npj Aging

Apigenin is an abundant, bioactive phytochemical with reported therapeutic potential and neuroprotective effects in a variety of age-related disease models. However, the extent to which apigenin may promote healthspan and protect against neurodegeneration-associated proteotoxicity has not been thoroughly investigated, and the biological processes/mechanisms that underlie its protective effects remain unclear. To determine if apigenin increases healthspan, we performed lifespan assays in conjunction with measures of aging-relevant physiological function in wild-type C. elegans. We found that chronic exposure to apigenin extended median lifespan and improved multiple readouts of healthspan, including pharyngeal pumping, locomotor activity, and age-related macromolecular damage accumulation. Additional analyses of transgenic reporter strains and transcriptomic profiling (RNA-seq) indicated that apigenin primarily modulated redox-sensitive stress signaling and pathways associated with cellular homeostasis in aging animals. Finally, in transgenic C. elegans strains expressing the pathological Alzheimer's disease-associated proteins amyloid-beta or tau, we found that apigenin had similar beneficial effects on lifespan, healthspan, and proteotoxicity-associated functional impairments. Together, our results support apigenin as a potential healthspan-promoting intervention that acts in part through reductions in oxidative stress-associated signaling, with beneficial effects that extend to models of Alzheimer's disease-associated proteotoxicity.

Single cell foundation models (scFMs) provide representations of cellular states, but their utility across biological questions in aging research remains unclear. We established a benchmark of cellular representations for aging research, evaluating ten general-purpose scFMs, three aging-specific models and conventional methods across five biological questions using more than 2.5 million single cell transcriptomes. Using frozen pretrained representations, Geneformer performed best among scFMs for chronological age prediction and age pseudotime concordance, although 2,000 highly variable genes achieved higher mean performance. Several scFMs captured positive molecular age shifts across three disease contexts, consistent with reported aging-associated changes. SCimilarity performed well for rare cellular state identification across out-of-distribution datasets, exceeding aging specific models and conventional baselines. At the gene level, scGPT showed the highest recovery of reference TF target interactions, including aging-related regulatory hubs. Overall, scFMs supported diverse aging analyses, but performance depended on the biological question, highlighting their utility for rare cellular state identification and regulatory analysis.

Whether the nodal vulnerability in dementia is solely represented by changes in cellular abundance or attrition of cellular transcriptomic landscape attribute to that transition in aging brain is yet to uncover with minutiae. To understand this complication, we have analyzed two snRNA-seq data specific to (I) dorsolateral prefrontal cortex (DLPFC): A comprehensive study of cellular profiling among cognitively normal and pathological ageing and dementia (AD) brain, (II) occipital cortex (OC) in the context of Nasu-Hakola disease along with a tissue level bulk RNA-seq data corresponds to temporal cortex. We pinpoint cellular subpopulations their proportional changes within the nodal points and their transcriptomic profiling. In DLPFC we observed alteration of mitochondrial and synaptic maintenance program in the pathological manifestation of disease. In OC we noticed depleted upper layer CUX2 neuron, PVALB and SST neurons on the contrary an enrichment of RORB and LAMP5 neurons with compromised metabolic states in the disease context. Glial populations are marked by representation of fibrous astrocyte, neuronal-supporting subpopulations associated with extracellular matrix remodeling programs. Proportional increment of intermediate myelinating oligodendrocyte and a decrease in mature myelinating subpopulation highlighted a compromised myelin repair attempt. In temporal cortex at tissue level we observed transcriptomic landscape adopted a neuroglial phenotypes in dementia brain. Cell-Chat analysis demonstrated a shift in cellular coordination towards glial population from neuron in NHD brain. A single cell-based drug reprofiling approach identified efatutazone and balaglitazone as broad-spectrum candidates for major cell types in occipital cortex, whereas major actionable biological targets belong to CDK subtypes and proteasome subunits. Overall, our findings imply cellular persistence do not necessarily substantiate molecular preservation, also the coexistence of cellular vulnerability alongside selective remodeling features, present a cellular framework on how to cope up with degenerative changes.

