporal regions.337 Subsequent intensive research even suggested that plasma IL-6 and TNF-α levels may be positively correlated with the rate of cognitive decline.338Immunosenescence renders elderly individuals more susceptible to infection by specific pathogens and neurotropic virus, which are confirmed to increase the risk of neurodegenerative diseases, such as pathogens causing periodontitis,339,340 herpes simplex virus 1 and hepatitis C virus.341 Neurotropic virus directly invade CNS through BBB and peripheral nervous system, accompanied by the SASP, activation of microglia and astrocytes, neuroinflammation, jointly promoting neurodegeneration and cognitive impairment.342,343,344Finally, the systemic chronic inflammation resulting from immunosenescence and non-neurotropic viral infection compels immune cells in the peripheral blood to penetrate the blood-brain barrier (BBB) and choroid plexus and enter the brain,345,346 Additionally, immune cells originating from the cranial bone marrow migrate to the meninges,347 thereby promoting neuroinflammation and neuronal dysfunction while inhibiting neurogenesis. Consequently, this cascade of events triggers neurodegenerative diseases.201,348Endocrine–brain axisThe integration of body functions within the endocrine system is facilitated by hormones Many hormones, including gonadal hormones, glucocorticoids (GCs), thyroid hormones and insulin, are prominently involved in brain activities, including synaptic connections, energy metabolism, neurogenesis and glycometabolism. During the ageing process, these hormones are perturbed due to dysregulation of the major endocrine axes, including the hypothalamic–pituitary–gonadal (HPG) axis, hypothalamic–pituitary–adrenal (HPA) axis and hypothalamic–pituitary–thyroid (HPT) axis, leading to age-related diseases.349 Decreased oestrogen levels are associated with shorter telomere lengths in postmenopausal women, potentially shortening longevity.350 Moreover, elderly people with type 2 diabetes have an average increase of 4.6 years in the brain age gap estimation (brainAGE).351 Furthermore, insulin resistance has been found to reduce life expectancy through epigenetic clocks.352Ageing-related changes in the endocrine system are linked to neurodegenerative diseases, partly because of their impacts on pathological proteins. The elevated level of follicle-stimulating hormone (FSH) directly promotes the accumulation of Aβ and hyperphosphorylated tau in the hippocampus via the C/EBPβ-δ secretase pathway, leading to neuronal apoptosis, synaptic damage and spatial learning deficits.353 Additionally, oestrogen deficiency is more likely to induce the accumulation of Aβ and α-syn in the brain.354,355 In addition, insulin resistance affects the clearance of Aβ, the hyperphosphorylation of tau, and glucose metabolism and enhances the aberrant expression of α-syn.356,357 Moreover, hyperglycaemia aggravates the phosphorylation and aggregation of α-syn, neuroinflammation and dopaminergic neuronal loss in PD mice.358In addition to perturbations in protein homoeostasis, endocrine system disorders contribute to the pathogenesis of neurodegenerative diseases through other molecular mechanisms.359 For example, the levels of tetraiodothyronine (T4) and triiodothyronine (T3) decrease in elderly individuals, resulting in AD-related reducion in blood perfusion in memory-related regions and decrease in energy supply to the CNS due to low glucose metabolism.360,361 Moreover, elevated levels of circulating luteinizing hormone (LH) during ageing process impair BDNF expression and synaptic plasticity.362 Additionally, insulin resistance induces the loss and apoptosis of dopaminergic neurons in individuals with PD by inhibiting the neuroprotective protein kinase B (Akt) pathway,363 and the severity of insulin resistance correlates with that of nonmotor disorders in patients with PD.364 Moreover, several studies have shown that oestrogen disturbances and increased GCs elicit mitochondrial dysfunction, ultimately leading to neuronal and cognitive impairment.352,365 The persistent and chronic elevation in GC levels has a detrimental impact on the functionality of the glucocorticoid receptor (GR). Microglial GR has a crucial role in attenuating microglial cell activation and reducing dopaminergic degeneration. GCs are also known to regulate BBB permeability, affecting the infiltration of cytotoxic molecules and resulting in increased vulnerability of dopamine neurons in PD.366 Ultimately, excessive ACTH leads to activation and hypertrophy of the adrenal cortex in aged HD mice, resulting in elevated cortisol levels,367 that may contribute to impaired glucose metabolism,368 skeletal muscle atrophy, and weight loss.369Except for the above body-brain axes, high fat and obesity are widely known to have negative effects on ageing and AD.370,371 Epidemiological study has found that midlife central obesity increases risk of dementia as high as 3.6 times,372 possibly by activating systemic inflammation, thus worsening astrogliosis, microgliosis, neuroinflammation and Aβ pathology.373,374 Therefore, healthy lifestyles, such as regular physical activity and healthy diet, are associated with weigh loss and reduced the risk of dementia by 0.68 times.375,376Antiageing strategies for neurodegenerative diseases: preclinical studiesAgeing and neurodegenerative diseases are progressive and currently irreversible. Throughout the process of ageing, the accumulation of damage resulting from aberrant responses to both internal and external changes ultimately leads to functional decline, chronic diseases, and eventually mortality.85 The objectives of antiageing interventions primarily focus on the delay, prevention, or even reversal of ageing effects. However, achieving these goals poses challenges due to the limitations of current technological methodologies. Consequently, current preclinical studies in antiageing can only decelerate or mitigate the ageing process, with some studies partially alleviating the effects of ageing and thereby preventing the onset or delaying the progression of neurodegenerative diseases.From a complex systems perspective on ageing, it exerts systemic effects across multiple levels and dimensions within the body. Given the intricate and systemic nature of the ageing process, it is imperative to implement multiple interventional measures simultaneously rather than relying on a single measure in order to achieve more effective outcomes in antiageing interventions. Furthermore, considering that the ageing process and comorbidities expedite the progression of neurodegeneration throughout the entire body system, merely clearing misfolded pathogenic proteins and providing symptomatic treatment are insufficient to halt disease progression or prevent the onset of neurodegenerative disorders. In addition to focusing on neurodegenerative disease-related mechanisms within the brain, it is essential to broaden our attention to the role of systemic risk factors of neurodegenerative diseases throughout the ageing process. Consequently, the need for individualized management of risk factors and comorbidities during the progression of neurodegenerative diseases is evident, alongside the implementation of person-centred care models and social support.377Therefore, the antiageing interventions discussed herein primarily address the systemic effects of ageing. Targeting the entire system rather than focusing on a single element is considered the optimal approach to interfere with ageing and mitigate neurodegeneration.378 We will elaborate on potential systemic antiageing interventions at the molecular, cell, organ/system, and organism levels, to provide an efficient and insightful approach for treating neurodegenerative diseases (Fig. 7).Fig. 7Holistic antiageing strategies. Antiageing strategies need to be implemented systemically at the molecular, cellular, systemic and individual levels. This holistic approach shows promise for preventing brain ageing and treating neurodegenerative diseases. C/EBPβ/AEP CCAAT-enhancer-binding protein/asparagine endopeptidase, IIS insulin/IGF-1 signalling, AMPK 5’-monophosphate-activated protein kinase, SIRT sirtuin, mTOR mammalian target of rapamycin, NAD+ nicotinamide adenine dinucleotide, Aβ amyloid-β, CR caloric restriction, MedDiet Mediterranean diet, MIND Mediterranean–DASH intervention for neurodegenerative delay, TRF time-restricted feeding. The figure was produced utilizing the applications Easy PaintTool SAI and Adobe IllustratorFull size imageAntiageing strategies at the molecular levelSupplementation with antiageing moleculesThe selective supplementation of blood-derived antiageing factors holds promise for revitalizing the aged brain.379 Studies using aged animal models have verified that elevating the levels of circulating OCN, GDF11, and FNDC5 is associated with an augmentation in BDNF levels and enhancement of neurogenesis.380,381,382 Additionally, irisin reduces the formation of pathologic α-syn, prevents the loss of dopaminergic neurons, and improves α-syn-induced motor deficits.383 According to recent reports, replenishing clusterin and platelet factor 4 (PF4) ameliorates neuroinflammation,384,385 and oleoylethanolamide (OEA) enhances microglial phagocytosis,386 all of shese contribute to cognitive improvement and neuroprotection. Moreover, TIMP2 in umbilical cord plasma enhances synaptic plasticity and improves hippocampus-dependent cognition in aged mice.322 In in vitro experiments, thrombospondin-4 (THBS4) and SPARC-like protein 1 (SPARCL1) act directly on neurons to stimulate synapse formation and enhance synaptic responses.387 Despite the impermeability of the BBB, peripherally administered α-klotho protein fragments induce neural resilience and N-methyl-D-aspartic acid receptor (NMDAR)-dependent synaptic plasticity in PD animal models.251 Compared with monotherapy, combination therapy with transforming growth factor-β receptor I (ALK5) inhibitors and oxytocin synergistically reverses the ageing phenotype in multiple organs,388 indicating that simultaneous intervention of multiple antiageing pathways yields better outcomes.Increasing the expression of longevity genes is also promising in inhibiting ageing in animal models. Directly increasing klotho expression in the brain alleviates the loss of neurons and synapses related to memory in senescence-accelerated mice.389 Similarly, the cognitive benefits of klotho have recently been validated in aged nonhuman primates.252 Furthermore, an extension of the lifespan is observed when the telomerase reverse transcriptase (TERT) gene is overexpressed.390 Overall, the use of antiageing factors increases the treatment efficacy and minimizes adverse responses. Thus, identification of supplementary effective antiageing components in combination therapies is an essential objective for further research.Elimination of pro-ageing moleculesThe removal of circulating pro-ageing factors also holds the potential to revitalize the brain in animal studies.391 Neutralizing antibody treatment or gene editing to lower circulating levels of CCL11 and B2M alleviates neuroinflammation and age-related cognitive decline.320,392 Additionally, vascular cell adhesion molecule 1 (VCAM1) and acid sphingomyelinase (ASM) play a curcial role in destroying the cerebrovascular system,393,394 while cyclophilin A (CyPA) decreases the levels of synapse-related proteins such as the NMDAR subunit NR2B and synaptophysin.395 Reducing the levels of these factors in aged plasma partially mitigates their detrimental effects on young brains. The systemic factors in the blood are classified and summarized in Table 1.Table 1 Systemic ageing-related moleculesFull size tableTargeting ageing-related signalling pathwaysTo date, numerous ageing-regulating pathways, including the IIS, glucagon-like peptide-1 (GLP-1), AMPK, sirtuin, mTOR and NAD+ pathways, have been identified.126,396,397 The expression of the transcription factor C/EBPβ has been found to increase with age, resulting in the activation of AEP (also known as δ-secretase) transcription and ultimately leading to excitatory neurotoxicity and a shortened lifespan.398 This pathway has also been implicated in AD and PD.399,400Drugs that target the above pathways have been confirmed to have antiageing effects.401 AMPK activators and the mTOR signalling pathway inhibitor rapamycin have considerable ramifications for longevity and managing age-related illnesses.58,402,403,404 Metformin, an effective drug, has been shown to improve hallmarks of ageing, such as DNA repair and imbalanced protein homoeostasis.405 Following a metformin intervention spanning up to 3.3 years in middle-aged and elderly cynophagus monkeys, the overall degree of ageing was comprehensively assessed by high-throughput omics techniques. Surprisingly, metformin systematically improves the characteristics and hallmarks of ageing, lowering epigenetic age by up to 6.1 years (frontal lobe). More notably, metformin had a prominent effect on the ageing brain, which was reflected in increasing cognitive resilience and brain reserve, rejuvenation of the transcriptomics of nerve cells, as well as in the autonomous alleviation of neuronal senescence.61 GLP-1 is an incretin hormone that targets insulin signalling to lower sugar levels, and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are widely used to alleviate oxidative stress, chronic inflammation, cellular senescence and apoptosis.406 GLP-1 RAs reverse transcriptomic ageing signatures in multiple major brain cell types, including glial cells and neurovascular cells.407 Intriguingly, a cocktail treatment containing rapamycin, acarbose and phenylbutyrate interferes with multiple antiageing pathways, achieving greater efficacy in delaying ageing in mice.408 Through RNA sequencing, the drug cocktail subsequently downregulates the transcriptomic profiles of three major ageing pathways, namely, the mTOR, IIS and histone deacetylase binding pathways. With effects on these factors, the drug cocktail effectively inhibits biological processes that contribute to ageing, such as DNA damage, inflammation, and cell senescence, while simultaneously promoting a significant increase in autophagy.409Antiageing drugs have favourable effects on neurodegenerative diseases. Age-dependent NAD+ depletion and impaired mitophagy downstream may exacerbate the progression of these diseases. NAD+ augmentation ameliorates both Aβ and p-tau pathologies and neuroinflammation.125 Supplementation with the NAD+ precursor NAM rescues mitochondrial defects and behavioural impairments in AD models410 but suppresses dopaminergic neurodegeneration in a Drosophila PD model.411 Additionally, another NAD+ precursor, NR, improves HD motor and molecular phenotypes, possibly through the activation of SIRT1-PGC-1α and SIRT3-related pathways.412 These pathways are also involved in ALS pathogenesis.413 Likewise, SIRT1 inhibits Aβ production and neuroinflammation and prevents neuronal apoptosis in AD models.414 Correspondingly, the sirtuin family adjusts pathways related to mitochondrial biogenesis and dysfunction, oxidative stress and α-syn aggregation in individuals with PD.415 Unexpectedly, SIRT regulates TDP-43 posttranslational modifications, reducing the aggregation propensity via deacetylation,123 and further in vivo experiments are needed to confirm its effectiveness. Rapamycin may be beneficial in the early stages of AD, but it aggravates AD pathology as the lysosomal degradative capacity of the brain deteriorates.416,417 In PD mice, rapamycin activates autophagy to inhibit ferroptosis, exerting a beneficial effect on behavioural symptoms and the loss of dopaminergic neurons in the substantia nigra pars compacta.418 Due to enhanced autophagy, rapamycin can ameliorate the changes in locomotor performance and reduce HTT aggregation in the brains of Drosophila HD models,419 while rapamycin has also been shown to be neuroprotective in ALS and FTD.420 Previous studies have revealed that AD/PD and type 2 diabetes mellitus share some pathological commonalities, strongly suggesting the role of antidiabetic drugs in treating neurodegenerative diseases,421,422 and the most common high-profile drugs are metformin and GLP-1 RAs. Metformin reduces the burden and toxicity of pathological proteins, including Aβ, p-tau, α-syn and HTT, protects neurons, and enhances cognitive and motor function in multiple animal models.423,424 Notably, metformin also improves behaviour and pathology in ALS/FTD mice.425 In contrast, metformin has adverse effects in some studies. According to multiple preclinical studies, GLP-1 RAs reduce amyloid deposition and glial cell activation and stimulate synaptic neurotransmitter release to induce long-term potentiation (LTP) in AD models.426 However, GLP-1 RAs enhance motor performance and dopamine signalling and inhibit the aggregation of α-syn in PD models, possibly by regulating the Akt pathway.423,427 An inspiring result has shown that a drug cocktail restores cognitive impairment, neuroinflammation, and Aβ aggregation while enhancing autophagy and synaptic integrity in AD mice, especially in females.428 This result highlights the efficacy of multi-target antiageing interventions.Antiageing strategies at the cellular levelSenolytics kill senescent cells precisely and target the SASP to delay or alleviate tissue disorders, with promising prospects for antiageing applications.429 The eradication of senescent cells in pre-ageing mice partially counteracts the age-related functional decline and extends the lifespan by up to 35%.63 The delivery of senolytics in AD mice reduces the Aβ load and the levels of proinflammatory factors, thereby enhancing cognitive funciton.430 Additionally, senolytic and senomorphic secondary metabolites inhibit α-syn aggregation and prolong the healthspan in PD models.431 Despite all the benefits, the utility of senolytics is not undisputed. First, they lack specificity for the targeted elimination of senescent cells. Second, using senolytics too early results in stem cell depletion, accelerating the ageing process, whereas their delayed use may affect their effectiveness. Additionally, controversies exist over which type and how many senescent cells should be removed for optimal efficacy. Ageing is a global process affecting all tissues, organs, and cells within the body. In the context of neurodegenerative diseases, the elimination of senescent cells is not always beneficial. For cell types possessing regenerative capabilities, selectively removing senescent cells (such as microglia) can diminish neuroinflammation levels, thereby serving a neuroprotective function. However, for terminally differentiated cells like neurons, removal of senescent ones may exacerbate ageing phenotypes and neurodegenerative conditions due to the absence of available replacement cells to maintain functionality.Cell transplantation or regeneration has the potential to reverse ageing and decrease susceptibility to neurodegenerative diseases. The administration of muscle-derived stem/progenitor cells from young mice to progeroid mice results in muscle regeneration and a significant lifespan extension.432 In addition, macrophages remove myelin debris to promote myelin regeneration and reverse the age-related dedifferentiation of oligodendrocytes,433 whereas monocyte enrichment increases monocyte infiltration in the brain, resulting in the engulfment of Aβ deposits.434 Furthermore, cotransplantation of midbrain dopaminergic neurons and autologous regulatory T cells into PD rats improves the survival of dopaminergic neurons and motor function.435 Encouragingly, the conversion of astrocytes into neurons via NeuronD1 may compensate for neurodegeneration during ageing and AD.436Despite the potential antiageing effects, stem cell transplantation is hindered by numerous adverse effects that impede its clinical application. These include rejection of allogeneic cells by host immune cells,437 graft-versus-host disease,438 infections resulting from long-term suppression of the immune system, and tumorigenicity.439 Alternatively, extracellular vesicles derived from stem cells offer a more feasible approach for application. Studies have demonstrated that extracellular vesicles derived from adipose mesenchymal stem cells and umbilical cord mesenchymal stem cells can improve a wide range of age-related phenotypes and delay the ageing process in aged mice.440,441,442 Neural stem cell-derived extracellular vesicles (NSC-EVs) are abundant in specific miRNAs which exert favourable effects on slowing down ageing and neurodegenerative diseases.443 NSC-EVs have been shown to inhibit neuroinflammation and ameliorate pathological events and behaviours in AD mice and PD models.444,445 A recent investigation revealed that the administration of extracellular vesicles purified from the plasma of young mice enhanced mitochondrial function, partially restored the proteome, metabolism, and physiological capabilities of multiple organs, resulting in a noteworthy 12.4% increase in the median lifespan of mice.446Antiageing strategies at the systemic levelThe circulatory, immune and endocrine systems, which are tightly interconnected with the entire body, are promising targets for systemic antiageing interventions, which are expected to achieve comprehensive rejuvenation.Rejuvenation of the bloodNumerous animal experiments have shown that young blood prolongs the BA of aged recipients via epigenetic remodelling447 and rejuvenates various organs, including the brain.379,448 The possible mechanisms include the activation of cAMP response element binding protein (CREB) in the hippocampus and canonical neuroprotective mechanisms.449,450 After organ transplantation from old to young individuals, the transplanted organs remain functional after the maximum lifespan of the original donor, indicating the rejuvenation of the aged organs in a young systemic environment.451 Injections of human umbilical cord plasma into elderly individuals reduce the epigenetic age by 0.82 years and improve several clinical parameters, such as creatinine levels and the glomerular filtration rate.452 Blood rejuvenation also has the potential to treat AD. Whole blood replacement mainly lowers soluble Aβ levels in the blood and Aβ deposits in the brains of aged mice and markedly improves spatial memory.453 Blood rejuvenation allows the delivery of a more comprehensive range of antiageing factors, targeting multiple markers of ageing in combination. This approach may lead to greater efficacy, although it requires a sufficient blood supply and potentially causes adverse reactions.Rejuvenation of the systemic immune systemImmunosenescence is a key driver of systemic ageing and could be a valuable target for antiageing interventions. Research suggests that transplantation of young bone marrow plays a positive role in preserving synaptic connections and cognitive manifestations in aged mice,454 increasing the maximum lifespan by 30%.455 Bone marrow-derived microglia are involved in clearing Aβ and have potential for AD therapy.456 A recent study revealed that the transplantation of bone marrow stem cells from young AD mice to old AD mice reversed the expression of ageing-related differentially expressed genes (DEGs), compromised phagocytosis of monocytes, and cognitive impairment.457 Correspondingly, the transplantation of bone marrow from WT mice into HD mice partially alleviates motor deficits, elevates cortical synaptic levels and reduces serum inflammatory factors, including IL-6, IL-10, CXC chemokine ligand 1, and IFN-γ.458However, the clinical use of bone marrow transplantation is limited because of the shortage of young bone marrow donors and rejection after transplantation. As such, a more feasible approach is to rejuvenate the aged gut microbiota. Transplantation of the gut microbiota from young mice to aged mice reverses immunosenescence and neuroinflammation and improves hippocampal neurogenesis, behaviour and cognition.75,459 Additionally, metabolomics and gene regulation patterns in the brains of old mice switch to a young phenotype.75 Strikingly, transplantation of the gut microbiota from wild-type mice to AD mice alleviates the Aβ load, neurofibrillary tangles and glial reactivity.460 Similarly, transplantation of healthy human faecal microbiota protects integrity of the BBB and reduces the entry of gut-derived harmful substances into the brain, thereby alleviating neuroinflammation and neurodegeneration in PD mice.461 Small-scale research has verified the safety and efficacy of faecal microbiota transplantation, as reflected in improvements in motor and nonmotor symptoms in PD patients.462 These studies highlight the importance of rejuvenating the aged immune system for a healthy lifespan and for the treatment of neurodegenerative diseases.Rejuvenation of the endocrine systemGonadotropin-releasing hormone ameliorates neurogenesis and decelerates the ageing process in mice.463 Additionally, oestrogen supplementation in ovariectomized rats is capable of rejuvenating multiple organs by increasing telomerase activity and TERT expression,464 but the utility of oestrogen replacement therapy in the general population is still debatable.465Hormone therapy has achieved some progress in the treatment of neurodegenerative diseases. A GHRH analogue and exogenous insulin-like growth factor-2 (IGF2) are neuroprotective.466 IGF2 stimulates neurogenesis and synaptogenesis and enhances cognition in AD models.467 Moreover, oestrogen signalling is involved in AD pathogenesis. Oestrogen receptor α (ERα) and oestrogen receptor β (ERβ) are widely distributed in the CNS, and their overexpression protects neurons from glutamatergic excitotoxicity and Aβ toxicity.468 Moreover, oestrogen regulates transcription factors related to inflammation and oxidative stress, such as nuclear factor kappa-B (NF-κB) and nuclear factor erythroid 2-related factor 2 (Nrf2), to alleviate neuroinflammation and other AD pathologies.469 In PD models, oestrogen enhances the neuroprotective function of astrocytes, reduces the vulnerability of substantia nigra dopaminergic neurons,470 and improves motor deficits.471Anti-inflammationAgeing is accompanied by long-term chronic low-grade inflammation, namely, inflammageing. Inflammation is implicated in various pathways and processes associated with ageing, including immunosenescence, oxidative stress, metabolic dysregulation, cellular senescence, and other critical events of the ageing process.37 Therefore, modulating the body’s inflammatory balance is expected to increase longevity and reverse or mitigate age-related disease processes.472,473,474 In mouse models of accelerated ageing, inflammation is exacerbated by the overactivation of NF-κB, thereby blocking this pathway and consequently conferring longevity.475 A recent investigation demonstrates that neutralization of the inflammatory cytokine IL-11 ameliorates age-related metabolic disorders, enhances overall physiological function, and extends the average lifespan of mice by 24.9%.476 Nonsteroidal anti-inflammatory drugs (NSAIDs), such as ibuprofen, reduce neuroinflammation and the senescent cell burden, resulting in significant improvements in cognitive function in premature mice.477 Furthermore, aspirin has been confirmed to extend the lifespan of Drosophila melanogaster and mice in a sex-dependent manner.478,479 Additionally, plant extracts, such as resveratrol and ginkgo biloba extract, have been demonstrated to effectively delay the ageing process of animal organs, i.e. the liver and ovarian.480,481Targeting age-related inflammation is beneficial for the management of neurodegenerative diseases.482 NSAIDs are involved in the prevention and treatment of AD by activating peroxisome proliferator-activated receptor gamma (PPARgamma) to reduce the neurotoxicity of microglia and monocytes and astrocyte activation.483 However, NSAIDs have an antagonistic effect on PD that is beneficial through the modulation of neuroinflammation but detrimental through the inhibition of neuroprotective prostacyclin (PGI2) and accentuation of proinflammatory leukotrienes (LTs).484 Furthermore, a meta-analysis indicated that NSAIDs are associated with a decreased risk for the development of ALS.485Antiageing strategies at the individual levelEstimates from basic studies indicate that individuals may delay brain ageing and reduce age through cognitive training, the regulation of circadian rhythms, diet and exercise. An overlap between the mechanisms of these lifestyle factors has been observed. Cognitive training enhances functional connectivity to attenuate the decline in overall memory.486 Time-restricted feeding (TRF), a healthy diet, extends the Drosophila lifespan and delays the onset of ageing markers in the muscles and gut by stimulating circadian-regulated autophagy.487 Normalization of the dysregulated circadian clock may decelerate brain ageing.488 Likewise, CR triples the median and maximal remaining lifespans of progeroid mice, strongly retarding numerous aspects of accelerated ageing. In mice subjected to CR, 50% more neurons and full motor function are retained.489 Additionally, single-cell transcriptome sequencing revealed that long-term exercise significantly reduces the degree of pantissue ageing, remodels the structures and functions of multiple organs and tissues, and enhances cognitive function in aged mice.490In parallel, these beneficial lifestyles are also adapted to confer a cognitive reserve, slow progressive neurodegeneration, and ameliorate pathological events and the phenotypes of neurodegenerative diseases.491 TRF modulates the circadian rhythm to mitigate the Aβ load and impaired hippocampal transcription in AD models.492 Similarly, directly improving circadian rhythms activates various clock-controlled metabolic genes involved in insulin signalling and mitochondrial function and ameliorates Aβ pathology.493 Correspondingly, the management of circadian rhythms improves cognitive function and apathy in HD model mice.494 A disturbed circadian rhythm appears to be a frequent comorbidity of FTLD; thus, addressing sleep disturbances could improve the quality of life of patients.495Additionally, CR induces autophagy to alleviate Aβ and tau pathologies and enhances cognitive function in AD models.496 CR also protects the survival of dopaminergic neurons in the substantia nigra, dopamine metabolism and neurotrophic factors in the striatum of PD animals.497 Similarly, abnormal eating behaviours, such as increased appetite and increased intake of sugar and carbohydrates, are universal in FTLD patients and correlate with atrophy in discrete neural networks,498,499 suggesting that dietary restriction may exert a positive effect.Physical exercise engages a multitude of molecular mechanisms and should be prioritized for the elderly. Research has demonstrated that exercise can reduce inflammation levels, which is a contributing factor to the ageing process.37 High-resolution single-cell transcriptome sequencing has shown that long-term aerobic exercise effectively suppresses inflammation-related pathways and mitigates LPS-induced inflammatory responses across various organs in mice. Additionally, physical exercise plays a crucial role in protecting cardiovascular and respiratory functions,490 enhancing cardiorespiratory fitness by 20 to 40%, thereby correlating with observed reductions in cardiovascular events and all-cause mortality.500 Furthermore, exercise is also associated with the modulation of redox balance, age-related insulin resistance, and improvements in metabolic function.501 Another significant mechanism involves exercise-induced myokines that influence cell survival, neurogenesis, neuroinflammation, protein homoeostasis, oxidative stress, and protein modification.502,503 These beneficial changes underscore the importance of exercise in preventing and slowing the progression of ageing as well as neurodegenerative diseases.504,505,506,507,508 However, much more exploration into personalized, quantitative, and concrete lifestyle parameters, such as the type, duration and intensity of exercise, is needed.Finally, we hypothesize that combining these positive lifestyles could eventually achieve better antiageing effects and manage neurodegenerative diseases.Antiageing strategies for neurodegenerative diseases: clinical trialsThe current clinical trials for neurodegenerative diseases primarily focus on the molecular level in their antiageing strategies, while some studies also explore on the cellular and functional levels (Table 2).Table 2 Clinical trials of the treatment of neurodegenerative diseases with antiageing agentsFull size tableNeuroprotectionThis primarily encompasses: (1) Anti-inflammation or immune regulatory (including antibacterial or antiviral). The ageing process is characterised by an intensification of the inflammatory response and immunosenescence. The restoration of the body’s inflammatory balance, the regulation the response to endogenous and exogenous antigens of immune system could alleviate inflammation and the phenotype of neurodegenerative diseases, thereby promoting healthy ageing.37 For example, long-term, large-scale population trials on nonsteroidal anti-inflammatory drugs (NSAIDs) for AD treatment have shown that ibuprofen may have a protective effect on AD,509 while other NSAIDs seemingly do not.510 Ibuprofen has also been shown to reduce the brain age in elderly individuals by approximately one year.511 Antiviral drugs such as valacyclovir and some antibiotics are explored for AD treatment.512 (2) Antioxidant effects. The generation and elimination of free radicals are maintained in s dynamic equilibrium, which is essential for countering internal and external stimuli and preserving body’s internal environment homoeostasis. However, the oxidative stress during ageing process results in the destruction of the structure and function of intracellular macromolecules and organelles, resulting in cellular damage. Antioxidants mitigate oxidative reactions, protect cells from oxidative stress, and exhibit beneficial effects on neurodegeneration.513 Furthermore, antioxidants delay the ageing process of various organs/systems in elderly individuals, including the skin, ovaries, immune system, circulatory system, and brain.514 Drugs such as PYC857 are being studied for their antioxidant and anti-inflammatory effects on treating ALS. (3) Mitochondrial function regulation. Mitochondrial dysfunction arises a consequence of genomic instability, calcium ion overload, imbalanced redox reactions, dysregulation of mitochondrial turnover, and nutrient sensing pathways during the ageing process. Conversely, mitochondrial dysfunction can give rise to various ageing phenotypes through oxidative stress, activation of innate immunity, and cell apoptosis. Interventions targeting mitochondrial dysfunction have the potential to delay the process of ageing and neurodegenerative diseases.515,516 Nilotinib, proven to improve mitochondrial function,517 and clinical trials have been initiated to explore its application in PD.518,519Metabolic and nutritional regulationThe metabolism of glucose, lipids, proteins and vitamins in the body supplies energy and nutrients to the organism while maintaining physiological function. However, this process is disrupted during ageing, subsequently leading to the development of neurodegenerative diseases. Nutrient sensing networks sever as the fundamental mediator of cellular activities, and targeting these networks could potentially regulate the growth, development, and ageing process of organisms. Consequently, this offers a promising avenue for intervention in diseases.85 Moreover, drugs that target glucose and lipid metabolism, vitamins and other nutrients also exhibit neuroprotective functions, such as anti-inflammatory and antioxidant effects (e.g., the anti-inflammatory function of statins). These drugs include those targeting glucose metabolism, such as rapamycin, insulin, metformin, and GLP-1 RAs, for treatment of AD and PD.520,521 For example, a study randomized 38 AD patients to receive liraglutide or placebo and reported that liraglutide reversed AD-related glucose transporter dysfunction.522 Another single-blind, phase 2 trial evaluated exenatide, which improved motor deficits in PD patients for more than 12 months.523 Although the relationship between metformin and AD is contradictory, several clinical studies suggest that long-term metformin therapy is associated with a lower risk of neurodegenerative diseases.524,525 The first human clinical trial of NMN was conducted in 2021; NMN was administered to 25 older women, and the results revealed significant improvements in the muscle repair and regeneration capacity.60 Additionally, a phase 2 clinical trial in which a combination of metabolic activators (L-serine, N-acetyl cysteine, nicotinamide riboside, and L-carnitine tartrate) was used reported improved AD-related metabolic parameters and an approximately 20% increase in cognitive performance, although these benefits were not observed during the follow-up period.526 Additionally, vitamins or their derivatives, such as benfotiamine, as well as nutritional supplements, such as fish oil and caffeine, are also studied for AD treatment.527,528Hormone supplementation or regulationVarious hormones are closely linked to maintaining the normal function of the central nervous system. Hormonal dysregulation during ageing process impacts brain metabolism, synaptic plasticity, and cognitive function. It has been demonstrated that regulating hormone levels appropriately to adapt to age-related changes is advantageous in delaying age-related diseases.349 Clinical research on this mechanism shows promise. Age-related hormone disorders, such as a significant decrease in oestrogen levels in postmenopausal women, are associated with neurodegenerative diseases. Clinical studies on hormone supplementation include treatments such as allopregnanolone and isoflavones for AD.529,530,531 Other hormone-related treatments include GHRH supplementation in healthy elderly individuals and patients with mild cognitive impairment, and this treatment has favourable effects on cognition and metabolism.532 Previous studies have associated growth hormone administration for one year with an average reduction in BA of 2.5 years, as assessed by four epigenetic clocks.533Molecular replacement trialsThe plasma of young individuals contains numerous antiageing factors that exert neuroprotective effects, such as anti-inflammatory and neurotrophic properties. Increasing the levels of these antiageing factors while replacing pro-ageing factors in older plasma through procedures like plasma exchange or young plasma infusion contribute to brain rejuvenation and the delay of neurodegenerative diseases.201 Therapeutic plasma exchange significantly rejuvenates the proteome and improves cognition in AD patients.534,535 AD patients who received four weekly infusions of young fresh frozen plasma showed promising outcomes, supporting further exploration of long-term plasma therapy.73Synaptic modulation and neural repairDuring the process of ageing, impaired synaptic plasticity plays a significant role in neural ageing and age-related cognitive decline. By specifically targeting the deficits in impaired synaptic plasticity and directly modulating neuronal functions, it is possible to alleviate the phenotypes associated with ageing and neurodegenerative disease.536 Drugs such as CT1812 and simufilam are explored for AD treatment. Simufilam targets the altered form of filamin A, a scaffolding protein involved in several signalling pathways implicated in AD. By correcting altered filamin A levels, simufilam restores normal receptor signalling at synapses, improves synaptic function, reduces neuroinflammation, enhances synaptic integrity, and promotes cognitive function. CT1812 is a small molecule that displaces Aβ oligomers from synapses. These oligomers are toxic and disrupt synaptic function. By displacing them, CT1812 aims to restore normal synaptic function, potentially improving cognitive ability and slowing AD progression. CT1812 also reduces inflammation and promotes synaptic health, contributing to neural repair and cognitive restoration.Elimination of senescent cellsCell senescence represents a pivotal event in the ageing process, whereby senescent cells secrete SASP to accelerate ageing of other cells and tissues. The elimination of senescent cells has been observed to mitigate ageing associated events, such as inflammation, stem cell exhaustion, and mitochondrial dysfunction.537 Additionally, clinical trials of senolytics, which selectively eliminate senescent cells and the SASP, have been conducted in patients with ageing-related diseases. Dasatinib plus quercetin (DQ) has been confirmed to improve physical dysfunction in 14 patients with idiopathic pulmonary fibrosis (IPF).64 Nevertheless, the roles of senolytics in neurodegenerative diseases need to be further validated. Inspiringly, a small-scale phase 1 clinical trial has shown that senolytics are safe, feasible and well tolerated in AD patients, and related phase 2 clinical trials are ongoing.80Lifestyle interventionsAgeing is a progressive decline of body’s function, whereas cognitive and behavioural training, exercise (such as dancing), and regulation of sleep and diet enhance overall physiological functioning by bolstering the body’s resilience to internal and external stimuli, promoting recovery in both the body and CNS, thereby ameliorating neurodegeneration.538 These therapies promote the rejuvenation of the body and central nervous system, ameliorating neurodegenerative diseases. (1) Physical training. Aerobic exercise reverses the age-related brain volume loss and physiological parameters in older adults.539,540,541 Moreover, aerobic exercise has been extensively researched for its role in improving cognition in AD patients and motor function in PD patients.542,543,544,545 (2) Sleep and diet. Regular sleep has been found to reduce the BA by up to 4.1 years.546 Inspiringly, first, from the Comprehensive Assessment of Long-term Effects of Reducing the Intake of Energy (CALERIE) trial, CR slows ageing in healthy adults by 2–3%, as measured by a DNA methylation biomarker for the pace of ageing calculated from the epigenome (DunedinPACE).547 CR also reduces the BA by 0.4 years.548 In addition, consuming a healthy diet, such as the Mediterranean-DASH (MIND) or Mediterranean diet, reduces age-related cognitive decline and decreases BA.549 Autopsy evidence indicates that MIND and Mediterranean diets are associated with less postmortem AD pathology, primarily a lower Aβ load.550 As expected, in a brief clinical trial, a multimodal intervention strategy combining diet, exercise and sleep resulted in an average reversal of the epigenetic age by 3.2 years.551As mentioned above, antiageing treatments targeting different levels and mechanisms have become a hot topic in clinical research for neurodegenerative diseases. Some therapies have already proven effective, whereas others are actively being investigated. We eagerly anticipate the results of these ongoing studies and look forward to advancing further comprehensive treatments. In particular, the combination of antiageing therapies with monoclonal antibodies targeting pathological proteins holds promise for opening new avenues in the intervention of neurodegenerative diseases.The primary objective of a comprehensive antiageing strategy is to halt or decelerate the progression of neurodegenerative diseases. Nevertheless, the current technological landscape can only achieve a limited degree of prevention by delaying or palliating the phenotypic manifestations associated with ageing and neurodegenerative disorders. Among various antiageing strategies, numerous studies have demonstrated their ability to delay or alleviate the hallmarks, pathological events, and physiological deficits linked to ageing and neurodegeneration in both animal models and patients with neurodegenerative diseases. Furthermore, additional antiageing strategies, such as anti-inflammatory medications and an active lifestyle (including a healthy diet, exercise, etc.), have also been shown to exert preventive effects by reducing the incidence of neurodegenerative diseases.We present a synthesis of preclinical studies and clinical trials in holistic antiageing, which have significantly enhanced our understanding of the interplay between antiageing strategies and neurodegenerative diseases. However, numerous issues and challenges warrant further exploration. Firstly, these studies indicate the potential for delaying ageing or even partially reversing ageing-related phenotypes and disease manifestations. Nevertheless, the magnitude and duration of these effects require further investigation through long-term follow-up. Secondly, individual heterogeneity necessitates a comprehensive understanding of the underlying factors that influence antiageing outcomes across different individuals, including age, personality traits, comorbidities, lifestyle habits, education level, among others. Thirdly, while most studies have focused on the positive effects of these interventions, they often downplay side effects and adverse reactions, an aspect crucial for future clinical applications. Consequently, substantial work remains to be done in advancing future antiageing research. It is imperative to identify safe, effective targets for long-term antiageing interventions in neurodegenerative diseases. Additionally, it is vital to facilitating the transition from molecular mechanism investigations and animal models to clinical practice is vital.Conclusions and perspectivesWith ageing, the body’s adaptive responses to stimuli decline and become insufficient to maintain dynamic homoeostasis, resulting in accumulation of pathogenic proteins (Aβ, hyperphosphorylated tau, α-syn and TDP-43) and neurodegeneration, further causing motor dysfunction and dementia. The integrated systems perspective aims to take a fresh look at the pathogenesis and treatment of neurodegenerative diseases: the development of neurodegenerative diseases is not necessarily traceable to a discrete molecular or cellular process but rather to the collapse of the interactions among many processes within and across organizational scales. These findings also provide novel perspectives on and opportunities for neurodegenerative disease research. Future studies on mechanisms should focus on finding upstream pathways for homoeostatic imbalances (pathogenic protein aggregation, neuronal degeneration and dysfunction of the organism) at different levels. Additionally, this theory may have implications for the diagnosis and early warning of neurodegenerative diseases. According to the ‘stimulus‒response’ model, intensifying the stimulus disrupts the balance, and the potential phenotype subsequently emerges. For example, the purpose of the exercise stress test is to increase the cardiac workload through a specific amount of physical activity, leading to electrocardiographic alterations in individuals with asymptomatic cardiovascular disease. For neurodegenerative diseases, a complex and multifactorial disease, restoring the body’s adaptability to stimuli and its ability to maintain homoeostasis may be more effective than simply removing pathological proteins. This change could be achieved by targeting multiple key nodes that have intervention effects on the whole system.Current studies on the antiageing effects and prevention and treatment of neurodegenerative diseases are mostly conducted in artificially induced animal models, which differ from real changes in the human body. For example, many AD-related studies have been conducted in the classic APP/PS1 mouse model, to which the pathogenic gene causing familial AD has been transferred, subsequently inducing pathological events such as Aβ and hyperphosphorylated tau deposition. However, familial AD accounts for less than 5% of all cases of AD in patients. Therefore, APP/PS1 mice cannot imitate the pathogenesis of sporadic AD well, which is not conducive to subsequent research on mechanisms and treatments. Furthermore, these animal models may underestimate the contributions of peripheral and brain ageing to neurodegenerative diseases by inducing specific pathogenic events of neurodegenerative diseases through direct transgenization. Furthermore, the lifespan of mice, Drosophila, and nematodes is inadequate for accurately modelling the prolonged and gradual process of human ageing. Antiageing therapies should be validated in longer-lived species, such as non-human primates and naked mole rats. In these organisms, the molecular and functional changes associated with ageing that accumulate over time more closely resemble the human ageing phenotype, thereby providing a suitable foundation for research on ageing mechanisms and subsequent antiageing strategies. Therefore, the identification of more suitable animal models is urgently needed to simulate the process of neurodegenerative diseases during ageing.As mentioned above, a potential disconnect exists between the healthspan and lifespan. A longer lifespan does not necessarily translate into a longer healthspan; in contrast, it may increase the burden of age-related neurodegenerative diseases. This finding suggests that the primary endpoint of research into the underlying mechanisms of rejuvenation should focus on health-related body parameters (e.g., liver function, renal function, metabolism and markers of ageing) rather than the mere lifespan. In addition, epidemiological studies should shift from traditional indicators (e.g., incidence and mortality) to DALYs, comprehensively and objectively evaluating the effectiveness of antiageing treatments in reducing the burden of neurodegenerative diseases and improving quality of life.Ageing is a physiological process that progresses continuously. Throughout the ageing process, damage accumulates in the body as a result of its responses to internal and external changes, ultimately leading to dysfunction, chronic diseases, and death. The current objectives of antiageing research primarily focus on preventing, delaying, or mitigating the effects of ageing across all bodily systems; thus aiming to prevent the onset or delay the progression of neurodegenerative diseases. However, with advancements in antiageing research, targeting ageing for both prevention and treatment of neurodegenerative diseases will become increasingly feasible, ultimately enhancing healthy lifespan and overall quality of life. Despite the remarkable progress made in antiageing research, no single drug or approach is capable of exerting a comprehensive antiageing effect on humans. A multifaceted antiageing approach in which multiple targets at the same and different levels are intervented is recommended. For example, the combination of antiageing factors, drugs and an active lifestyle could be an effective strategy; however, the optimal combinations with minimal side effects remain to be determined. Consequently, this combination of antiageing modalities could be employed to prevent or delay the onset of neurodegenerative diseases, but further clinical trials are needed to substantiate this finding.In conclusion, antiageing or rejuvenation interventions should be a critical step in combination with interventions targeting disease-specific events and comorbidities of neurodegenerative diseases; this strategy is promising for neurodegenerative disease therapy, and the implementation of comprehensive antiageing strategies that address the entire system is anticipated to yield enhanced efficacy. The future should prioritize efforts towards exploring methodologies for achieving comprehensive system rejuvenation, addressing disease-specific events and comorbidities associated with neurodegenerative diseases, and effectively translating these approaches into clinical practice.