Antigen-recognition histories accumulate across adult life, but existing human aging resources largely emphasize host-state measurements rather than antigen-resolved humoral memory. We present CHAIR, the Chinese Healthy Aging Immune Resource, which integrates self-antigen, human virome and toxin/virulence-factor PhIP-seq with routine clinical measurements and T/B/NK phenotyping in clinically screened adults aged 20-94 years. The resource framework includes 1,008 unique PhIP-seq samples, 995 clinical records, 977 T/B/NK records and 853 participants with all three layers. Across modeled spaces comprising 23,584 self-antigen targets, 210 virome targets and 1,258 virulence-factor source targets, most measured antibody-reactivity architecture was consistent with broad preservation within domains, whereas age- and sex-associated signals were concentrated in focal targets and modules. Together, CHAIR provides a traceable, antigen-resolved reference framework based on clinically screened adults for investigating focal humoral remodeling across healthy adult aging.

Human brain aging is frequently studied in model mammals that rarely show the natural age-related neurodegenerative conditions that afflict humans, yet little is known about how genomic stability compares across species during aging. Although somatic single nucleotide variant (SNV) and short insertion/deletion (Indel) mutations accumulate at rates that inversely scale to lifespan in colon cells - leaving diverse mammals with similar end-of-life burdens of mutations - here we show that cerebral cortical neurons accumulate SNVs at annual rates that are remarkably similar across six mammalian species (human, chimpanzee, rhesus macaque, marmoset, ferret, mouse) resulting in >12-fold more mutations in human neurons at the end of life compared to mouse neurons. Despite the conservation of overall annual mutation accumulation rates, mutational patterns--and hence likely mutagenic mechanisms--show sharp differences between species, with a nucleotide substitution pattern linked to neurodegenerative diseases accumulating almost exclusively in humans during aging. Coinciding with their higher mutational burden, single-nucleus transcriptomic analyses reveal pervasive age-associated proteostasis and mitochondrial dysregulation in human neurons that is far less pronounced in aged chimpanzees and rhesus macaques. These findings show that the pervasive effects of human neuronal aging might be linked to our long lifespan and are therefore not evident in animal models.

Hallmarks of biological ageing are closely interconnected with neurodegenerative diseases. Deoxyribonucleic acid methylation (DNAm) clocks quantify biological age and may serve as peripheral biomarkers of neurodegenerative diseases. This systematic review and meta-analysis aim to examine associations between DNAm-based biological age metrics and neurodegenerative diseases. Six databases were systematically searched from 1st January 2011 to 15th April 2026 for studies reporting associations between DNAm-based ages and neurodegenerative diseases including all-cause dementia, Parkinson's Disease, Multiple Sclerosis, and Amyotrophic Lateral Sclerosis. Correlated-and-hierarchical-effects meta-analyses were fitted using restricted maximum likelihood with Knapp-Hartung adjustment. Of 42,023 records screened, 37 observational studies (n=46365; 60.5% female; median of mean age 69.4 years [IQR 62.5-73.3)) and seven Mendelian randomization studies met inclusion criteria. In longitudinal meta-analyses, higher GrimAge epigenetic age acceleration (EAA) was significantly associated with higher dementia risk (HR per SD 1.11 [95% CI 1.02-1.20]; I^2 = 0.0%; p = 0.018), whereas Horvath1 EAA, Hannum EAA, PhenoAge EAA, and DunedinPACE were not significantly associated with dementia risk. Evidence for other neurodegenerative diseases were heterogeneous across clock generations and study designs. Mendelian randomization provided limited evidence for causality. Higher GrimAge EAA was the only DNAm age measure consistently predictive of higher all-cause dementia risk. Overall, however, DNAm age clocks show limited and inconsistent associations with neurodegenerative diseases, providing insufficient support for their use as disease biomarkers. These findings highlight the need to develop and independently validate disease-specific DNAm clocks and undertake pathway analyses to identify methylation changes associated with neurodegeneration and the biological processes they reflect.

Biological aging, the decline in physiological resilience that increases our vulnerability to disease and death as we grow older, can be measured from standard clinical-laboratory panels. Measurement of biological aging from laboratory data embedded in electronic health records (EHRs) could enhance precision healthcare. However, suitability of EHR-embedded laboratory records for this purpose is uncertain. We evaluated feasibility of EHR biological age measurement in a cohort of n=4,313 cardiothoracic-surgery patients at a large US Hospital and tested whether measured biological aging was associated with patient outcomes. Patients who were biologically older prior to surgery more often died or experienced adverse outcomes as compared to those measured to be biologically younger. Postoperative biological-aging trajectories were associated with length of intensive-care-unit (ICU) stays and in-hospital death. EHR laboratory data provide an opportunity for scalable implementation of biological aging measurement within healthcare systems, with potential to enhance patient monitoring and risk stratification.