ReferencesDrake, J. C. & Yan, Z. Targeting healthspan to optimally combat non-communicable disease in an aging world. Sports Med Health Sci. 1, 59–60 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol. 23, 344–381 (2024).Gauthier, S. Rosa-Neto, P. Morais, J. A. & Webster, C. World Alzheimer Report 2021: Journey through the diagnosis of dementia. Alzheimer's Disease International. https://www.alzint.org/resource/world-alzheimer-report-2021/ (2021).Garre-Olmo, J. Epidemiology of Alzheimer’s disease and other dementias. Rev. Neurol. 66, 377–386 (2018).CAS 

PubMed 

Google Scholar 

2024 Alzheimer’s disease facts and figures. Alzheimers Dement. 20, 3708–3821 (2024).Jia, J. et al. The cost of Alzheimer’s disease in China and re-estimation of costs worldwide. Alzheimers Dement 14, 483–491 (2018).Article 

PubMed 

Google Scholar 

Yang, W. et al. Current and projected future economic burden of Parkinson’s disease in the U.S. NPJ Parkinsons Dis. 6, 15 (2020).Article 

PubMed 

PubMed Central 

Google Scholar 

Rodríguez-Santana, I. et al. Economic burden of Huntington disease in Europe and the USA: Results from the Huntington’s Disease Burden of Illness study. Eur. J. Neurol. 30, 1109–1117 (2023).Article 

PubMed 

Google Scholar 

Foltynie, T. et al. Medical, surgical, and physical treatments for Parkinson’s disease. Lancet 403, 305–324 (2024).Article 

PubMed 

Google Scholar 

Ghosh, R. & Tabrizi, S. J. Clinical Features of Huntington’s Disease. Adv. Exp. Med. Biol. 1049, 1–28 (2018).Article 

CAS 

PubMed 

Google Scholar 

Neylan, K. D. & Miller, B. L. New Approaches to the Treatment of Frontotemporal Dementia. Neurotherapeutics 20, 1055–1065 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Luo, S., Rabbani, Q. & Crone, N. E. Brain-Computer Interface: Applications to Speech Decoding and Synthesis to Augment Communication. Neurotherapeutics 19, 263–273 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Pirasteh, A., Shamseini Ghiyasvand, M. & Pouladian, M. EEG-based brain-computer interface methods with the aim of rehabilitating advanced stage ALS patients. Disabil. Rehabil. Assist. Technol. 19, 3183–3193 (2024).Article 

PubMed 

Google Scholar 

Tabrizi, S. J., Ghosh, R. & Leavitt, B. R. Huntingtin Lowering Strategies for Disease Modification in Huntington’s Disease. Neuron 101, 801–819 (2019).Article 

CAS 

PubMed 

Google Scholar 

Jucker, M. & Walker, L. C. Alzheimer’s disease: From immunotherapy to immunoprevention. Cell 186, 4260–4270 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

van Dyck, C. H. et al. Lecanemab in Early Alzheimer’s Disease. N. Engl. J. Med. 388, 9–21 (2023).Article 

PubMed 

Google Scholar 

Tagliapietra, M. Aducanumab for the treatment of Alzheimer’s disease. Drugs Today 58, 465–477 (2022).Rashad, A. et al. Donanemab for Alzheimer’s Disease: A Systematic Review of Clinical Trials. Healthcare. 11, 32 (2022).Zhang, R., Chen, H. Z. & Liu, D. P. The Four Layers of Aging. Cell Syst. 1, 180–186 (2015).Article 

CAS 

PubMed 

Google Scholar 

Hy, L. X. & Keller, D. M. Prevalence of AD among whites: a summary by levels of severity. Neurology 55, 198–204 (2000).Article 

CAS 

PubMed 

Google Scholar 

2022 Alzheimer’s disease facts and figures. Alzheimers Dement. 18, 700–789, (2022).Ben-Shlomo, Y. et al. The epidemiology of Parkinson’s disease. Lancet 403, 283–292 (2024).Article 

PubMed 

PubMed Central 

Google Scholar 

Pringsheim, T., Jette, N., Frolkis, A. & Steeves, T. D. The prevalence of Parkinson’s disease: a systematic review and meta-analysis. Mov. Disord. 29, 1583–1590 (2014).Article 

PubMed 

Google Scholar 

Mehta, P. et al. Prevalence of amyotrophic lateral sclerosis (ALS), United States, 2016. Amyotroph. Lateral Scler. Frontotemporal Degener. 23, 220–225 (2022).Article 

PubMed 

Google Scholar 

Wilson, D., Le Heron, C. & Anderson, T. Corticobasal syndrome: a practical guide. Pr. Neurol. 21, 276–285 (2021).Article 

Google Scholar 

Wegmann, S. et al. Experimental evidence for the age dependence of tau protein spread in the brain. Sci. Adv. 5, eaaw6404 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Seltman, R. E. & Matthews, B. R. Frontotemporal lobar degeneration: epidemiology, pathology, diagnosis and management. CNS Drugs 26, 841–870 (2012).Article 

CAS 

PubMed 

Google Scholar 

Logroscino, G. et al. Incidence of Syndromes Associated With Frontotemporal Lobar Degeneration in 9 European Countries. JAMA Neurol. 80, 279–286 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Squitieri, F. et al. Epidemiology of Huntington disease: first post-HTT gene analysis of prevalence in Italy. Clin. Genet 89, 367–370 (2016).Article 

CAS 

PubMed 

Google Scholar 

Selkoe, D. J. & Hardy, J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol. Med 8, 595–608 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Arnsten, A. F. T., Datta, D., Del Tredici, K. & Braak, H. Hypothesis: Tau pathology is an initiating factor in sporadic Alzheimer’s disease. Alzheimers Dement 17, 115–124 (2021).Article 

CAS 

PubMed 

Google Scholar 

Rudge, J. D. A New Hypothesis for Alzheimer’s Disease: The Lipid Invasion Model. J. Alzheimers Dis. Rep. 6, 129–161 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Kuehn, B. M. In Alzheimer Research, Glucose Metabolism Moves to Center Stage. JAMA 323, 297–299 (2020).Article 

PubMed 

Google Scholar 

Leng, F. & Edison, P. Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here? Nat. Rev. Neurol. 17, 157–172 (2021).Article 

PubMed 

Google Scholar 

Markesbery, W. R. Oxidative stress hypothesis in Alzheimer’s disease. Free Radic. Biol. Med. 23, 134–147 (1997).Article 

CAS 

PubMed 

Google Scholar 

Craig, L. A., Hong, N. S. & McDonald, R. J. Revisiting the cholinergic hypothesis in the development of Alzheimer’s disease. Neurosci. Biobehav. Rev. 35, 1397–1409 (2011).Article 

CAS 

PubMed 

Google Scholar 

Li, X. et al. Inflammation and aging: signaling pathways and intervention therapies. Signal Transduct. Target Ther. 8, 239 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Schliebs, R. & Arendt, T. The cholinergic system in aging and neuronal degeneration. Behav. Brain Res. 221, 555–563 (2011).Article 

CAS 

PubMed 

Google Scholar 

McCay, C. M., Maynard, L. A., Sperling, G. & Barnes, L. L. The Journal of Nutrition. Volume 18 July–December, 1939. Pages 1–13. Retarded growth, life span, ultimate body size and age changes in the albino rat after feeding diets restricted in calories. Nutr. Rev. 33, 241–243 (1975).Article 

CAS 

PubMed 

Google Scholar 

Colman, R. J. et al. Caloric restriction delays disease onset and mortality in rhesus monkeys. Science 325, 201–204 (2009).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Bowles, J. Shattered: Medawar’s test tubes and their enduring legacy of chaos. Med. Hypotheses 54, 326–339 (2000).Article 

CAS 

PubMed 

Google Scholar 

Harman, D. Origin and evolution of the free radical theory of aging: a brief personal history, 1954–2009. Biogerontology 10, 773–781 (2009).Article 

CAS 

PubMed 

Google Scholar 

Harman, D. Free-radical theory of aging. Increasing the functional life span. Ann. N. Y. Acad. Sci. 717, 1–15 (1994).Article 

CAS 

PubMed 

Google Scholar 

Rose, M. & Charlesworth, B. A test of evolutionary theories of senescence. Nature 287, 141–142 (1980).Article 

CAS 

PubMed 

Google Scholar 

Shay, J. W. & Wright, W. E. Hayflick, his limit, and cellular ageing. Nat. Rev. Mol. Cell Biol. 1, 72–76 (2000).Article 

CAS 

PubMed 

Google Scholar 

Walford, R. L. The immunologic theory of aging. Gerontologist 4, 195–197 (1964).Article 

CAS 

PubMed 

Google Scholar 

Olovnikov, A. M. A theory of marginotomy. The incomplete copying of template margin in enzymic synthesis of polynucleotides and biological significance of the phenomenon. J. Theor. Biol. 41, 181–190 (1973).Article 

CAS 

PubMed 

Google Scholar 

Franceschi, C. et al. Inflamm-aging. An evolutionary perspective on immunosenescence. Ann. N. Y. Acad. Sci. 908, 244–254 (2000).Article 

CAS 

PubMed 

Google Scholar 

Warner, H. R. et al. Program for testing biological interventions to promote healthy aging. Mech. Ageing Dev. 115, 199–207 (2000).Article 

CAS 

PubMed 

Google Scholar 

Liu, X. et al. Resurrection of endogenous retroviruses during aging reinforces senescence. Cell 186, 287–304.e226 (2023).Article 

CAS 

PubMed 

Google Scholar 

Friedman, D. B. & Johnson, T. E. A mutation in the age-1 gene in Caenorhabditis elegans lengthens life and reduces hermaphrodite fertility. Genetics 118, 75–86 (1988).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kenyon, C. et al. A C. elegans mutant that lives twice as long as wild type. Nature 366, 461–464 (1993).Article 

CAS 

PubMed 

Google Scholar 

Martin-Montalvo, A. et al. Metformin improves healthspan and lifespan in mice. Nat. Commun. 4, 2192 (2013).Article 

PubMed 

Google Scholar 

Kennedy, B. K., Austriaco, N. R. Jr., Zhang, J. & Guarente, L. Mutation in the silencing gene SIR4 can delay aging in S. cerevisiae. Cell 80, 485–496 (1995).Article 

CAS 

PubMed 

Google Scholar 

Haigis, M. C. & Sinclair, D. A. Mammalian sirtuins: biological insights and disease relevance. Annu Rev. Pathol. 5, 253–295 (2010).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Howitz, K. T. et al. Small molecule activators of sirtuins extend Saccharomyces cerevisiae lifespan. Nature 425, 191–196 (2003).Article 

CAS 

PubMed 

Google Scholar 

Kapahi, P. et al. Regulation of lifespan in Drosophila by modulation of genes in the TOR signaling pathway. Curr. Biol. 14, 885–890 (2004).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Harrison, D. E. et al. Rapamycin fed late in life extends lifespan in genetically heterogeneous mice. Nature 460, 392–395 (2009).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wood, J. G. et al. Sirtuin activators mimic caloric restriction and delay ageing in metazoans. Nature 430, 686–689 (2004).Article 

CAS 

PubMed 

Google Scholar 

Yoshino, M. et al. Nicotinamide mononucleotide increases muscle insulin sensitivity in prediabetic women. Science 372, 1224–1229 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Yang, Y. et al. Metformin decelerates aging clock in male monkeys. Cell 187, 6358–6378.e6329 (2024).Article 

CAS 

PubMed 

Google Scholar 

Coppé, J. P. et al. Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor. PLoS Biol. 6, 2853–2868 (2008).Article 

PubMed 

Google Scholar 

Baker, D. J. et al. Naturally occurring p16(Ink4a)-positive cells shorten healthy lifespan. Nature 530, 184–189 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Justice, J. N. et al. Senolytics in idiopathic pulmonary fibrosis: Results from a first-in-human, open-label, pilot study. EBioMedicine 40, 554–563 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Tauchi, H. & Hasegawa, K. Change of the hepatic cells in parabiosis between old and young rats. Mech. Ageing Dev. 6, 333–339 (1977).Article 

CAS 

PubMed 

Google Scholar 

Conboy, I. M. et al. Rejuvenation of aged progenitor cells by exposure to a young systemic environment. Nature 433, 760–764 (2005).Article 

CAS 

PubMed 

Google Scholar 

Jalavisto, E. The biologic age and life expectancy. Duodecim. Suppl. 68, 1–12 (1952).CAS 

PubMed 

Google Scholar 

Bocklandt, S. et al. Epigenetic predictor of age. PLoS One 6, e14821 (2011).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Menni, C. et al. Metabolomic markers reveal novel pathways of ageing and early development in human populations. Int. J. Epidemiol. 42, 1111–1119 (2013).Article 

PubMed 

PubMed Central 

Google Scholar 

Peters, M. J. et al. The transcriptional landscape of age in human peripheral blood. Nat. Commun. 6, 8570 (2015).Article 

CAS 

PubMed 

Google Scholar 

Horvath, S. & Raj, K. DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat. Rev. Genet 19, 371–384 (2018).Article 

CAS 

PubMed 

Google Scholar 

Katsimpardi, L. et al. Vascular and neurogenic rejuvenation of the aging mouse brain by young systemic factors. Science 344, 630–634 (2014).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Sha, S. J. et al. Safety, Tolerability, and Feasibility of Young Plasma Infusion in the Plasma for Alzheimer Symptom Amelioration Study: A Randomized Clinical Trial. JAMA Neurol. 76, 35–40 (2019).Article 

PubMed 

Google Scholar 

Parker, J. E. et al. Safety of Plasma Infusions in Parkinson’s Disease. Mov. Disord. 35, 1905–1913 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Boehme, M. et al. Microbiota from young mice counteracts selective age-associated behavioral deficits. Nat. Aging 1, 666–676 (2021).Article 

PubMed 

Google Scholar 

Chen, X. et al. Preliminary evidence for developing safe and efficient fecal microbiota transplantation as potential treatment for aged related cognitive impairments. Front. Cell Infect. Microbiol. 13, 1103189 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Huang, H. et al. Fecal microbiota transplantation to treat Parkinson’s disease with constipation: A case report. Medicine 98, e16163 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Ogrodnik, M. et al. Whole-body senescent cell clearance alleviates age-related brain inflammation and cognitive impairment in mice. Aging Cell 20, e13296 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gonzales, M. M. et al. Senolytic Therapy to Modulate the Progression of Alzheimer’s Disease (SToMP-AD): A Pilot Clinical Trial. J. Prev. Alzheimers Dis. 9, 22–29 (2022).Article 

CAS 

PubMed 

Google Scholar 

Gonzales, M. M. et al. Senolytic therapy in mild Alzheimer’s disease: a phase 1 feasibility trial. Nat. Med. 29, 2481–2488 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

He, X. et al. Single-cell omics in ageing: a young and growing field. Nat. Metab. 2, 293–302 (2020).Article 

PubMed 

Google Scholar 

Trachana, K. et al. Taking Systems Medicine to Heart. Circ. Res. 122, 1276–1289 (2018).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Cohen, A. A. et al. A complex systems approach to aging biology. Nat. Aging 2, 580–591 (2022).Article 

PubMed 

Google Scholar 

López-Otín, C. & Kroemer, G. Hallmarks of Health. Cell. 184, 33–63 (2021).López-Otín, C. et al. Hallmarks of aging: An expanding universe. Cell 186, 243–278 (2023).Article 

PubMed 

Google Scholar 

Shen, X. et al. Nonlinear dynamics of multi-omics profiles during human aging. Nat. Aging 4, 1619–1634 (2024).Article 

PubMed 

PubMed Central 

Google Scholar 

Hardy, J. A. & Higgins, G. A. Alzheimer’s disease: the amyloid cascade hypothesis. Science 256, 184–185 (1992).Article 

CAS 

PubMed 

Google Scholar 

Liang, S. Y., Wang, Z. T., Tan, L. & Yu, J. T. Tau Toxicity in Neurodegeneration. Mol. Neurobiol. 59, 3617–3634 (2022).Article 

CAS 

PubMed 

Google Scholar 

Jeong, S. Molecular and Cellular Basis of Neurodegeneration in Alzheimer’s Disease. Mol. Cells 40, 613–620 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Han, X. et al. Astrocyte Senescence and Alzheimer’s Disease: A Review. Front. Aging Neurosci. 12, 148 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Praschberger, R. et al. Neuronal identity defines α-synuclein and tau toxicity. Neuron 111, 1577–1590.e1511 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Panicker, N. et al. Neuronal NLRP3 is a parkin substrate that drives neurodegeneration in Parkinson’s disease. Neuron 110, 2422–2437.e2429 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kiernan, M. C. et al. Amyotrophic lateral sclerosis. Lancet 377, 942–955 (2011).Article 

CAS 

PubMed 

Google Scholar 

Grossman, M. et al. Frontotemporal lobar degeneration. Nat. Rev. Dis. Prim. 9, 40 (2023).Article 

PubMed 

Google Scholar 

Chen, H. et al. Exploring the genetics and non-cell autonomous mechanisms underlying ALS/FTLD. Cell Death Differ. 25, 648–662 (2018).Article 

CAS 

PubMed 

Google Scholar 

Walker, F. O. Huntington’s disease. Lancet 369, 218–228 (2007).Article 

CAS 

PubMed 

Google Scholar 

Šonský, I., Vodicka, P., Vodicková Kepková, K. & Hansíková, H. Mitophagy in Huntington’s disease. Neurochem. Int. 149, 105147 (2021).Article 

PubMed 

Google Scholar 

Jimenez-Sanchez, M., Licitra, F., Underwood, B. R. & Rubinsztein, D. C. Huntington’s Disease: Mechanisms of Pathogenesis and Therapeutic Strategies. Cold Spring Harb. Perspect. Med. 7, a024240 (2017).Mattson, M. P. & Arumugam, T. V. Hallmarks of Brain Aging: Adaptive and Pathological Modification by Metabolic States. Cell Metab. 27, 1176–1199 (2018).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lee, J. & Kim, H. J. Normal Aging Induces Changes in the Brain and Neurodegeneration Progress: Review of the Structural, Biochemical, Metabolic, Cellular, and Molecular Changes. Front. Aging Neurosci. 14, 931536 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Ionescu-Tucker, A. & Cotman, C. W. Emerging roles of oxidative stress in brain aging and Alzheimer’s disease. Neurobiol. Aging 107, 86–95 (2021).Article 

CAS 

PubMed 

Google Scholar 

Schumacher, B., Pothof, J., Vijg, J. & Hoeijmakers, J. H. J. The central role of DNA damage in the ageing process. Nature 592, 695–703 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Bacon, E. R. & Brinton, R. D. Epigenetics of the developing and aging brain: Mechanisms that regulate onset and outcomes of brain reorganization. Neurosci. Biobehav. Rev. 125, 503–516 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Graves, A. J. et al. Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults. Sci. Rep. 14, 9646 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhang, W., Xiao, D., Mao, Q. & Xia, H. Role of neuroinflammation in neurodegeneration development. Signal Transduct. Target Ther. 8, 267 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Lauri, A., Pompilio, G. & Capogrossi, M. C. The mitochondrial genome in aging and senescence. Ageing Res. Rev. 18, 1–15 (2014).Article 

CAS 

PubMed 

Google Scholar 

Roca-Bayerri, C. et al. Mitochondrial DNA Damage and Brain Aging in Human Immunodeficiency Virus. Clin. Infect. Dis. 73, e466–e473 (2021).Article 

CAS 

PubMed 

Google Scholar 

Crary, J. F. et al. Primary age-related tauopathy (PART): a common pathology associated with human aging. Acta Neuropathol. 128, 755–766 (2014).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Nelson, P. T. et al. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain 142, 1503–1527 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Kenyon, C. The first long-lived mutants: discovery of the insulin/IGF-1 pathway for ageing. Philos. Trans. R. Soc. Lond. B Biol. Sci. 366, 9–16 (2011).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Puglielli, L. Aging of the brain, neurotrophin signaling, and Alzheimer’s disease: is IGF1-R the common culprit? Neurobiol. Aging 29, 795–811 (2008).Article 

CAS 

PubMed 

Google Scholar 

Lewitt, M. S. & Boyd, G. W. Role of the Insulin-like Growth Factor System in Neurodegenerative Disease. Int. J. Mol. Sci. 25, 4512 (2024).Aleman, A. & Torres-Alemán, I. Circulating insulin-like growth factor I and cognitive function: neuromodulation throughout the lifespan. Prog. Neurobiol. 89, 256–265 (2009).Article 

CAS 

PubMed 

Google Scholar 

Pharaoh, G. et al. Disparate Central and Peripheral Effects of Circulating IGF-1 Deficiency on Tissue Mitochondrial Function. Mol. Neurobiol. 57, 1317–1331 (2020).Article 

CAS 

PubMed 

Google Scholar 

Zegarra-Valdivia, J. A. et al. Reduced Insulin-Like Growth Factor-I Effects in the Basal Forebrain of Aging Mouse. Front. Aging Neurosci. 13, 682388 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Liu, G. Y. & Sabatini, D. M. mTOR at the nexus of nutrition, growth, ageing and disease. Nat. Rev. Mol. Cell Biol. 21, 183–203 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Mannick, J. B. & Lamming, D. W. Targeting the biology of aging with mTOR inhibitors. Nat. Aging 3, 642–660 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Caccamo, A. et al. Molecular interplay between mammalian target of rapamycin (mTOR), amyloid-beta, and Tau: effects on cognitive impairments. J. Biol. Chem. 285, 13107–13120 (2010).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wu, Q. J. et al. The sirtuin family in health and disease. Signal Transduct. Target Ther. 7, 402 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wang, R. et al. Deciphering therapeutic options for neurodegenerative diseases: insights from SIRT1. J. Mol. Med. 100, 537–553 (2022).Article 

CAS 

PubMed 

Google Scholar 

Basova, L. V. et al. Age-associated changes in microglia activation and Sirtuin-1- chromatin binding patterns. Aging 14, 8205–8220 (2022).CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhang, F. et al. Protective effects and mechanisms of sirtuins in the nervous system. Prog. Neurobiol. 95, 373–395 (2011).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Garcia Morato, J. et al. Sirtuin-1 sensitive lysine-136 acetylation drives phase separation and pathological aggregation of TDP-43. Nat. Commun. 13, 1223 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Peixoto, C. A., Oliveira, W. H., Araújo, S. & Nunes, A. K. S. AMPK activation: Role in the signaling pathways of neuroinflammation and neurodegeneration. Exp. Neurol. 298, 31–41 (2017).Article 

CAS 

PubMed 

Google Scholar 

Lautrup, S., Sinclair, D. A., Mattson, M. P. & Fang, E. F. NAD(+) in Brain Aging and Neurodegenerative Disorders. Cell Metab. 30, 630–655 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Chen, C., Zhou, M., Ge, Y. & Wang, X. SIRT1 and aging related signaling pathways. Mech. Ageing Dev. 187, 111215 (2020).Article 

CAS 

PubMed 

Google Scholar 

Dickstein, D. L., Weaver, C. M., Luebke, J. I. & Hof, P. R. Dendritic spine changes associated with normal aging. Neuroscience 251, 21–32 (2013).Article 

CAS 

PubMed 

Google Scholar 

Mizoguchi, Y. et al. Lower brain-derived neurotrophic factor levels are associated with age-related memory impairment in community-dwelling older adults: the Sefuri study. Sci. Rep. 10, 16442 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Camandola, S. & Mattson, M. P. Brain metabolism in health, aging, and neurodegeneration. EMBO J. 36, 1474–1492 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Baker, D. J. & Petersen, R. C. Cellular senescence in brain aging and neurodegenerative diseases: evidence and perspectives. J. Clin. Invest 128, 1208–1216 (2018).Article 

PubMed 

PubMed Central 

Google Scholar 

Flanary, B. E. et al. Evidence that aging and amyloid promote microglial cell senescence. Rejuvenation Res. 10, 61–74 (2007).Article 

CAS 

PubMed 

Google Scholar 

Tremblay, M. et al. Effects of aging and sensory loss on glial cells in mouse visual and auditory cortices. Glia 60, 541–558 (2012).Article 

PubMed 

PubMed Central 

Google Scholar 

Schuitemaker, A. et al. Microglial activation in healthy aging. Neurobiol. Aging 33, 1067–1072 (2012).Article 

CAS 

PubMed 

Google Scholar 

Damani, M. R. et al. Age-related alterations in the dynamic behavior of microglia. Aging Cell 10, 263–276 (2011).Article 

CAS 

PubMed 

Google Scholar 

Wendimu, M. Y. & Hooks, S. B. Microglia Phenotypes in Aging and Neurodegenerative Diseases. Cells. 11, 2091 (2022).Keren-Shaul, H. et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease. Cell 169, 1276–1290.e1217 (2017).Article 

CAS 

PubMed 

Google Scholar 

Mrdjen, D. et al. High-Dimensional Single-Cell Mapping of Central Nervous System Immune Cells Reveals Distinct Myeloid Subsets in Health, Aging, and Disease. Immunity 48, 380–395.e386 (2018).Article 

CAS 

PubMed 

Google Scholar 

Galatro, T. F. et al. Transcriptomic analysis of purified human cortical microglia reveals age-associated changes. Nat. Neurosci. 20, 1162–1171 (2017).Article 

CAS 

PubMed 

Google Scholar 

Yanguas-Casás, N., Crespo-Castrillo, A., Arevalo, M. A. & Garcia-Segura, L. M. Aging and sex: Impact on microglia phagocytosis. Aging Cell 19, e13182 (2020).Article 

PubMed 

PubMed Central 

Google Scholar 

Soreq, L. et al. Major Shifts in Glial Regional Identity Are a Transcriptional Hallmark of Human Brain Aging. Cell Rep. 18, 557–570 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lawal, O., Ulloa Severino, F. P. & Eroglu, C. The role of astrocyte structural plasticity in regulating neural circuit function and behavior. Glia 70, 1467–1483 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Tomita, K. I. et al. Changes in telomere length with aging in human neurons and glial cells revealed by quantitative fluorescence in situ hybridization analysis. Geriatr. Gerontol. Int. 18, 1507–1512 (2018).Article 

PubMed 

Google Scholar 

Pertusa, M. et al. Astrocytes aged in vitro show a decreased neuroprotective capacity. J. Neurochem. 101, 794–805 (2007).Article 

CAS 

PubMed 

Google Scholar 

Miranda, C. J. et al. Aging brain microenvironment decreases hippocampal neurogenesis through Wnt-mediated survivin signaling. Aging Cell 11, 542–552 (2012).Article 

PubMed 

Google Scholar 

Liddelow, S. A. et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541, 481–487 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Clarke, L. E. et al. Normal aging induces A1-like astrocyte reactivity. Proc. Natl Acad. Sci. USA 115, E1896–e1905 (2018).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Tse, K. H. & Herrup, K. DNA damage in the oligodendrocyte lineage and its role in brain aging. Mech. Ageing Dev. 161, 37–50 (2017).Article 

CAS 

PubMed 

Google Scholar 

Wang, F. et al. Myelin degeneration and diminished myelin renewal contribute to age-related deficits in memory. Nat. Neurosci. 23, 481–486 (2020).Article 

PubMed 

PubMed Central 

Google Scholar 

Graves, S. I. & Baker, D. J. Implicating endothelial cell senescence to dysfunction in the ageing and diseased brain. Basic Clin. Pharm. Toxicol. 127, 102–110 (2020).Article 

CAS 

Google Scholar 

Ceafalan, L. C. et al. Age-related ultrastructural changes of the basement membrane in the mouse blood-brain barrier. J. Cell Mol. Med. 23, 819–827 (2019).Article 

CAS 

PubMed 

Google Scholar 

Geng, J. et al. Blood-Brain Barrier Disruption Induced Cognitive Impairment Is Associated With Increase of Inflammatory Cytokine. Front. Aging Neurosci. 10, 129 (2018).Article 

PubMed 

PubMed Central 

Google Scholar 

Bony, B. A. et al. Claudin-1-Targeted Nanoparticles for Delivery to Aging-Induced Alterations in the Blood-Brain Barrier. ACS Nano 15, 18520–18531 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Knox, E. G. et al. The blood-brain barrier in aging and neurodegeneration. Mol. Psychiatry 27, 2659–2673 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Montagne, A. et al. Blood-brain barrier breakdown in the aging human hippocampus. Neuron 85, 296–302 (2015).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Iliff, J. J. et al. A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci. Transl. Med. 4, 147ra111 (2012).Article 

PubMed 

PubMed Central 

Google Scholar 

Montagne, A. et al. APOE4 leads to blood-brain barrier dysfunction predicting cognitive decline. Nature 581, 71–76 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kress, B. T. et al. Impairment of paravascular clearance pathways in the aging brain. Ann. Neurol. 76, 845–861 (2014).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Safaiyan, S. et al. Age-related myelin degradation burdens the clearance function of microglia during aging. Nat. Neurosci. 19, 995–998 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

MacDonald, M. E. et al. Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction. Neurobiol. Aging 95, 131–142 (2020).Article 

PubMed 

Google Scholar 

Guo, H. et al. MRI assessment of whole-brain structural changes in aging. Clin. Inter. Aging 12, 1251–1270 (2017).Article 

CAS 

Google Scholar 

Chung, H. K., Tymula, A. & Glimcher, P. The Reduction of Ventrolateral Prefrontal Cortex Gray Matter Volume Correlates with Loss of Economic Rationality in Aging. J. Neurosci. 37, 12068–12077 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Habes, M. et al. The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans. Alzheimers Dement 17, 89–102 (2021).Article 

CAS 

PubMed 

Google Scholar 

Bennett, I. J. et al. Age-related white matter integrity differences in oldest-old without dementia. Neurobiol. Aging 56, 108–114 (2017).Article 

PubMed 

PubMed Central 

Google Scholar 

Tomasi, D. & Volkow, N. D. Aging and functional brain networks. Mol. Psychiatry 17, 549–458 (2012).Article 

Google Scholar 

Chong, H. R. et al. Functional alterations of the prefrontal circuit underlying cognitive aging in mice. Nat. Commun. 14, 7254 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Bagarinao, E. et al. Reorganization of brain networks and its association with general cognitive performance over the adult lifespan. Sci. Rep. 9, 11352 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Shafer, A. T. et al. Default mode network connectivity and cognition in the aging brain: the effects of age, sex, and APOE genotype. Neurobiol. Aging 104, 10–23 (2021).Article 

PubMed 

Google Scholar 

Ankudowich, E., Pasvanis, S. & Rajah, M. N. Age-related differences in prefrontal-hippocampal connectivity are associated with reduced spatial context memory. Psychol. Aging 34, 251–261 (2019).Article 

PubMed 

Google Scholar 

Watanabe, H. et al. Characteristics of Neural Network Changes in Normal Aging and Early Dementia. Front Aging Neurosci. 13, 747359 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Taylor, W. D. et al. Influences of dopaminergic system dysfunction on late-life depression. Mol. Psychiatry 27, 180–191 (2022).Article 

PubMed 

Google Scholar 

Li, H. et al. Trajectories of age-related cognitive decline and potential associated factors of cognitive function in senior citizens of Beijing. Curr. Alzheimer Res. 11, 806–816 (2014).Article 

CAS 

PubMed 

Google Scholar 

Quandt, F. et al. Spectral Variability in the Aged Brain during Fine Motor Control. Front. Aging Neurosci. 8, 305 (2016).Article 

PubMed 

PubMed Central 

Google Scholar 

Volkert, J. et al. The prevalence of mental disorders in older people in Western countries - a meta-analysis. Ageing Res. Rev. 12, 339–353 (2013).Article 

PubMed 

Google Scholar 

Prenderville, J. A., Kennedy, P. J., Dinan, T. G. & Cryan, J. F. Adding fuel to the fire: the impact of stress on the ageing brain. Trends Neurosci. 38, 13–25 (2015).Article 

CAS 

PubMed 

Google Scholar 

Aging Biomarker, C. et al. A framework of biomarkers for brain aging: a consensus statement by the Aging Biomarker Consortium. Life Med. 2, lnad017 (2023).Burrinha, T. & Guimas Almeida, C. Aging impact on amyloid precursor protein neuronal trafficking. Curr. Opin. Neurobiol. 73, 102524 (2022).Article 

CAS 

PubMed 

Google Scholar 

Nalivaeva, N. N. & Turner, A. J. Role of Ageing and Oxidative Stress in Regulation of Amyloid-Degrading Enzymes and Development of Neurodegeneration. Curr. Aging Sci. 10, 32–40 (2017).Article 

CAS 

PubMed 

Google Scholar 

Angelova, D. M. & Brown, D. R. Microglia and the aging brain: are senescent microglia the key to neurodegeneration? J. Neurochem. 151, 676–688 (2019).Article 

CAS 

PubMed 

Google Scholar 

Preininger, M. K. & Kaufer, D. Blood-Brain Barrier Dysfunction and Astrocyte Senescence as Reciprocal Drivers of Neuropathology in Aging. Int. J. Mol. Sci. 23, 6217 (2022).Depp, C. et al. Myelin dysfunction drives amyloid-β deposition in models of Alzheimer’s disease. Nature 618, 349–357 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kurz, C., Walker, L., Rauchmann, B. S. & Perneczky, R. Dysfunction of the blood-brain barrier in Alzheimer’s disease: Evidence from human studies. Neuropathol. Appl Neurobiol. 48, e12782 (2022).Article 

CAS 

PubMed 

Google Scholar 

Dai, Z. et al. The aging of glymphatic system in human brain and its correlation with brain charts and neuropsychological functioning. Cereb. Cortex 33, 7896–7903 (2023).Article 

PubMed 

Google Scholar 

Kapasi, A., DeCarli, C. & Schneider, J. A. Impact of multiple pathologies on the threshold for clinically overt dementia. Acta Neuropathol. 134, 171–186 (2017).Article 

PubMed 

PubMed Central 

Google Scholar 

Schapira, A. H. et al. Mitochondrial complex I deficiency in Parkinson’s disease. J. Neurochem. 54, 823–827 (1990).Article 