Identifying early life biomarkers of suboptimal aging trajectories could help design interventions to delay or even prevent the onset of pathological conditions in older adulthood. To address this issue, we capitalize on evidence that the prevalence rates and presentation of neurodevelopmental and neurodegenerative conditions tend to vary between males and females, thereby raising the possibility that processes involved in sexual differentiation could help connect brain maturation and aging outcomes. Here, we focus on attention deficit hyperactivity disorder (ADHD), a neurodevelopmental condition with male-biased prevalence, and examine the relevance of its genetic risk and functional brain profile to aging outcomes. We analyzed multimodal data from a child sample enriched in ADHD cases and a neurologically intact adult sample. Among 6-to-12-year-olds (N =522), genetic vulnerability to pathological aging, indexed via polygenic risk scores (PRSs) for Alzheimer's Disease (AD), predicted ADHD diagnosis across sexes, regardless of psychiatric history and PRSs for multiple disorders (including ADHD). Irrespective of age, boys and girls diagnosed with ADHD showed preferential alignment with male-, rather than female-, typical functional connectivity patterns in metabolically active transmodal areas which are enriched in 5-HT2,4, D1, and mGLU5 receptors. In an independent sample aged 36-90 years (N = 345), the ADHD brain profile correlated with higher levels of testosterone, physiological markers of reproductive aging and poorer performance on AD-relevant cognitive tasks among older individuals of either sex. Our results imply that neurodevelopmental conditions could provide insights into vulnerability to suboptimal aging trajectories and could help guide early interventions targeting at-risk individuals.

Aging disrupts neural function, but whether impaired noradrenergic control of brain metabolism contributes to functional decline remains unclear. Using genetically encoded fluorescent sensors we measured metabolic and signaling responses in neurons and glia of living Drosophila brains following stimulation with octopamine, the invertebrate analogue of noradrenaline. Aging was accompanied by neurodegeneration, reduced locomotion and enhanced oxidative whole-brain metabolism. Octopamine increased D-glucose uptake selectively in astrocytes and elevated L-lactate in both astrocytes and neurons, consistent with astrocytic glycolysis coupled to neuronal L-lactate uptake; monocarboxylate transporter inhibition caused selective astrocytic L-lactate accumulation. In aged animals octopamine-evoked metabolic responses in astrocytes and neural Ca2+ transients were markedly reduced. This impairment was associated with lower expression of adrenoceptor-like tyramine 1 receptor (Tyr1R). Selective Tyr1R overexpression in (nor)adrenergic-like Tdc2 neurons prolonged lifespan, restored Ca2+ signalling and improved locomotor performance. These findings identify Tyr1R-dependent Ca2+ signalling as an age-sensitive regulator of brain metabolism and motor function.

Despite the numerous benefits associated with higher dietary quality, many older Veterans do not meet national dietary recommendations. Existing programs are not typically tailored for older Veterans who may experience physical and environmental limitations that hinder their ability to access and prepare healthy foods. This project piloted the incorporation of age-friendly, tailored, virtual nutrition education into an existing health promotion program for older Veterans. Programming followed an iterative design process over two years. Year 1 included 14 weeks of virtual nutrition education on healthy aging paired with weekly produce bags and recipe suggestions. In Year 2, virtual nutrition education shifted to more hands-on learning emphasizing basic meal preparation and adaptive cooking strategies for mobility limitations. Produce distribution in Year 2 shifted to a farmer's market model, based on feedback from year 1, allowing participants to self-select items. Primary outcomes included program satisfaction, dietary intake assessed via 24-hour recall to calculate the Healthy Eating Index (HEI-2015), and health-related quality of life (PROMIS Global Health). Findings demonstrate the feasibility and acceptability of a virtual nutrition program incorporating age-friendly cooking instruction and adaptive strategies to improve dietary quality among older Veterans.