CAS 

PubMed 

Google Scholar 

Cornelissen, T. et al. Deficiency of parkin and PINK1 impairs age-dependent mitophagy in Drosophila. Elife. 7, e35878 (2018).Bonello, F. et al. LRRK2 impairs PINK1/Parkin-dependent mitophagy via its kinase activity: pathologic insights into Parkinson’s disease. Hum. Mol. Genet. 28, 1645–1660 (2019).Article 

CAS 

PubMed 

Google Scholar 

Ordonez, D. G., Lee, M. K. & Feany, M. B. α-synuclein Induces Mitochondrial Dysfunction through Spectrin and the Actin Cytoskeleton. Neuron 97, 108–124.e106 (2018).Article 

CAS 

PubMed 

Google Scholar 

Zampese, E. & Surmeier, D. J. Calcium, Bioenergetics, and Parkinson’s Disease. Cells. 9, 2045 (2020).Sanchez-Contreras, M. et al. The multi-tissue landscape of somatic mtDNA mutations indicates tissue-specific accumulation and removal in aging. Elife. 12, e83395 (2023).Picca, A. et al. Mitophagy in human health, ageing and disease. Nat. Metab. 5, 2047–2061 (2023).Article 

PubMed 

Google Scholar 

Wolfson, C., Gauvin, D. E., Ishola, F. & Oskoui, M. Global Prevalence and Incidence of Amyotrophic Lateral Sclerosis: A Systematic Review. Neurology 101, e613–e623 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Kim, G. et al. ALS Genetics: Gains, Losses, and Implications for Future Therapies. Neuron 108, 822–842 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Malik, I., Kelley, C. P., Wang, E. T. & Todd, P. K. Molecular mechanisms underlying nucleotide repeat expansion disorders. Nat. Rev. Mol. Cell Biol. 22, 589–607 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Coleman, M. P. Axon Biology in ALS: Mechanisms of Axon Degeneration and Prospects for Therapy. Neurotherapeutics 19, 1133–1144 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Hogan, D. B. et al. The Prevalence and Incidence of Frontotemporal Dementia: a Systematic Review. Can. J. Neurol. Sci. 43, S96–s109 (2016).Article 

PubMed 

Google Scholar 

Peng, W., Minakaki, G., Nguyen, M. & Krainc, D. Preserving Lysosomal Function in the Aging Brain: Insights from Neurodegeneration. Neurotherapeutics 16, 611–634 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Uchino, A. et al. Incidence and extent of TDP-43 accumulation in aging human brain. Acta Neuropathol. Commun. 3, 35 (2015).Article 

PubMed 

PubMed Central 

Google Scholar 

Sirkis, D. W., Bonham, L. W., Karch, C. M. & Yokoyama, J. S. Immunological signatures in frontotemporal lobar degeneration. Curr. Opin. Neurol. 32, 272–278 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Medina, A., Mahjoub, Y., Shaver, L. & Pringsheim, T. Prevalence and Incidence of Huntington’s Disease: An Updated Systematic Review and Meta-Analysis. Mov. Disord. 37, 2327–2335 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Lee, H. et al. Cell Type-Specific Transcriptomics Reveals that Mutant Huntingtin Leads to Mitochondrial RNA Release and Neuronal Innate Immune Activation. Neuron 107, 891–908.e898 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Bieri, G., Schroer, A. B. & Villeda, S. A. Blood-to-brain communication in aging and rejuvenation. Nat. Neurosci. 26, 379–393 (2023).Article 

CAS 

PubMed 

Google Scholar 

Schaum, N. et al. Ageing hallmarks exhibit organ-specific temporal signatures. Nature 583, 596–602 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Xing, C. Y. et al. Distribution of cardiac output to the brain across the adult lifespan. J. Cereb. Blood Flow. Metab. 37, 2848–2856 (2017).Article 

PubMed 

Google Scholar 

Paneni, F. et al. The Aging Cardiovascular System: Understanding It at the Cellular and Clinical Levels. J. Am. Coll. Cardiol. 69, 1952–1967 (2017).Article 

PubMed 

Google Scholar 

van der Velpen, I. F., Yancy, C. W., Sorond, F. A. & Sabayan, B. Impaired Cardiac Function and Cognitive Brain Aging. Can. J. Cardiol. 33, 1587–1596 (2017).Article 

PubMed 

Google Scholar 

Chadda, K. R. et al. Ageing, the autonomic nervous system and arrhythmia: From brain to heart. Ageing Res. Rev. 48, 40–50 (2018).Article 

PubMed 

Google Scholar 

Tian, Y. E. et al. Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality. Nat. Med. 29, 1221–1231 (2023).Article 

CAS 

PubMed 

Google Scholar 

Jin, W. S. et al. Reduced Cardiovascular Functions in Patients with Alzheimer’s Disease. J. Alzheimers Dis. 58, 919–925 (2017).Article 

CAS 

PubMed 

Google Scholar 

Stefani, A. et al. CSF biomarkers, impairment of cerebral hemodynamics and degree of cognitive decline in Alzheimer’s and mixed dementia. J. Neurol. Sci. 283, 109–115 (2009).Article 

CAS 

PubMed 

Google Scholar 

Zhao, Y. & Gong, C. X. From chronic cerebral hypoperfusion to Alzheimer-like brain pathology and neurodegeneration. Cell Mol. Neurobiol. 35, 101–110 (2015).Article 

CAS 

PubMed 

Google Scholar 

Cai, Z. et al. Chronic Cerebral Hypoperfusion Promotes Amyloid-Beta Pathogenesis via Activating β/γ-Secretases. Neurochem. Res. 42, 3446–3455 (2017).Article 

CAS 

PubMed 

Google Scholar 

Tublin, J. M. et al. Getting to the Heart of Alzheimer Disease. Circ. Res. 124, 142–149 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Bounhoure, J. P. Cardiac insufficiency with normal systolic function. Physiopathology and therapeutic implications. Ann. Cardiol. Angeiol. 46, 473–478 (1997).CAS 

Google Scholar 

Palma, J. A. et al. Is cardiac function impaired in premotor Parkinson’s disease? A retrospective cohort study. Mov. Disord. 28, 591–596 (2013).Article 

PubMed 

Google Scholar 

Kobal, J., Meglic, B., Mesec, A. & Peterlin, B. Early sympathetic hyperactivity in Huntington’s disease. Eur. J. Neurol. 11, 842–848 (2004).Article 

CAS 

PubMed 

Google Scholar 

Schwarz, K. G. et al. Autonomic nervous system dysfunction throughout menopausal transition: A potential mechanism underpinning cardiovascular and cognitive alterations during female ageing. J. Physiol. 602, 263–280 (2024).Article 

CAS 

PubMed 

Google Scholar 

Gonçalves, V. C. et al. Heart Matters: Cardiac Dysfunction and Other Autonomic Changes in Parkinson’s Disease. Neuroscientist 28, 530–542 (2022).Article 

PubMed 

Google Scholar 

Ahmed, R. M. et al. Energy expenditure in frontotemporal dementia: a behavioural and imaging study. Brain 140, 171–183 (2017).Article 

PubMed 

Google Scholar 

Dong, M. H., Bettencourt, R., Barrett-Connor, E. & Loomba, R. Alanine aminotransferase decreases with age: the Rancho Bernardo Study. PLoS One 5, e14254 (2010).Article 

PubMed 

PubMed Central 

Google Scholar 

Baboota, R. K. et al. BMP4 and Gremlin 1 regulate hepatic cell senescence during clinical progression of NAFLD/NASH. Nat. Metab. 4, 1007–1021 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Weinstein, G. et al. Association of Nonalcoholic Fatty Liver Disease With Lower Brain Volume in Healthy Middle-aged Adults in the Framingham Study. JAMA Neurol. 75, 97–104 (2018).Article 

PubMed 

Google Scholar 

Yu, Y. et al. Fibroblast growth factor 21 protects mouse brain against D-galactose induced aging via suppression of oxidative stress response and advanced glycation end products formation. Pharm. Biochem. Behav. 133, 122–131 (2015).Article 

CAS 

Google Scholar 

Horowitz, A. M. et al. Blood factors transfer beneficial effects of exercise on neurogenesis and cognition to the aged brain. Science 369, 167–173 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Hill, C. M. et al. FGF21 is required for protein restriction to extend lifespan and improve metabolic health in male mice. Nat. Commun. 13, 1897 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Jayakumar, A. R. & Norenberg, M. D. Hyperammonemia in Hepatic Encephalopathy. J. Clin. Exp. Hepatol. 8, 272–280 (2018).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Ghiso, J. et al. Systemic catabolism of Alzheimer’s Abeta40 and Abeta42. J. Biol. Chem. 279, 45897–45908 (2004).Article 

CAS 

PubMed 

Google Scholar 

Cheng, Y. et al. Physiological β-amyloid clearance by the liver and its therapeutic potential for Alzheimer’s disease. Acta Neuropathol. 145, 717–731 (2023).Article 

CAS 

PubMed 

Google Scholar 

Bassendine, M. F. et al. Is Alzheimer’s Disease a Liver Disease of the Brain? J. Alzheimers Dis. 75, 1–14 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Tamaki, C. et al. Major involvement of low-density lipoprotein receptor-related protein 1 in the clearance of plasma free amyloid beta-peptide by the liver. Pharm. Res. 23, 1407–1416 (2006).Article 

CAS 

PubMed 

Google Scholar 

Wu, Y. et al. Hepatic soluble epoxide hydrolase activity regulates cerebral Aβ metabolism and the pathogenesis of Alzheimer’s disease in mice. Neuron 111, 2847–2862.e2810 (2023).Article 

CAS 

PubMed 

Google Scholar 

Reyes, J. F. et al. Accumulation of alpha-synuclein within the liver, potential role in the clearance of brain pathology associated with Parkinson’s disease. Acta Neuropathol. Commun. 9, 46 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Chiang, M. C. et al. Dysregulation of C/EBPalpha by mutant Huntingtin causes the urea cycle deficiency in Huntington’s disease. Hum. Mol. Genet. 16, 483–498 (2007).Article 

CAS 

PubMed 

Google Scholar 

Needham, B. D., Kaddurah-Daouk, R. & Mazmanian, S. K. Gut microbial molecules in behavioural and neurodegenerative conditions. Nat. Rev. Neurosci. 21, 717–731 (2020).Article 

CAS 

PubMed 

Google Scholar 

Ghosh, T. S., Shanahan, F. & O’Toole, P. W. The gut microbiome as a modulator of healthy ageing. Nat. Rev. Gastroenterol. Hepatol. 19, 565–584 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Li, Y. et al. Age-related shifts in gut microbiota contribute to cognitive decline in aged rats. Aging 12, 7801–7817 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kesika, P., Suganthy, N., Sivamaruthi, B. S. & Chaiyasut, C. Role of gut-brain axis, gut microbial composition, and probiotic intervention in Alzheimer’s disease. Life Sci. 264, 118627 (2021).Article 

CAS 

PubMed 

Google Scholar 

Sun, M. et al. A Review of the Brain-Gut-Microbiome Axis and the Potential Role of Microbiota in Alzheimer’s Disease. J. Alzheimers Dis. 73, 849–865 (2020).Article 

PubMed 

Google Scholar 

Erickson, M. A. et al. Lipopolysaccharide impairs amyloid β efflux from brain: altered vascular sequestration, cerebrospinal fluid reabsorption, peripheral clearance and transporter function at the blood-brain barrier. J. Neuroinflammation 9, 150 (2012).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kim, C. et al. Exposure to bacterial endotoxin generates a distinct strain of α-synuclein fibril. Sci. Rep. 6, 30891 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Braak, H. et al. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol. Aging 24, 197–211 (2003).Article 

PubMed 

Google Scholar 

Kim, S. et al. Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease. Neuron 103, 627–641.e627 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Ullah, R., Dawson, V. L. & Dawson, T. M. A new Perspective on Parkinson’s disease: exploring the involvement of intestine and vagus lysates in α-synucleinopathy propagation. Ageing Neurodegenerative Dis. 3, 5 (2023).Article 

CAS 

Google Scholar 

Correia, A. S., Patel, P., Dutta, K. & Julien, J. P. Inflammation Induces TDP-43 Mislocalization and Aggregation. PLoS One 10, e0140248 (2015).Article 

PubMed 

PubMed Central 

Google Scholar 

Chen, C. et al. Gut inflammation triggers C/EBPβ/δ-secretase-dependent gut-to-brain propagation of Aβ and Tau fibrils in Alzheimer’s disease. EMBO J. 40, e106320 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Chen, G. et al. UNC5C Receptor Proteolytic Cleavage by Active AEP Promotes Dopaminergic Neuronal Degeneration in Parkinson’s Disease. Adv. Sci. 9, e2103396 (2022).Article 

Google Scholar 

Mou, Y. et al. Gut Microbiota Interact With the Brain Through Systemic Chronic Inflammation: Implications on Neuroinflammation, Neurodegeneration, and Aging. Front. Immunol. 13, 796288 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Hong, D. et al. Modulation of the gut-brain axis via the gut microbiota: a new era in treatment of amyotrophic lateral sclerosis. Front. Neurol. 14, 1133546 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Chidambaram, S. B. et al. Gut dysbiosis, defective autophagy and altered immune responses in neurodegenerative diseases: Tales of a vicious cycle. Pharm. Ther. 231, 107988 (2022).Article 

CAS 

Google Scholar 

Tanaka, S. & Okusa, M. D. Crosstalk between the nervous system and the kidney. Kidney Int. 97, 466–476 (2020).Article 

PubMed 

Google Scholar 

Denic, A., Rule, A. D. & Glassock, R. J. Healthy and unhealthy aging on kidney structure and function: human studies. Curr. Opin. Nephrol. Hypertens. 31, 228–234 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Leon, J. et al. Peripheral Elevation of a Klotho Fragment Enhances Brain Function and Resilience in Young, Aging, and α-Synuclein Transgenic Mice. Cell Rep. 20, 1360–1371 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Castner, S. A. et al. Longevity factor klotho enhances cognition in aged nonhuman primates. Nat. Aging 3, 931–937 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Oh, H. S. et al. Organ aging signatures in the plasma proteome track health and disease. Nature 624, 164–172 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Liu, Y. H. et al. Association Between Serum Amyloid-Beta and Renal Functions: Implications for Roles of Kidney in Amyloid-Beta Clearance. Mol. Neurobiol. 52, 115–119 (2015).Article 

CAS 

PubMed 

Google Scholar 

Tian, D. Y. et al. Physiological clearance of amyloid-beta by the kidney and its therapeutic potential for Alzheimer’s disease. Mol. Psychiatry 26, 6074–6082 (2021).Article 

CAS 

PubMed 

Google Scholar 

Sakai, K. et al. Patients that have Undergone Hemodialysis Exhibit Lower Amyloid Deposition in the Brain: Evidence Supporting a Therapeutic Strategy for Alzheimer’s Disease by Removal of Blood Amyloid. J. Alzheimers Dis. 51, 997–1002 (2016).Article 

CAS 

PubMed 

Google Scholar 

Viggiano, D. et al. Mechanisms of cognitive dysfunction in CKD. Nat. Rev. Nephrol. 16, 452–469 (2020).Article 

PubMed 

Google Scholar 

Jang, I. A. et al. Effects of Resveratrol on the Renin-Angiotensin System in the Aging Kidney. Nutrients. 10, 1741 (2018).Meléndez-Flores, J. D. & Estrada-Bellmann, I. Linking chronic kidney disease and Parkinson’s disease: a literature review. Metab. Brain Dis. 36, 1–12 (2021).Article 

PubMed 

Google Scholar 

García-Río, F. et al. Spirometric reference equations for European females and males aged 65-85 yrs. Eur. Respir. J. 24, 397–405 (2004).Article 

PubMed 

Google Scholar 

Brandenberger, C. & Mühlfeld, C. Mechanisms of lung aging. Cell Tissue Res. 367, 469–480 (2017).Article 

CAS 

PubMed 

Google Scholar 

Frenzel, S. et al. Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis. J. Alzheimers Dis. 90, 1073–1083 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wang, J. et al. Poor pulmonary function is associated with mild cognitive impairment, its progression to dementia, and brain pathologies: A community-based cohort study. Alzheimers Dement 18, 2551–2559 (2022).Article 

PubMed 

Google Scholar 

March-Diaz, R. et al. Hypoxia compromises the mitochondrial metabolism of Alzheimer’s disease microglia via HIF1. Nat. Aging 1, 385–399 (2021).Article 

PubMed 

Google Scholar 

Mitroshina, E. V. & Vedunova, M. V. The Role of Oxygen Homeostasis and the HIF-1 Factor in the Development of Neurodegeneration. Int. J. Mol. Sci. 25, 4581 (2024).Muzambi, R. et al. Assessment of common infections and incident dementia using UK primary and secondary care data: a historical cohort study. Lancet Healthy Longev. 2, e426–e435 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Sipilä, P. N. et al. Hospital-treated infectious diseases and the risk of dementia: a large, multicohort, observational study with a replication cohort. Lancet Infect. Dis. 21, 1557–1567 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Patrick, K. L., Bell, S. L., Weindel, C. G. & Watson, R. O. Exploring the “Multiple-Hit Hypothesis” of Neurodegenerative Disease: Bacterial Infection Comes Up to Bat. Front. Cell Infect. Microbiol. 9, 138 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Smeyne, R. J. et al. Infection and Risk of Parkinson’s Disease. J. Parkinsons Dis. 11, 31–43 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Tao, W. et al. Re-detectable positive SARS-CoV-2 RNA tests in patients who recovered from COVID-19 with intestinal infection. Protein Cell 12, 230–235 (2021).Article 

CAS 

PubMed 

Google Scholar 

Meinhardt, J. et al. Olfactory transmucosal SARS-CoV-2 invasion as a port of central nervous system entry in individuals with COVID-19. Nat. Neurosci. 24, 168–175 (2021).Article 

CAS 

PubMed 

Google Scholar 

Xu, J. et al. The Role of the Gastrointestinal System in Neuroinvasion by SARS-CoV-2. Front. Neurosci. 15, 694446 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Bulfamante, G. et al. Brainstem neuropathology in two cases of COVID-19: SARS-CoV-2 trafficking between brain and lung. J. Neurol. 268, 4486–4491 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Dey, J. et al. Neuroinvasion of SARS-CoV-2 may play a role in the breakdown of the respiratory center of the brain. J. Med. Virol. 93, 1296–1303 (2021).Article 

CAS 

PubMed 

Google Scholar 

COVID-19 Stats: COVID-19 Incidence,* by Age Group(†) - United States, March 1-November 14, 2020(§). MMWR Morb. Mortal. Wkly Rep. 69, 1664, (2021).Chen, Y. et al. Aging in COVID-19: Vulnerability, immunity and intervention. Ageing Res. Rev. 65, 101205 (2021).Article 

CAS 

PubMed 

Google Scholar 

Schmitt, C. A. et al. COVID-19 and cellular senescence. Nat. Rev. Immunol. 23, 251–263 (2023).Article 

CAS 

PubMed 

Google Scholar 

Ziff, O. J. et al. Amyloid processing in COVID-19-associated neurological syndromes. J. Neurochem. 161, 146–157 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Martínez-Mármol, R. et al. SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity. Sci. Adv. 9, eadg2248 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Piekut, T. et al. Infectious agents and Alzheimer’s disease. J. Integr. Neurosci. 21, 73 (2022).Article 

PubMed 

Google Scholar 

Mysiris, D. S. et al. Post-COVID-19 Parkinsonism and Parkinson’s Disease Pathogenesis: The Exosomal Cargo Hypothesis. Int. J. Mol. Sci. 23, 9739 (2022).Liu, Y. H. et al. One-Year Trajectory of Cognitive Changes in Older Survivors of COVID-19 in Wuhan, China: A Longitudinal Cohort Study. JAMA Neurol. 79, 509–517 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Liu, Y. H. et al. Tracking cognitive trajectories in older survivors of COVID-19 up to 2.5 years post-infection. Nat. Aging 4, 1186–1193 (2024).Article 

PubMed 

Google Scholar 

Hampshire, A. et al. Cognition and Memory after Covid-19 in a Large Community Sample. N. Engl. J. Med. 390, 806–818 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Cilia, R. et al. Effects of COVID-19 on Parkinson’s Disease Clinical Features: A Community-Based Case-Control Study. Mov. Disord. 35, 1287–1292 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Brown, E. G. et al. The Effect of the COVID-19 Pandemic on People with Parkinson’s Disease. J. Parkinsons Dis. 10, 1365–1377 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lourenco, M. V. et al. Exercise-linked FNDC5/irisin rescues synaptic plasticity and memory defects in Alzheimer’s models. Nat. Med. 25, 165–175 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Sánchez, B., Muñoz-Pinto, M. F. & Cano, M. Irisin enhances longevity by boosting SIRT1, AMPK, autophagy and telomerase. Expert Rev. Mol. Med. 25, e4 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Arosio, B. et al. Sarcopenia and Cognitive Decline in Older Adults: Targeting the Muscle-Brain Axis. Nutrients. 15, 1853 (2023).Demontis, F., Piccirillo, R., Goldberg, A. L. & Perrimon, N. The influence of skeletal muscle on systemic aging and lifespan. Aging Cell 12, 943–949 (2013).Article 

CAS 

PubMed 

Google Scholar 

Beeri, M. S. et al. Sarcopenia is associated with incident Alzheimer’s dementia, mild cognitive impairment, and cognitive decline. J. Am. Geriatr. Soc. 69, 1826–1835 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Kuo, Y. M. et al. Elevated abeta42 in skeletal muscle of Alzheimer disease patients suggests peripheral alterations of AbetaPP metabolism. Am. J. Pathol. 156, 797–805 (2000).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Cappello, V. & Francolini, M. Neuromuscular Junction Dismantling in Amyotrophic Lateral Sclerosis. Int. J. Mol. Sci. 18, 2092 (2017).Turner, C., Cooper, J. M. & Schapira, A. H. Clinical correlates of mitochondrial function in Huntington’s disease muscle. Mov. Disord. 22, 1715–1721 (2007).Article 

PubMed 

Google Scholar 

Zheng, X. Q. et al. Targeting aging with the healthy skeletal system: The endocrine role of bone. Rev. Endocr. Metab. Disord. 24, 695–711 (2023).Article 

PubMed 

Google Scholar 

Bae, I. S. et al. Association between bone mineral density and brain parenchymal atrophy and ventricular enlargement in healthy individuals. Aging 11, 8217–8238 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kwon, M. J. et al. The Occurrence of Alzheimer’s Disease and Parkinson’s Disease in Individuals With Osteoporosis: A Longitudinal Follow-Up Study Using a National Health Screening Database in Korea. Front. Aging Neurosci. 13, 786337 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Park, K. Y. et al. Bone Mineral Density and the Risk of Parkinson’s Disease in Postmenopausal Women. Mov. Disord. 38, 1606–1614 (2023).Article 

CAS 

PubMed 

Google Scholar 

Goodman, A. O. & Barker, R. A. Body composition in premanifest Huntington’s disease reveals lower bone density compared to controls. PLoS Curr. 3, Rrn1214 (2011).Article 

PubMed 

PubMed Central 

Google Scholar 

Shin, J. Y. et al. Mesenchymal stem cells enhance autophagy and increase β-amyloid clearance in Alzheimer disease models. Autophagy 10, 32–44 (2014).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Liu, Z. T. et al. Crosstalk between bone and brain in Alzheimer’s disease: Mechanisms, applications, and perspectives. Alzheimers Dement 20, 5720–5739 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Shan, C. et al. Osteocalcin ameliorates cognitive dysfunctions in a mouse model of Alzheimer’s Disease by reducing amyloid β burden and upregulating glycolysis in neuroglia. Cell Death Discov. 9, 46 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Hou, Y. F. et al. Gut microbiota-derived propionate mediates the neuroprotective effect of osteocalcin in a mouse model of Parkinson’s disease. Microbiome 9, 34 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Song, J. & Kim, O. Y. Perspectives in Lipocalin-2: Emerging Biomarker for Medical Diagnosis and Prognosis for Alzheimer’s Disease. Clin. Nutr. Res. 7, 1–10 (2018).Article 

PubMed 

PubMed Central 

Google Scholar 

Shi, T. et al. Osteocyte-derived sclerostin impairs cognitive function during ageing and Alzheimer’s disease progression. Nat. Metab. 6, 531–549 (2024).Article 

PubMed 

Google Scholar 

Jiang, S. Y. et al. The cGAS-STING-YY1 axis accelerates progression of neurodegeneration in a mouse model of Parkinson’s disease via LCN2-dependent astrocyte senescence. Cell Death Differ. 30, 2280–2292 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Petrozziello, T. et al. Lipocalin-2 is increased in amyotrophic lateral sclerosis. Muscle Nerve 62, 272–283 (2020).Article 

CAS 

PubMed 

Google Scholar 

Wu, B. W. et al. Osteoblast-derived lipocalin-2 regulated by miRNA-96-5p/Foxo1 advances the progression of Alzheimer’s disease. Epigenomics 12, 1501–1513 (2020).Article 

CAS 

PubMed 

Google Scholar 

Pluvinage, J. V. & Wyss-Coray, T. Systemic factors as mediators of brain homeostasis, ageing and neurodegeneration. Nat. Rev. Neurosci. 21, 93–102 (2020).Article 

CAS 

PubMed 

Google Scholar 

Villeda, S. A. et al. The ageing systemic milieu negatively regulates neurogenesis and cognitive function. Nature 477, 90–94 (2011).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Rebo, J. et al. A single heterochronic blood exchange reveals rapid inhibition of multiple tissues by old blood. Nat. Commun. 7, 13363 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wang, J., Gu, B. J., Masters, C. L. & Wang, Y. J. A systemic view of Alzheimer disease - insights from amyloid-β metabolism beyond the brain. Nat. Rev. Neurol. 13, 612–623 (2017).Article 

CAS 

PubMed 

Google Scholar 

Chen, M., Inestrosa, N. C., Ross, G. S. & Fernandez, H. L. Platelets are the primary source of amyloid beta-peptide in human blood. Biochem. Biophys. Res. Commun. 213, 96–103 (1995).Article 

CAS 

PubMed 

Google Scholar 

Faria, A. V. S. et al. Platelets in aging and cancer-“double-edged sword. Cancer Metastasis Rev. 39, 1205–1221 (2020).Article 

PubMed 

PubMed Central 

Google Scholar 

Montenont, E., Rondina, M. T. & Campbell, R. A. Altered functions of platelets during aging. Curr. Opin. Hematol. 26, 336–342 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Sun, H. L. et al. Blood cell-produced amyloid-β induces cerebral Alzheimer-type pathologies and behavioral deficits. Mol. Psychiatry 26, 5568–5577 (2021).Article 

CAS 

PubMed 

Google Scholar 

Kim, J. W. et al. Serum albumin and beta-amyloid deposition in the human brain. Neurology 95, e815–e826 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gom, I. et al. Relationship between serum albumin level and aging in community-dwelling self-supported elderly population. J. Nutr. Sci. Vitaminol. 53, 37–42 (2007).Article 

PubMed 

Google Scholar 

Biere, A. L. et al. Amyloid beta-peptide is transported on lipoproteins and albumin in human plasma. J. Biol. Chem. 271, 32916–32922 (1996).Article 

CAS 

PubMed 

Google Scholar 

Smith, L. K. et al. β2-microglobulin is a systemic pro-aging factor that impairs cognitive function and neurogenesis. Nat. Med. 21, 932–937 (2015).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gao, Y. et al. β2-microglobulin functions as an endogenous NMDAR antagonist to impair synaptic function. Cell 186, 1026–1038.e1020 (2023).Article 

CAS 

PubMed 

Google Scholar 

Castellano, J. M. et al. Human umbilical cord plasma proteins revitalize hippocampal function in aged mice. Nature 544, 488–492 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Boyd, T. D. et al. GM-CSF upregulated in rheumatoid arthritis reverses cognitive impairment and amyloidosis in Alzheimer mice. J. Alzheimers Dis. 21, 507–518 (2010).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kiyota, T. et al. Granulocyte-macrophage colony-stimulating factor neuroprotective activities in Alzheimer’s disease mice. J. Neuroimmunol. 319, 80–92 (2018).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhang, K. et al. Neuroprotective effects of TRPV1 by targeting GDF11 in the Mpp+/MPTP-induced Parkinson’s disease model. Biochem. Biophys. Res. Commun. 623, 104–110 (2022).Article 

CAS 

PubMed 

Google Scholar 

Parkin, J. & Cohen, B. An overview of the immune system. Lancet 357, 1777–1789 (2001).Article 

CAS 

PubMed 

Google Scholar 

Hazeldine, J. & Lord, J. M. Innate immunesenescence: underlying mechanisms and clinical relevance. Biogerontology 16, 187–201 (2015).Article 

CAS 

PubMed 

Google Scholar 

Yousefzadeh, M. J. et al. An aged immune system drives senescence and ageing of solid organs. Nature 594, 100–105 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Chen, S. H. et al. Amyloid-beta uptake by blood monocytes is reduced with ageing and Alzheimer’s disease. Transl. Psychiatry 10, 423 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Xu, L. et al. Erythropoietin signaling in peripheral macrophages is required for systemic β-amyloid clearance. EMBO J. 41, e111038 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kim, K. et al. Therapeutic B-cell depletion reverses progression of Alzheimer’s disease. Nat. Commun. 12, 2185 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Liu, R. et al. Mid-life leukocyte telomere length and dementia risk: An observational and mendelian randomization study of 435,046 UK Biobank participants. Aging Cell 22, e13808 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kouli, A. & Williams-Gray, C. H. Age-Related Adaptive Immune Changes in Parkinson’s Disease. J. Parkinsons Dis. 12, S93–s104 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Yildiz, O. et al. Senescent-like Blood Lymphocytes and Disease Progression in Amyotrophic Lateral Sclerosis. Neurol. Neuroimmunol. Neuroinflamm. 10, e200042 (2023).Sassone, J. et al. Huntington’s disease: the current state of research with peripheral tissues. Exp. Neurol. 219, 385–397 (2009).Article 

CAS 

PubMed 

Google Scholar 

Sawyer, R. P. et al. Differences in peripheral immune system gene expression in frontotemporal degeneration. Medicine 101, e28645 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Chu, M. et al. Peripheral inflammation in behavioural variant frontotemporal dementia: associations with central degeneration and clinical measures. J. Neuroinflammation 20, 65 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Asken, B. M. et al. Plasma inflammation for predicting phenotypic conversion and clinical progression of autosomal dominant frontotemporal lobar degeneration. J. Neurol. Neurosurg. Psychiatry 94, 541–549 (2023).Article 

PubMed 

Google Scholar 

Borsa, L., Dubois, M., Sacco, G. & Lupi, L. Analysis the Link between Periodontal Diseases and Alzheimer’s Disease: A Systematic Review. Int. J. Environ. Res. Public Health. 18, 9312 (2021).Leblhuber, F. et al. Knock-on effect of periodontitis to the pathogenesis of Alzheimer’s disease? Wien. Klin. Wochenschr. 132, 493–498 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Piacentini, R. et al. HSV-1 and Alzheimer’s disease: more than a hypothesis. Front. Pharm. 5, 97 (2014).Article 

Google Scholar 

Gaikwad, S., Senapati, S., Haque, M. A. & Kayed, R. Senescence, brain inflammation, and oligomeric tau drive cognitive decline in Alzheimer’s disease: Evidence from clinical and preclinical studies. Alzheimers Dement. 20, 709–727 (2024).Article 

CAS 

PubMed 

Google Scholar 

Levine, K. S. et al. Virus exposure and neurodegenerative disease risk across national biobanks. Neuron 111, 1086–1093.e1082 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Hosseini, S. & Korte, M. How viral infections cause neuronal dysfunction: a focus on the role of microglia and astrocytes. Biochem. Soc. Trans. 51, 259–274 (2023).Article 

CAS 

PubMed 

Google Scholar 

Sagar, D. et al. Mechanisms of dendritic cell trafficking across the blood-brain barrier. J. Neuroimmune Pharm. 7, 74–94 (2012).Article 

Google Scholar 

Cui, J. et al. Inflammation of the Embryonic Choroid Plexus Barrier following Maternal Immune Activation. Dev. Cell 55, 617–628.e616 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Cugurra, A. et al. Skull and vertebral bone marrow are myeloid cell reservoirs for the meninges and CNS parenchyma. Science. 373, eabf7844 (2021).Gate, D. et al. Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer’s disease. Nature 577, 399–404 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

van den Beld, A. W. et al. The physiology of endocrine systems with ageing. Lancet Diab. Endocrinol. 6, 647–658 (2018).Article 

Google Scholar 

Shin, Y. A. & Lee, K. Y. Low estrogen levels and obesity are associated with shorter telomere lengths in pre- and postmenopausal women. J. Exerc. Rehabil. 12, 238–246 (2016).Article 

PubMed 

PubMed Central 

Google Scholar 

Franke, K., Gaser, C., Manor, B. & Novak, V. Advanced BrainAGE in older adults with type 2 diabetes mellitus. Front. Aging Neurosci. 5, 90 (2013).Article 

PubMed 

PubMed Central 

Google Scholar 

Harvanek, Z. M., Fogelman, N., Xu, K. & Sinha, R. Psychological and biological resilience modulates the effects of stress on epigenetic aging. Transl. Psychiatry 11, 601 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Xiong, J. et al. FSH blockade improves cognition in mice with Alzheimer’s disease. Nature 603, 470–476 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Scheyer, O. et al. Female Sex and Alzheimer’s Risk: The Menopause Connection. J. Prev. Alzheimers Dis. 5, 225–230 (2018).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhou, L. et al. Disruption of α-Synuclein Proteostasis in the Striatum and Midbrain of Long-term Ovariectomized Female Mice. Neuroscience 523, 80–90 (2023).Article 

CAS 

PubMed 

Google Scholar 

Kellar, D. & Craft, S. Brain insulin resistance in Alzheimer’s disease and related disorders: mechanisms and therapeutic approaches. Lancet Neurol. 19, 758–766 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Hong, C. T. et al. Insulin Resistance Promotes Parkinson’s Disease through Aberrant Expression of α-Synuclein, Mitochondrial Dysfunction, and Deregulation of the Polo-Like Kinase 2 Signaling. Cells. 9, 740 (2020).Lv, Y. Q. et al. Long-term hyperglycemia aggravates α-synuclein aggregation and dopaminergic neuronal loss in a Parkinson’s disease mouse model. Transl. Neurodegener. 11, 14 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Ahmed, R. M. et al. Systemic metabolism in frontotemporal dementia. Neurology 83, 1812–1818 (2014).Article 

CAS 

PubMed 

Google Scholar 

Sawicka-Gutaj, N., Zawalna, N., Gut, P. & Ruchala, M. Relationship between thyroid hormones and central nervous system metabolism in physiological and pathological conditions. Pharm. Rep. 74, 847–858 (2022).Article 

Google Scholar 

Figueroa, P. B. S. et al. Association between thyroid function and Alzheimer’s disease: A systematic review. Metab. Brain Dis. 36, 1523–1543 (2021).Article 

PubMed 

Google Scholar 

Mey, M., Bhatta, S. & Casadesus, G. Luteinizing hormone and the aging brain. Vitam. Horm. 115, 89–104 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Sharma, T., Kaur, D., Grewal, A. K. & Singh, T. G. Therapies modulating insulin resistance in Parkinson’s disease: A cross talk. Neurosci. Lett. 749, 135754 (2021).Article 

CAS 

PubMed 

Google Scholar 

Sánchez-Gómez, A. et al. Peripheral insulin and amylin levels in Parkinson’s disease. Parkinsonism Relat. Disord. 79, 91–96 (2020).Article 

PubMed 

Google Scholar 

Choi, G. E. & Han, H. J. Glucocorticoid impairs mitochondrial quality control in neurons. Neurobiol. Dis. 152, 105301 (2021).Article 

CAS 

PubMed 

Google Scholar 

Herrero, M. T., Estrada, C., Maatouk, L. & Vyas, S. Inflammation in Parkinson’s disease: role of glucocorticoids. Front. Neuroanat. 9, 32 (2015).Article 

PubMed 

PubMed Central 

Google Scholar 

Björkqvist, M. et al. Progressive alterations in the hypothalamic-pituitary-adrenal axis in the R6/2 transgenic mouse model of Huntington’s disease. Hum. Mol. Genet. 15, 1713–1721 (2006).Article 

PubMed 

Google Scholar 

Farrer, L. A. Diabetes mellitus in Huntington disease. Clin. Genet. 27, 62–67 (1985).Article 

CAS 

PubMed 

Google Scholar 

Sanberg, P. R., Fibiger, H. C. & Mark, R. F. Body weight and dietary factors in Huntington’s disease patients compared with matched controls. Med. J. Aust. 1, 407–409 (1981).Article 

CAS 

PubMed 

Google Scholar 

Silva, M. V. F. et al. Alzheimer’s disease: risk factors and potentially protective measures. J. Biomed. Sci. 26, 33 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Santos, A. L. & Sinha, S. Obesity and aging: Molecular mechanisms and therapeutic approaches. Ageing Res Rev. 67, 101268 (2021).Article 

CAS 

PubMed 

Google Scholar 

Whitmer, R. A. et al. Central obesity and increased risk of dementia more than three decades later. Neurology 71, 1057–1064 (2008).Article 

CAS 

PubMed 

Google Scholar 

Liu, P. et al. High-fat diet-induced diabetes couples to Alzheimer’s disease through inflammation-activated C/EBPβ/AEP pathway. Mol. Psychiatry 27, 3396–3409 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gannon, O. J. et al. High-fat diet exacerbates cognitive decline in mouse models of Alzheimer’s disease and mixed dementia in a sex-dependent manner. J. Neuroinflammation 19, 110 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Mattson, M. P., Longo, V. D. & Harvie, M. Impact of intermittent fasting on health and disease processes. Ageing Res. Rev. 39, 46–58 (2017).Article 

PubMed 

Google Scholar 

Lourida, I. et al. Association of Lifestyle and Genetic Risk With Incidence of Dementia. JAMA 322, 430–437 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Livingston, G. et al. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 404, 572–628 (2024).Article 

PubMed 

Google Scholar 

Carroll, J. B. et al. Treating the whole body in Huntington’s disease. Lancet Neurol. 14, 1135–1142 (2015).Article 

PubMed 

Google Scholar 

Castellano, J. M., Kirby, E. D. & Wyss-Coray, T. Blood-Borne Revitalization of the Aged Brain. JAMA Neurol. 72, 1191–1194 (2015).Article 