Individuals with Down syndrome (DS) exhibit accelerated biological aging and unique patterns in disease prevalence. However, empirical characterizations of relative risk and age at onset of disease in this population are not common. Here we aimed to quantify the difference in risk and timing of age-related conditions between individuals with DS when compared to typically developing (TD) matched controls. We used semiparametric Cox proportional hazards models and Restricted Mean Event-Free Age (RMEA) to estimate differences in risk and approximate average age at onset of cataracts, cognitive decline, death, menopause, and osteoporosis. Individuals with DS were at higher risk of all age-related conditions or events and experienced these events at younger ages, excluding menopause. We observed a 24.5-fold higher risk of cognitive decline in individuals with DS (p<0.001), and between a 2- and 4-fold higher risk of the other age-related events or conditions (p<0.01). Cognitive decline and death occurred more than 14 years earlier in individuals with DS and were more likely to co-occur (p<0.001) compared to in TD individuals. These findings have important implications for tailored screening and prevention efforts in aging individuals with DS, as this population experiences a distinct cadence of age-related events.

Frailty reflects declining physiological reserve across multiple organ systems with aging, yet the underlying biological mechanisms contributing to frailty remain poorly understood. We tested whether somatic mutations in the blood were associated with incident frailty and faster progression in 730,088 participants from UK Biobank, All of Us, BioVU and the Womens Health Initiative. We found that clonal hematopoiesis of indeterminate potential (CHIP) and autosomal mosaic chromosomal alterations showed strong associations with frailty, whereas mosaic loss of chromosome X or Y did not. Findings were consistent across survey-based, directly measured and clinically assessed frailty, as well as healthspan phenotypes. A Tet2 mouse model demonstrated multisystem frailty-like functional decline and T-cell remodeling. In humans, T-cell activation-related proteins directly mediated the association between clonal hematopoiesis and frailty. Collectively, these findings support a model in which clonal hematopoiesis accelerates biological aging through immunosenescence.

Retinal vascular features are proposed biomarkers of systemic health, yet their longitudinal behaviour and relationship to systemic health remain poorly understood. We quantified retinal vascular morphology from serial colour fundus photographs in the Canadian Longitudinal Study on Aging, including 21,562 participants at baseline with good quality images. On average, vascular complexity and density decreased between baseline visit and follow-up 2 (mean interval 5.7 years), whereas tortuosity, arteriolar widths, and venular widths increased. Baseline vascular features were associated with demographic, cardiovascular, metabolic and behavioural traits, whereas altered longitudinal trajectories were associated principally with older age and higher low-density lipoprotein cholesterol. Within-person increases in mean arterial pressure covaried with lower vascular complexity, density and vessel widths. In survival analyses, independently of baseline vascular features, increases in fractal dimension were associated with lower hazard of subsequent all-cause mortality (hazard ratio = 0.92 per standard deviation, 95% confidence interval (CI) = 0.86 - 0.98), whereas arteriolar widening was associated with higher mortality (hazard ratio = 1.09, 95% CI = 1.02 - 1.17). No retinal change metric was associated with major adverse cardiovascular events after false-discovery-rate correction. These findings identify retinal vascular remodelling as a dynamic phenotype associated with systemic health and subsequent mortality, and motivate evaluation of multi-time-point retinal imaging in oculomics.

Purpose: The neural retina and retinal pigment epithelium/choroid (RPE/Cho) are metabolically coupled. Metabolic dysfunction of the RPE/Cho contributes to photoreceptor death in age-related macular degeneration (AMD). This study aimed to determine how aging, a major risk factor for AMD, alters the proteome and metabolic pathways in the retina and RPE/Cho. Methods: We performed quantitative proteomics on neural retina and RPE/Cho from young (8-week) and old (73-week) C57BL/6J mice. The differentially expressed proteins between old and young, as well as between the retina and RPE/Cho, were visualized using volcano plots and heatmaps, and functional analyses were assessed by Gene Ontology enrichment tools. Results: Aging altered the expression of 85 retinal proteins and 272 RPE/Cho, with 16 shared between tissues. In the aged retina, proteins associated with NADP(H) metabolism, neurodegeneration, and immunity were mostly upregulated, while proteins in lipid metabolism, transcription, and epigenetic regulation decreased. In the aged RPE/Cho, all 21 significantly altered lysosomal enzymes and transport proteins increased, together with complement components, and photoreceptor outer segment proteins. These changes accompanied increases in proteins associated with lipid metabolism and protection against lipid peroxidation, while several glutathione metabolism enzymes decreased. Seven shared proteins involved in lipid and NADP(H) metabolism, changed in opposite directions between retina and RPE/Cho. Comparison of the retinal and RPE/Cho proteomes identified 3073 differentially abundant proteins, of which 2452 maintained tissue-specific differences across both age groups, while approximately 17% showed age-dependent shifts in tissue enrichment. These shifts involved proteins associated with metabolism, extracellular matrix, visual function, lysosomal pathways, and innate immunity. Within the metabolic proteome, several glycolytic and fatty acid oxidation proteins showed greater relative enrichment in RPE/Cho with age, whereas glucose transporters and mitochondrial complexes shifted toward the retina. Conclusions: Overall, these findings show that aging differentially remodels the retina and RPE/Cho proteome, accompanied by altered metabolic specialization between the two tissues.