PubMed 

PubMed Central 

Google Scholar 

Khrimian, L. et al. Gpr158 mediates osteocalcin’s regulation of cognition. J. Exp. Med. 214, 2859–2873 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Katsimpardi, L. et al. Systemic GDF11 stimulates the secretion of adiponectin and induces a calorie restriction-like phenotype in aged mice. Aging Cell 19, e13038 (2020).Article 

CAS 

PubMed 

Google Scholar 

Wrann, C. D. et al. Exercise induces hippocampal BDNF through a PGC-1α/FNDC5 pathway. Cell Metab. 18, 649–659 (2013).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kam, T. I. et al. Amelioration of pathologic α-synuclein-induced Parkinson’s disease by irisin. Proc. Natl Acad. Sci. USA 119, e2204835119 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

De Miguel, Z. et al. Exercise plasma boosts memory and dampens brain inflammation via clusterin. Nature 600, 494–499 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Schroer, A. B. et al. Platelet factors attenuate inflammation and rescue cognition in ageing. Nature 620, 1071–1079 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Comerota, M. M. et al. Oleoylethanolamide facilitates PPARα and TFEB signaling and attenuates Aβ pathology in a mouse model of Alzheimer’s disease. Mol. Neurodegener. 18, 56 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gan, K. J. & Südhof, T. C. Specific factors in blood from young but not old mice directly promote synapse formation and NMDA-receptor recruitment. Proc. Natl Acad. Sci. USA 116, 12524–12533 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Mehdipour, M. et al. Rejuvenation of brain, liver and muscle by simultaneous pharmacological modulation of two signaling determinants, that change in opposite directions with age. Aging 11, 5628–5645 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhou, H. J. et al. Lentivirus-mediated klotho up-regulation improves aging-related memory deficits and oxidative stress in senescence-accelerated mouse prone-8 mice. Life Sci. 200, 56–62 (2018).Article 

CAS 

PubMed 

Google Scholar 

Jaijyan, D. K. et al. New intranasal and injectable gene therapy for healthy life extension. Proc. Natl Acad. Sci. USA 119, e2121499119 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wyss-Coray, T. Ageing, neurodegeneration and brain rejuvenation. Nature 539, 180–186 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gao, Y. et al. beta2-microglobulin functions as an endogenous NMDAR antagonist to impair synaptic function. Cell 186, 1026–1038 e1020 (2023).Article 

CAS 

PubMed 

Google Scholar 

Yousef, H. et al. Aged blood impairs hippocampal neural precursor activity and activates microglia via brain endothelial cell VCAM1. Nat. Med. 25, 988–1000 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Park, M. H., Jin, H. K. & Bae, J. S. Potential therapeutic target for aging and age-related neurodegenerative diseases: the role of acid sphingomyelinase. Exp. Mol. Med. 52, 380–389 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Smith, L. K. et al. The aged hematopoietic system promotes hippocampal-dependent cognitive decline. Aging Cell 19, e13192 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Covarrubias, A. J., Perrone, R., Grozio, A. & Verdin, E. NAD(+) metabolism and its roles in cellular processes during ageing. Nat. Rev. Mol. Cell Biol. 22, 119–141 (2021).Article 

CAS 

PubMed 

Google Scholar 

Salminen, A., Kaarniranta, K. & Kauppinen, A. Age-related changes in AMPK activation: Role for AMPK phosphatases and inhibitory phosphorylation by upstream signaling pathways. Ageing Res. Rev. 28, 15–26 (2016).Article 

CAS 

PubMed 

Google Scholar 

Xia, Y. et al. Neuronal C/EBPβ/AEP pathway shortens life span via selective GABAnergic neuronal degeneration by FOXO repression. Sci. Adv. 8, eabj8658 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Xiong, J., Zhang, Z. & Ye, K. C/EBPβ/AEP Signaling Drives Alzheimer’s Disease Pathogenesis. Neurosci. Bull. 39, 1173–1185 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Wu, Z. et al. C/EBPβ/δ-secretase signaling mediates Parkinson’s disease pathogenesis via regulating transcription and proteolytic cleavage of α-synuclein and MAOB. Mol. Psychiatry 26, 568–585 (2021).Article 

CAS 

PubMed 

Google Scholar 

Partridge, L., Fuentealba, M. & Kennedy, B. K. The quest to slow ageing through drug discovery. Nat. Rev. Drug Discov. 19, 513–532 (2020).Article 

CAS 

PubMed 

Google Scholar 

Juricic, P. et al. Long-lasting geroprotection from brief rapamycin treatment in early adulthood by persistently increased intestinal autophagy. Nat. Aging 2, 824–836 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhang, Y., Zhang, J. & Wang, S. The Role of Rapamycin in Healthspan Extension via the Delay of Organ Aging. Ageing Res. Rev. 70, 101376 (2021).Article 

CAS 

PubMed 

Google Scholar 

Moskalev, A. et al. Targeting aging mechanisms: pharmacological perspectives. Trends Endocrinol. Metab. 33, 266–280 (2022).Article 

CAS 

PubMed 

Google Scholar 

Kulkarni, A. S., Gubbi, S. & Barzilai, N. Benefits of Metformin in Attenuating the Hallmarks of Aging. Cell Metab. 32, 15–30 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Peng, W. et al. Novel Insights into the Roles and Mechanisms of GLP-1 Receptor Agonists against Aging-Related Diseases. Aging Dis. 13, 468–490 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Li, Z. et al. Systemic GLP-1R agonist treatment reverses mouse glial and neurovascular cell transcriptomic aging signatures in a genome-wide manner. Commun. Biol. 4, 656 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Jiang, Z. et al. Short term treatment with a cocktail of rapamycin, acarbose and phenylbutyrate delays aging phenotypes in mice. Sci. Rep. 12, 7300 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Jiang, Z. et al. A cocktail of rapamycin, acarbose, and phenylbutyrate prevents age-related cognitive decline in mice by targeting multiple aging pathways. Geroscience 46, 4855–4868 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Yu, Y. et al. Parp mutations protect from mitochondrial toxicity in Alzheimer’s disease. Cell Death Dis. 12, 651 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lehmann, S. et al. Parp mutations protect against mitochondrial dysfunction and neurodegeneration in a PARKIN model of Parkinson’s disease. Cell Death Dis. 7, e2166 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lloret, A. & Beal, M. F. PGC-1α, Sirtuins and PARPs in Huntington’s Disease and Other Neurodegenerative Conditions: NAD+ to Rule Them All. Neurochem Res. 44, 2423–2434 (2019).Article 

CAS 

PubMed 

Google Scholar 

Buck, E. et al. Comparison of Sirtuin 3 Levels in ALS and Huntington’s Disease-Differential Effects in Human Tissue Samples vs. Transgenic Mouse Models. Front. Mol. Neurosci. 10, 156 (2017).Article 

PubMed 

PubMed Central 

Google Scholar 

Gomes, B. A. Q. et al. Neuroprotective Mechanisms of Resveratrol in Alzheimer’s Disease: Role of SIRT1. Oxid. Med. Cell Longev. 2018, 8152373 (2018).Article 

PubMed 

PubMed Central 

Google Scholar 

Dhiman, S. et al. Sirtuin dysregulation in Parkinson’s disease: Implications of acetylation and deacetylation processes. Life Sci. 342, 122537 (2024).Article 

CAS 

PubMed 

Google Scholar 

Carosi, J. M. & Sargeant, T. J. Rapamycin and Alzheimer disease: a hypothesis for the effective use of rapamycin for treatment of neurodegenerative disease. Autophagy 19, 2386–2390 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Carosi, J. M. & Sargeant, T. J. Rapamycin and Alzheimer disease: a double-edged sword? Autophagy 15, 1460–1462 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Liu, T. et al. Rapamycin reverses ferroptosis by increasing autophagy in MPTP/MPP(+)-induced models of Parkinson’s disease. Neural Regen. Res. 18, 2514–2519 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Roth, J. R. et al. Rapamycin reduces neuronal mutant huntingtin aggregation and ameliorates locomotor performance in Drosophila. Front. Aging Neurosci. 15, 1223911 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Querfurth, H. & Lee, H. K. Mammalian/mechanistic target of rapamycin (mTOR) complexes in neurodegeneration. Mol. Neurodegener. 16, 44 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Röder, C. et al. Cryo-EM structure of islet amyloid polypeptide fibrils reveals similarities with amyloid-β fibrils. Nat. Struct. Mol. Biol. 27, 660–667 (2020).Article 

PubMed 

Google Scholar 

Chohan, H. et al. Type 2 Diabetes as a Determinant of Parkinson’s Disease Risk and Progression. Mov. Disord. 36, 1420–1429 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Nowell, J., Blunt, E., Gupta, D. & Edison, P. Antidiabetic agents as a novel treatment for Alzheimer’s and Parkinson’s disease. Ageing Res. Rev. 89, 101979 (2023).Article 

CAS 

PubMed 

Google Scholar 

Trujillo-Del Río, C. et al. Metformin to treat Huntington disease: A pleiotropic drug against a multi-system disorder. Mech. Ageing Dev. 204, 111670 (2022).Article 

PubMed 

Google Scholar 

Zu, T. et al. Metformin inhibits RAN translation through PKR pathway and mitigates disease in C9orf72 ALS/FTD mice. Proc. Natl Acad. Sci. USA 117, 18591–18599 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Calsolaro, V. & Edison, P. Novel GLP-1 (Glucagon-Like Peptide-1) Analogues and Insulin in the Treatment for Alzheimer’s Disease and Other Neurodegenerative Diseases. CNS Drugs 29, 1023–1039 (2015).Article 

CAS 

PubMed 

Google Scholar 

Kopp, K. O., Glotfelty, E. J., Li, Y. & Greig, N. H. Glucagon-like peptide-1 (GLP-1) receptor agonists and neuroinflammation: Implications for neurodegenerative disease treatment. Pharm. Res. 186, 106550 (2022).Article 

CAS 

Google Scholar 

Wezeman, J. et al. A drug cocktail of rapamycin, acarbose, and phenylbutyrate enhances resilience to features of early-stage Alzheimer’s disease in aging mice. Preprint at https://doi.org/10.1101/2024.01.26.577437 (2024).Jeon, O. H. et al. Systemic induction of senescence in young mice after single heterochronic blood exchange. Nat. Metab. 4, 995–1006 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhang, P. et al. Senolytic therapy alleviates Aβ-associated oligodendrocyte progenitor cell senescence and cognitive deficits in an Alzheimer’s disease model. Nat. Neurosci. 22, 719–728 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Miller, S. J. et al. Senolytic and senomorphic secondary metabolites as therapeutic agents in Drosophila melanogaster models of Parkinson’s disease. Front. Neurol. 14, 1271941 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Lavasani, M. et al. Muscle-derived stem/progenitor cell dysfunction limits healthspan and lifespan in a murine progeria model. Nat. Commun. 3, 608 (2012).Article 

PubMed 

Google Scholar 

Ruckh, J. M. et al. Rejuvenation of regeneration in the aging central nervous system. Cell Stem Cell 10, 96–103 (2012).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Koronyo, Y. et al. Therapeutic effects of glatiramer acetate and grafted CD115+ monocytes in a mouse model of Alzheimer’s disease. Brain 138, 2399–2422 (2015).Article 

PubMed 

PubMed Central 

Google Scholar 

Park, T. Y. et al. Co-transplantation of autologous T(reg) cells in a cell therapy for Parkinson’s disease. Nature 619, 606–615 (2023).Article 

CAS 

PubMed 

Google Scholar 

Xiang, Z. et al. Lineage tracing of direct astrocyte-to-neuron conversion in the mouse cortex. Neural Regen. Res. 16, 750–756 (2021).Article 

PubMed 

Google Scholar 

Sutrave, G., Blyth, E. & Gottlieb, D. J. Cellular therapy for multiple pathogen infections after hematopoietic stem cell transplant. Cytotherapy 19, 1284–1301 (2017).Article 

CAS 

PubMed 

Google Scholar 

Baumrin, E. et al. Chronic graft-versus-host disease. Part I: Epidemiology, pathogenesis, and clinical manifestations. J. Am. Acad. Dermatol. 90, 1–16 (2024).Article 

CAS 

PubMed 

Google Scholar 

Adhikari, J., Sharma, P. & Bhatt, V. R. Risk of secondary solid malignancies after allogeneic hematopoietic stem cell transplantation and preventive strategies. Fut. Oncol. 11, 3175–3185 (2015).Article 

CAS 

Google Scholar 

Sanz-Ros, J. et al. Small extracellular vesicles from young adipose-derived stem cells prevent frailty, improve health span, and decrease epigenetic age in old mice. Sci. Adv. 8, eabq2226 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lei, Q. et al. Extracellular vesicles deposit PCNA to rejuvenate aged bone marrow-derived mesenchymal stem cells and slow age-related degeneration. Sci. Transl. Med. 13, eaaz8697 (2021).Liu, X. et al. Peripheral extracellular vesicles in neurodegeneration: pathogenic influencers and therapeutic vehicles. J. Nanobiotechnol. 22, 170 (2024).Article 

Google Scholar 

Zhang, Y. et al. Hypothalamic stem cells control ageing speed partly through exosomal miRNAs. Nature 548, 52–57 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gao, G. et al. Neural stem cell-derived extracellular vesicles mitigate Alzheimer’s disease-like phenotypes in a preclinical mouse model. Signal Transduct. Target Ther. 8, 228 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Lee, E. J. et al. Human neural stem cell-derived extracellular vesicles protect against Parkinson’s disease pathologies. J. Nanobiotechnol. 20, 198 (2022).Article 

CAS 

Google Scholar 

Chen, X. et al. Small extracellular vesicles from young plasma reverse age-related functional declines by improving mitochondrial energy metabolism. Nat. Aging 4, 814–838 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Zhang, B. et al. Multi-omic rejuvenation and life span extension on exposure to youthful circulation. Nat. Aging 3, 948–964 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kang, S., Moser, V. A., Svendsen, C. N. & Goodridge, H. S. Rejuvenating the blood and bone marrow to slow aging-associated cognitive decline and Alzheimer’s disease. Commun. Biol. 3, 69 (2020).Article 

PubMed 

PubMed Central 

Google Scholar 

Xia, E. et al. Young Blood Rescues the Cognition of Alzheimer’s Model Mice by Restoring the Hippocampal Cholinergic Circuit. Neuroscience 417, 57–69 (2019).Article 

CAS 

PubMed 

Google Scholar 

Villeda, S. A. et al. Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice. Nat. Med. 20, 659–663 (2014).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Dayoub, J. C. et al. The effects of donor age on organ transplants: A review and implications for aging research. Exp. Gerontol. 110, 230–240 (2018).Article 

PubMed 

PubMed Central 

Google Scholar 

Clement, J. et al. Umbilical cord plasma concentrate has beneficial effects on DNA methylation GrimAge and human clinical biomarkers. Aging Cell 21, e13696 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Urayama, A. et al. Preventive and therapeutic reduction of amyloid deposition and behavioral impairments in a model of Alzheimer’s disease by whole blood exchange. Mol. Psychiatry 27, 4285–4296 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Das, M. M. et al. Young bone marrow transplantation preserves learning and memory in old mice. Commun. Biol. 2, 73 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Kovina, M. V. et al. Extension of Maximal Lifespan and High Bone Marrow Chimerism After Nonmyeloablative Syngeneic Transplantation of Bone Marrow From Young to Old Mice. Front. Genet. 10, 310 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Li, C., Chen, Y. H. & Zhang, K. Neuroprotective Properties and Therapeutic Potential of Bone Marrow-Derived Microglia in Alzheimer’s Disease. Am. J. Alzheimers Dis. Other Demen 35, 1533317520927169 (2020).Article 

PubMed 

PubMed Central 

Google Scholar 

Sun, P. Y. et al. Rejuvenation of peripheral immune cells attenuates Alzheimer’s disease-like pathologies and behavioral deficits in a mouse model. Sci. Adv. 10, eadl1123 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kwan, W. et al. Bone marrow transplantation confers modest benefits in mouse models of Huntington’s disease. J. Neurosci. 32, 133–142 (2012).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Parker, A. et al. Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain. Microbiome 10, 68 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kim, M. S. et al. Transfer of a healthy microbiota reduces amyloid and tau pathology in an Alzheimer’s disease animal model. Gut 69, 283–294 (2020).Article 

CAS 

PubMed 

Google Scholar 

Xie, Z. et al. Healthy Human Fecal Microbiota Transplantation into Mice Attenuates MPTP-Induced Neurotoxicity via AMPK/SOD2 Pathway. Aging Dis. 14, 2193–2214 (2023).Article 

PubMed 

PubMed Central 

Google Scholar 

Segal, A. et al. Fecal microbiota transplant as a potential treatment for Parkinson’s disease - A case series. Clin. Neurol. Neurosurg. 207, 106791 (2021).Article 

PubMed 

Google Scholar 

Zhang, G. et al. Hypothalamic programming of systemic ageing involving IKK-β, NF-κB and GnRH. Nature 497, 211–216 (2013).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Cen, J. et al. Anti-aging effect of estrogen on telomerase activity in ovariectomised rats–animal model for menopause. Gynecol. Endocrinol. 31, 582–585 (2015).CAS 

PubMed 

Google Scholar 

Zhu, D., Montagne, A. & Zhao, Z. Alzheimer’s pathogenic mechanisms and underlying sex difference. Cell Mol. Life Sci. 78, 4907–4920 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Jaszberenyi, M. et al. Beneficial effects of novel antagonists of GHRH in different models of Alzheimer’s disease. Aging 4, 755–767 (2012).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Fitzgerald, G. S., Chuchta, T. G. & McNay, E. C. Insulin-like growth factor-2 is a promising candidate for the treatment and prevention of Alzheimer’s disease. CNS Neurosci. Ther. 29, 1449–1469 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Uddin, M. S. et al. Estrogen Signaling in Alzheimer’s Disease: Molecular Insights and Therapeutic Targets for Alzheimer’s Dementia. Mol. Neurobiol. 57, 2654–2670 (2020).Article 

CAS 

PubMed 

Google Scholar 

Mishra, P., Davies, D. A. & Albensi, B. C. The Interaction Between NF-κB and Estrogen in Alzheimer’s Disease. Mol. Neurobiol. 60, 1515–1526 (2023).Article 

CAS 

PubMed 

Google Scholar 

Morale, M. C. et al. Estrogen, neuroinflammation and neuroprotection in Parkinson’s disease: glia dictates resistance versus vulnerability to neurodegeneration. Neuroscience 138, 869–878 (2006).Article 

CAS 

PubMed 

Google Scholar 

Makav, M. & Eroglu, H. A. Recuperative effect of estrogen on rotenone-induced experimental model of Parkinson’s disease in rats. Environ. Sci. Pollut. Res. Int. 28, 21266–21275 (2021).Article 

CAS 

PubMed 

Google Scholar 

Franceschi, C. et al. Inflammaging and ‘Garb-aging. Trends Endocrinol. Metab. 28, 199–212 (2017).Article 

CAS 

PubMed 

Google Scholar 

Campisi, J. et al. From discoveries in ageing research to therapeutics for healthy ageing. Nature 571, 183–192 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Minciullo, P. L. et al. Inflammaging and Anti-Inflammaging: The Role of Cytokines in Extreme Longevity. Arch. Immunol. Ther. Exp. 64, 111–126 (2016).Article 

CAS 

Google Scholar 

Osorio, F. G. et al. Nuclear lamina defects cause ATM-dependent NF-κB activation and link accelerated aging to a systemic inflammatory response. Genes Dev. 26, 2311–2324 (2012).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Widjaja, A. A. et al. Inhibition of IL-11 signalling extends mammalian healthspan and lifespan. Nature 632, 157–165 (2024).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Fielder, E. et al. Anti-inflammatory treatment rescues memory deficits during aging in nfkb1(-/-) mice. Aging Cell 19, e13188 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Danilov, A. et al. Influence of non-steroidal anti-inflammatory drugs on Drosophila melanogaster longevity. Oncotarget 6, 19428–19444 (2015).Article 

PubMed 

PubMed Central 

Google Scholar 

Strong, R. et al. Nordihydroguaiaretic acid and aspirin increase lifespan of genetically heterogeneous male mice. Aging Cell 7, 641–650 (2008).Article 

CAS 

PubMed 

Google Scholar 

Zhu, H. et al. Resveratrol Alleviates Inflammation and ER Stress Through SIRT1/NRF2 to Delay Ovarian Aging in a Short-Lived Fish. J. Gerontol. A Biol. Sci. Med. Sci. 78, 596–602 (2023).Article 

CAS 

PubMed 

Google Scholar 

Chen, X. et al. Ginkgo Biloba Extract Can Antagonize Subchronic Arsenite Exposure-Induced Hepatocyte Senescence by Inhibiting Oxidative Damage and Inflammation in Rats. Biol. Trace Elem. Res. 202, 4596–4604 (2024).Article 

CAS 

PubMed 

Google Scholar 

Gulen, M. F. et al. cGAS-STING drives ageing-related inflammation and neurodegeneration. Nature 620, 374–380 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Combs, C. K. et al. Inflammatory mechanisms in Alzheimer’s disease: inhibition of beta-amyloid-stimulated proinflammatory responses and neurotoxicity by PPARgamma agonists. J. Neurosci. 20, 558–567 (2000).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Alrouji, M. et al. A story of the potential effect of non-steroidal anti-inflammatory drugs (NSAIDs) in Parkinson’s disease: beneficial or detrimental effects. Inflammopharmacology 31, 673–688 (2023).Article 

CAS 

PubMed 

Google Scholar 

Chang, M. C., Kwak, S. G., Park, J. S. & Park, D. The effectiveness of nonsteroidal anti-inflammatory drugs and acetaminophen in reduce the risk of amyotrophic lateral sclerosis? A meta-analysis. Sci. Rep. 10, 14759 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Li, T. et al. Cognitive training can reduce the rate of cognitive aging: a neuroimaging cohort study. BMC Geriatr. 16, 12 (2016).Article 

PubMed 

PubMed Central 

Google Scholar 

Ulgherait, M. et al. Circadian autophagy drives iTRF-mediated longevity. Nature 598, 353–358 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kondratova, A. A. & Kondratov, R. V. The circadian clock and pathology of the ageing brain. Nat. Rev. Neurosci. 13, 325–335 (2012).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Vermeij, W. P. et al. Restricted diet delays accelerated ageing and genomic stress in DNA-repair-deficient mice. Nature 537, 427–431 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Sun, S. et al. A single-cell transcriptomic atlas of exercise-induced anti-inflammatory and geroprotective effects across the body. Innovation 4, 100380 (2023).CAS 

PubMed 

PubMed Central 

Google Scholar 

Casaletto, K. B. et al. Active lifestyles moderate clinical outcomes in autosomal dominant frontotemporal degeneration. Alzheimers Dement 16, 91–105 (2020).Article 

CAS 

PubMed 

Google Scholar 

Whittaker, D. S. et al. Circadian modulation by time-restricted feeding rescues brain pathology and improves memory in mouse models of Alzheimer’s disease. Cell Metab. 35, 1704–1721.e1706 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kim, E. et al. Effects of the Clock Modulator Nobiletin on Circadian Rhythms and Pathophysiology in Female Mice of an Alzheimer’s Disease Model. Biomolecules. 11, 1004 (2021).Pallier, P. N. & Morton, A. J. Management of sleep/wake cycles improves cognitive function in a transgenic mouse model of Huntington’s disease. Brain Res. 1279, 90–98 (2009).Article 

CAS 

PubMed 

Google Scholar 

McCarter, S. J., St Louis, E. K. & Boeve, B. F. Sleep Disturbances in Frontotemporal Dementia. Curr. Neurol. Neurosci. Rep. 16, 85 (2016).Article 

PubMed 

Google Scholar 

Yang, Y. & Zhang, L. The effects of caloric restriction and its mimetics in Alzheimer’s disease through autophagy pathways. Food Funct. 11, 1211–1224 (2020).Article 

PubMed 

Google Scholar 

de Carvalho, T. S. Calorie restriction or dietary restriction: how far they can protect the brain against neurodegenerative diseases? Neural Regen. Res. 17, 1640–1644 (2022).Article 

PubMed 

PubMed Central 

Google Scholar 

Ahmed, R. M. et al. Quantifying the eating abnormalities in frontotemporal dementia. JAMA Neurol. 71, 1540–1546 (2014).Article 

PubMed 

Google Scholar 

Ahmed, R. M. et al. Assessment of Eating Behavior Disturbance and Associated Neural Networks in Frontotemporal Dementia. JAMA Neurol. 73, 282–290 (2016).Article 

PubMed 

Google Scholar 

Parry-Williams, G. & Sharma, S. The effects of endurance exercise on the heart: panacea or poison? Nat. Rev. Cardiol. 17, 402–412 (2020).Article 

CAS 

PubMed 

Google Scholar 

Xirouchaki, C. E. et al. Skeletal muscle NOX4 is required for adaptive responses that prevent insulin resistance. Sci. Adv. 7, eabl4988 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Lee, B. et al. Physical Exercise-Induced Myokines in Neurodegenerative Diseases. Int. J. Mol. Sci. 22, 5795 (2021).Zigmond, M. J. et al. Triggering endogenous neuroprotective processes through exercise in models of dopamine deficiency. Parkinsonism Relat. Disord. 15, S42–S45 (2009).Article 

PubMed 

Google Scholar 

Xu, X., Fu, Z. & Le, W. Exercise and Parkinson’s disease. Int. Rev. Neurobiol. 147, 45–74 (2019).Article 

CAS 

PubMed 

Google Scholar 

Ortega-Hombrados, L. et al. Systematic Review of Therapeutic Physical Exercise in Patients with Amyotrophic Lateral Sclerosis over Time. Int. J. Environ. Res. Public Health. 18, 740 (2021).Valenzuela, P. L. et al. Exercise benefits on Alzheimer’s disease: State-of-the-science. Ageing Res. Rev. 62, 101108 (2020).Article 

CAS 

PubMed 

Google Scholar 

Mueller, S. M., Petersen, J. A. & Jung, H. H. Exercise in Huntington’s Disease: Current State and Clinical Significance. Tremor. Other Hyperkinet. Mov. 9, 601 (2019).Article 

Google Scholar 

Fuller, O. K. et al. Impact of voluntary exercise training on the metabolic and behavioral characteristics of the rTg4510 transgenic mouse model of frontotemporal dementia. Behav. Brain Res. 460, 114810 (2024).Article 

CAS 

PubMed 

Google Scholar 

Vlad, S. C., Miller, D. R., Kowall, N. W. & Felson, D. T. Protective effects of NSAIDs on the development of Alzheimer disease. Neurology 70, 1672–1677 (2008).Article 

CAS 

PubMed 

Google Scholar 

Martin, B. K. et al. Cognitive function over time in the Alzheimer’s Disease Anti-inflammatory Prevention Trial (ADAPT): results of a randomized, controlled trial of naproxen and celecoxib. Arch. Neurol. 65, 896–905 (2008).Article 

PubMed 

Google Scholar 

Le, T. T. et al. Effect of Ibuprofen on BrainAGE: A Randomized, Placebo-Controlled, Dose-Response Exploratory Study. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 3, 836–843 (2018).PubMed 

PubMed Central 

Google Scholar 

Devanand, D. P. et al. Antiviral therapy: Valacyclovir Treatment of Alzheimer’s Disease (VALAD) Trial: protocol for a randomised, double-blind,placebo-controlled, treatment trial. BMJ Open 10, e032112 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Varesi, A. et al. The Role of Antioxidants in the Interplay between Oxidative Stress and Senescence. Antioxidants. 11, 5795 (2022).Mehdi, M. M., Solanki, P. & Singh, P. Oxidative stress, antioxidants, hormesis and calorie restriction: The current perspective in the biology of aging. Arch. Gerontol. Geriatr. 95, 104413 (2021).Article 

CAS 

PubMed 

Google Scholar 

Miwa, S., Kashyap, S., Chini, E. & von Zglinicki, T. Mitochondrial dysfunction in cell senescence and aging. J. Clin. Invest. 132, e158447 (2022).Phua, Q. H., Ng, S. Y. & Soh, B. S. Mitochondria: A Potential Rejuvenation Tool against Aging. Aging Dis. 15, 503–516 (2024).PubMed 

PubMed Central 

Google Scholar 

Adlimoghaddam, A. et al. Nilotinib Improves Bioenergetic Profiling in Brain Astroglia in the 3xTg Mouse Model of Alzheimer’s Disease. Aging Dis. 12, 441–465 (2021).Article 

PubMed 

PubMed Central 

Google Scholar 

Simuni, T. et al. Efficacy of Nilotinib in Patients With Moderately Advanced Parkinson Disease: A Randomized Clinical Trial. JAMA Neurol. 78, 312–320 (2021).Article 

PubMed 

Google Scholar 

Pagan, F. et al. Nilotinib Effects in Parkinson’s disease and Dementia with Lewy bodies. J. Parkinsons Dis. 6, 503–517 (2016).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Rosenbloom, M. et al. A Phase II, Single-Center, Randomized, Double-Blind, Placebo-Controlled Study of the Safety and Therapeutic Efficacy of Intranasal Glulisine in Amnestic Mild Cognitive Impairment and Probable Mild Alzheimer’s Disease. Drugs Aging 38, 407–415 (2021).Article 

CAS 

PubMed 

Google Scholar 

Kaeberlein, M. & Galvan, V. Rapamycin and Alzheimer’s disease: Time for a clinical trial? Sci. Transl Med. 11, eaar4289 (2019).Gejl, M. et al. Blood-Brain Glucose Transfer in Alzheimer’s disease: Effect of GLP-1 Analog Treatment. Sci. Rep. 7, 17490 (2017).Article 

PubMed 

PubMed Central 

Google Scholar 

Aviles-Olmos, I. et al. Exenatide and the treatment of patients with Parkinson’s disease. J. Clin. Invest. 123, 2730–2736 (2013).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Shi, Q. et al. Effect of metformin on neurodegenerative disease among elderly adult US veterans with type 2 diabetes mellitus. BMJ Open 9, e024954 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Sluggett, J. K. et al. Metformin and Risk of Alzheimer’s Disease Among Community-Dwelling People With Diabetes: A National Case-Control Study. J Clin Endocrinol Metab. 105, dgz234 (2020).Yulug, B. et al. Combined metabolic activators improve cognitive functions in Alzheimer’s disease patients: a randomised, double-blinded, placebo-controlled phase-II trial. Transl. Neurodegener. 12, 4 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Gibson, G. E. et al. Benfotiamine and Cognitive Decline in Alzheimer’s Disease: Results of a Randomized Placebo-Controlled Phase IIa Clinical Trial. J. Alzheimers Dis. 78, 989–1010 (2020).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Shinto, L. et al. A randomized placebo-controlled pilot trial of omega-3 fatty acids and alpha lipoic acid in Alzheimer’s disease. J. Alzheimers Dis. 38, 111–120 (2014).Article 

CAS 

PubMed 

Google Scholar 

Raikes, A. C. et al. Exploratory imaging outcomes of a phase 1b/2a clinical trial of allopregnanolone as a regenerative therapeutic for Alzheimer’s disease: Structural effects and functional connectivity outcomes. Alzheimers Dement. 8, e12258 (2022).

Google Scholar 

Hernandez, G. D. et al. Safety, tolerability, and pharmacokinetics of allopregnanolone as a regenerative therapeutic for Alzheimer’s disease: A single and multiple ascending dose phase 1b/2a clinical trial. Alzheimers Dement. 6, e12107 (2020).

Google Scholar 

Gleason, C. E. et al. Cognitive Effects of Soy Isoflavones in Patients with Alzheimer’s Disease. J. Alzheimers Dis. 47, 1009–1019 (2015).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Baker, L. D. et al. Effects of growth hormone–releasing hormone on cognitive function in adults with mild cognitive impairment and healthy older adults: results of a controlled trial. Arch. Neurol. 69, 1420–1429 (2012).Article 

PubMed 

PubMed Central 

Google Scholar 

Fahy, G. M. et al. Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell 18, e13028 (2019).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Boada, M. et al. Efficacy and Safety of Plasma Exchange with 5% Albumin to Modify Cerebrospinal Fluid and Plasma Amyloid-β Concentrations and Cognition Outcomes in Alzheimer’s Disease Patients: A Multicenter, Randomized, Controlled Clinical Trial. J. Alzheimers Dis. 56, 129–143 (2017).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Boada, M. et al. A randomized, controlled clinical trial of plasma exchange with albumin replacement for Alzheimer’s disease: Primary results of the AMBAR Study. Alzheimers Dement. 16, 1412–1425 (2020).Article 

PubMed 

Google Scholar 

Navakkode, S. & Kennedy, B. K. Neural ageing and synaptic plasticity: prioritizing brain health in healthy longevity. Front. Aging Neurosci. 16, 1428244 (2024).Article 

PubMed 

PubMed Central 

Google Scholar 

Chaib, S., Tchkonia, T. & Kirkland, J. L. Cellular senescence and senolytics: the path to the clinic. Nat. Med. 28, 1556–1568 (2022).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Qiu, Y. et al. Exercise sustains the hallmarks of health. J. Sport Health Sci. 12, 8–35 (2023).Article 

PubMed 

Google Scholar 

Erickson, K. I. et al. Exercise training increases size of hippocampus and improves memory. Proc. Natl Acad. Sci. USA 108, 3017–3022 (2011).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Short, K. R. et al. Age and aerobic exercise training effects on whole body and muscle protein metabolism. Am. J. Physiol. Endocrinol. Metab. 286, E92–101 (2004).Article 

CAS 

PubMed 

Google Scholar 

Mejías-Peña, Y. et al. Effects of aerobic training on markers of autophagy in the elderly. Age 38, 33 (2016).Article 

PubMed 

PubMed Central 

Google Scholar 

López-Ortiz, S. et al. Exercise interventions in Alzheimer’s disease: A systematic review and meta-analysis of randomized controlled trials. Ageing Res. Rev. 72, 101479 (2021).Article 

PubMed 

Google Scholar 

van der Kolk, N. M. et al. Effectiveness of home-based and remotely supervised aerobic exercise in Parkinson’s disease: a double-blind, randomised controlled trial. Lancet Neurol. 18, 998–1008 (2019).Article 

PubMed 

Google Scholar 

Schenkman, M. et al. Effect of High-Intensity Treadmill Exercise on Motor Symptoms in Patients With De Novo Parkinson Disease: A Phase 2 Randomized Clinical Trial. JAMA Neurol. 75, 219–226 (2018).Article 

PubMed 

Google Scholar 

Uc, E. Y. et al. Phase I/II randomized trial of aerobic exercise in Parkinson disease in a community setting. Neurology 83, 413–425 (2014).Article 

PubMed 

PubMed Central 

Google Scholar 

Carskadon, M. A. et al. A pilot prospective study of sleep patterns and DNA methylation-characterized epigenetic aging in young adults. BMC Res. Notes 12, 583 (2019).Article 

PubMed 

PubMed Central 

Google Scholar 

Waziry, R. et al. Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial. Nat. Aging 3, 248–257 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Kwon, D. & Belsky, D. W. A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. Geroscience 43, 2795–2808 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Fiorito, G. et al. DNA methylation-based biomarkers of aging were slowed down in a two-year diet and physical activity intervention trial: the DAMA study. Aging Cell 20, e13439 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Agarwal, P. et al. Association of Mediterranean-DASH Intervention for Neurodegenerative Delay and Mediterranean Diets With Alzheimer Disease Pathology. Neurology 100, e2259–e2268 (2023).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Fitzgerald, K. N. et al. Potential reversal of epigenetic age using a diet and lifestyle intervention: a pilot randomized clinical trial. Aging 13, 9419–9432 (2021).Article 

CAS 

PubMed 

PubMed Central 

Google Scholar 

Download referencesAcknowledgementsThis manuscript is supported by the National Key Research and Development Program Foundation of China (2023YFC3605400) and Natural Science Foundation of China (92249305, 82171418).Author informationAuthor notesThese authors contributed equally: Qiu Jiang, Jie LiuAuthors and AffiliationsDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, ChinaQiu Jiang, Jie Liu, Shan Huang, Jun Wang & Yan-Jiang WangChongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, ChinaQiu Jiang, Jie Liu, Shan Huang, Jun Wang & Yan-Jiang WangChongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing, ChinaXuan-Yue Wang & Xiaowei ChenBrain Research Center, Third Military Medical University, Chongqing, ChinaXiaowei ChenUniversity of Chinese Academy of Sciences, Beijing, ChinaGuang-Hui LiuState Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, ChinaGuang-Hui LiuFaculty of Life and Health Sciences, and Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaKeqiang YeInstitute of Aging, Key Laboratory of Alzheimer’s Disease of Zhejiang Province. Zhejiang Clinical Research Center for Mental Disorders, School of Mental Health and The Affiliated Kangning Hospital, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, Zhejiang, ChinaWeihong SongThe Florey Institute, The University of Melbourne, Parkville, VIC, AustraliaColin L. MastersState Key Laboratory of Trauma and Chemical Poisoning, Chongqing, ChinaYan-Jiang WangAuthorsQiu JiangView author publicationsYou can also search for this author in

PubMed Google ScholarJie LiuView author publicationsYou can also search for this author in

PubMed Google ScholarShan HuangView author publicationsYou can also search for this author in

PubMed Google ScholarXuan-Yue WangView author publicationsYou can also search for this author in

PubMed Google ScholarXiaowei ChenView author publicationsYou can also search for this author in

PubMed Google ScholarGuang-Hui LiuView author publicationsYou can also search for this author in

PubMed Google ScholarKeqiang YeView author publicationsYou can also search for this author in

PubMed Google ScholarWeihong SongView author publicationsYou can also search for this author in

PubMed Google ScholarColin L. MastersView author publicationsYou can also search for this author in

PubMed Google ScholarJun WangView author publicationsYou can also search for this author in

PubMed Google ScholarYan-Jiang WangView author publicationsYou can also search for this author in

PubMed Google ScholarContributionsY.W., C.L.M., and J.W. conceptualized and supervised the manuscript. Q.J., J.L. and S.H. wrote the original draft. X.W. contributed to visualization. X.C., G.L., K.Y. and W.S. participated in review. All authors have read and approved the manuscript.Corresponding authorsCorrespondence to

Colin L. Masters, Jun Wang or Yan-Jiang Wang.Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissionsAbout this articleCite this articleJiang, Q., Liu, J., Huang, S. et al. Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances.

Sig Transduct Target Ther 10, 76 (2025). https://doi.org/10.1038/s41392-025-02145-7Download citationReceived: 01 August 2024Revised: 29 November 2024Accepted: 15 January 2025Published: 10 March 2025DOI: https://doi.org/10.1038/s41392-025-02145-7Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard

Provided by the Springer Nature SharedIt content-sharing initiative

Read full news in source page