Aging progresses asynchronously across organs, motivating the development of organ-resolved aging clocks. Direct assessment of organ aging in living humans, however, is largely impractical. Here, we construct tissue-specific transcriptomic aging clocks and infer organ biological age from paired whole-blood (blood-organ age) and tissue RNA sequencing data in the GTEx project. We observe high variability both in the strength of aging signatures across organs and in the ability to predict organ age and organ scores from blood. Pathway analysis shows that organ aging clocks are dominated by biological processes that differ across tissues. Age-associated multi-organ modules identified in an aging multi-organ network correlation analysis and organ age features causally mediated through organ-blood-organ transcriptomic interactions support a role for systemic signaling in coupling organ aging processes. Given the established role of cellular senescence as a driver of tissue dysfunction and its tissue-specific accumulation during aging, we extend this framework to estimate burden of organ-level senescence and hallmarks of aging. Using senescence- and hallmark-associated gene sets, we derive tissue-specific senescence and hallmark scores (organ scores) and demonstrate that these burdens across multiple organs can be inferred from blood transcriptomes (blood-organ scores). Finally, in pursuit of extending these models to other blood omics and alternative non-invasive assessments, we evaluate whether blood methylation (methylation-blood-organ age and scores) and facial photographs (facial-blood-organ age and scores) can serve as proxies for blood-organ age and blood-organ scores in independent cohorts (Edifice Health and Health and Retirement Study). The methylation- and facial-blood-organ age and scores were associated with mortality in additional testing cohorts (Framingham Heart Study and IMDB-WIKI dataset). These results establish a cross-modal framework for inferring organ-specific aging and senescence from minimally invasive data.

Aims: Premature coronary artery disease (PCAD) lacks specific molecular drivers, and the role of immunosenescence is unclear. We investigated whether aging-related gene dysregulation in T cells contributes to PCAD. Methods: We combined bulk transcriptomics of PBMCs from 12 PCAD patients and 21 controls, single-cell RNA sequencing of PBMCs and human atherosclerotic plaques, weighted gene co-expression network analysis, gene perturbation network analysis, and molecular docking. Results: KRAS was identified as a hub gene intersecting PCAD-associated genes and aging-related genes. Single-cell analysis showed KRAS upregulation predominantly in effector CD8+ T cells, which exhibited the highest senescence scores that were further elevated in disease. Network perturbation of KRAS strongly impacted the cell killing pathway. KRAS-high effector CD8+ T cells were detected in coronary and carotid plaques, displaying enhanced cytotoxicity, exhaustion, and senescence features. Additionally, a candidate small molecule was computationally predicted to bind inactive KRAS. Conclusions: Elevated KRAS expression in senescent, cytotoxic CD8+ T cells is associated with PCAD, bridging immunosenescence and premature atherosclerosis. This finding provides a novel biomarker candidate and potential therapeutic entry point, awaiting further functional validation.

Proteomic aging clocks have emerged as biomarkers of aging, but most rely on cross-sectional data. Here, we present a proteomic aging clock based on longitudinal measurements of liquid chromatography-mass spectrometry plasma proteomics at up to three time points in the population-based KORA cohort, comprising 9,105 samples from 4,100 individuals in the final dataset aged 25-88 years. The model predicts chronological age and yields a measure of proteomic age acceleration associated with lifestyle and clinical risk factors. Risk factor-stratified analyses reveal shared proteomic signatures among cardiometabolic exposures and distinct signatures for smoking and physical activity. Within individuals, dyslipidemia and impaired kidney function track transitions to increases in age acceleration, while higher age acceleration is associated with increased all-cause mortality. Mediation analysis suggests that risk factors are linked to mortality indirectly through age acceleration. Affected proteins and pathways highlight extracellular matrix remodeling, complement and coagulation pathways, and liver-derived plasma proteins as key contributors to aging. Mendelian randomization identifies proteins with evidence consistent with a causal role in aging-related traits. Together, these findings are consistent with biological aging being dynamically responsive to changes in modifiable risk factors.

Age-related cognitive decline in humans is well established, yet how neurobiological variations influence brain dynamics, and subsequently behavioral performance, remains insufficiently explored. Microscale accounts of cognitive aging revolve around attenuations in dopamine (DA) receptors and transporters (DAT). In contrast, macroscale accounts associate individual declines in cognitive performance with functional brain networks' reorganization and white-matter tracts' deterioration. We endeavor to bridge this gap with an amortized dopaminergic aging model (ADAM) which assembles aging brain twins by coupling dopaminergic modulation with structural connectomes to constrain emergent whole-brain dynamics. ADAM thereby augments established DAT decline with personalized estimates, through a reusable and generalizable estimator capable of disentangling neuromodulatory from structural contributions to age-related decline within each individual. To that end, we embed structural connectomes into a low-dimensional space exhibiting high reconstruction fidelity and -pseudonymized- individual identifiability. The spectrum of structural embeddings is subsequently updated with fMRI observations to estimate DA clearance timescales in 3,650 adults aged 36 to 95 years across five independent aging cohorts. Our analysis reveals an age-related elevation of DA clearance timescales. Critically, low performers exhibit elevated clearance in adults with marked structural degradation, and only within sliding age windows centred between 56 and 76 years. This supports a contribution of dopamine to aging, and reveals a structure- and age-conditional association between its clearance and cognitive performance. Our findings suggest that structural connectivity gates the macroscale reach of dopaminergic modulation, thus rendering the gain-control framework of neuromodulation mechanistically explicit across individuals and cohorts. ADAM therefore provides a biologically plausible framework that anchors interindividual variability in cognitive aging to perturbations in the dopaminergic system by learning cohort-scale mappings which can be shared across sites, establishing a transferable testbed for precision neuromodulation and future in-silico pharmacological trials.

INTRODUCTION: Dementia research in sub-Saharan Africa remains limited despite rapid population aging and substantial ancestral, environmental, and vascular diversity. The Study of Ancestry, Health, Environment, and Late-Life Neurodegeneration (SAHEL) characterizes late-life cognitive decline and neurodegeneration in north-eastern Nigeria. METHODS: SAHEL comprises community and hospital cohorts of adults aged 55 years or older in Yobe and Borno States. Participants undergo cognitive, functional, environmental, cardiovascular, metabolic, neuropsychiatric, and neurological assessments. Blood is collected for clinical profiling and biobanking, and consenting hospital participants provide skin biopsies for induced pluripotent stem cell generation. Planned analyses will integrate gut microbiota profiling, retinal imaging, and brain magnetic resonance imaging to investigate biological pathways and markers associated with healthy aging and cognitive outcomes. RESULTS: From August 2025 through February 2026, 1,044 community participants were screened (mean age, 69.4 years; 56.4% female); 379 (36.3%) screened positive for cognitive concern and entered longitudinal follow-up. The hospital cohort enrolled 102 participants (mean age, 73.5 years; 57.8% male), including participants with Alzheimers disease, vascular dementia, mixed dementia, and mild cognitive impairment. Blood was collected from 809 community participants and all hospital participants. The cohort includes Kanuri, Fulani, Hausa, Babur/Bura, and Shuwa Arab participants. DISCUSSION: SAHEL has established a large, deeply characterized aging and dementia research platform in north-eastern Nigeria. Its linked clinical, environmental, biomarker, genomic, imaging, microbiome, and cellular resources will enable investigation of population-specific risk and resilience mechanisms and strengthen dementia research and precision medicine in African populations.

Environmental conditions experienced early in life have profound consequences for vertebrate health, yet the molecular pathways linking developmental stress to aging and reduced lifespan remain poorly understood. Through a novel highly accurate epigenetic clock, developed from RRBS-based blood DNA methylation profiles, we show that experimental lifespan-reducing early-life stress rapidly accelerates epigenetic age in zebra finch chicks (Taeniopygia guttata). Corticosterone-treated 29-day-old chicks share differentially methylated loci with non-treated aged birds and cluster with 6-month-old birds. The transcriptional repressor ZBTB16 emerges as an epigenetically top age-correlated gene and is strongest affected by corticosterone. Elevated developmental corticosterone causes rapid epigenetic remodelling of metabolic pathways well-established in aging and longevity. Our results demonstrate epigenetic rewiring of the aging trajectory through conserved stress-survival mechanisms immediately following elevated early-life stress exposure.