12 Hallmarks of Cardiovascular Aging Mapped With Targets for Reversal
A landmark review identifies 12 molecular, cellular, and systemic hallmarks driving heart and vascular aging, plus therapeutic strategies to slow or reverse them.
Summary
Cardiovascular disease remains the world's top killer, and aging is its most powerful accelerant. This comprehensive review from Fudan University's Zhongshan Hospital synthesizes decades of research into a 12-hallmark framework for cardiovascular aging, stratified across molecular, cellular, and systemic levels. The authors detail five major etiology categories — lifestyle, metabolic disorders, environmental exposures, genetics/epigenetics, and host biology — that collectively accelerate heart and vascular decline beyond normal chronological aging. Key hallmarks include genomic instability, mitochondrial dysfunction, oxidative stress, cellular senescence, stem cell exhaustion, and dysregulated signaling via the renin-angiotensin-aldosterone system. The review then maps specific rejuvenation strategies — senolytics, energy-sensor pathway modulation, anti-inflammatory targeting, and lifestyle interventions — to these hallmarks, cataloging FDA-approved drugs and ongoing clinical trials relevant to each pathway.
Detailed Summary
Cardiovascular disease (CVD) is the leading cause of death globally, and aging is its single greatest nonmodifiable risk factor. Between 1990 and 2019, the global CVD patient population nearly doubled from 271 million to 523 million, while related deaths rose from 12.1 million to 18.6 million. Yet even as novel therapies have cut cardiovascular mortality, residual risk in older adults remains unacceptably high. This landmark review from Zhongshan Hospital, Fudan University — published in Signal Transduction and Targeted Therapy — attempts to consolidate the field's understanding of why and how hearts and vessels age, and what can realistically be done about it.
The authors open by cataloging five major etiology categories that accelerate cardiovascular aging beyond chronological time. Lifestyle factors include tobacco use, physical inactivity, poor diet, obesity, and psychological stress — each linked to accelerated biomarker aging, increased endothelial progenitor cell senescence, and elevated arterial stiffness. Metabolic disorders (hypertension, diabetes, dyslipidemia, metabolic syndrome, and chronic kidney disease) compound these effects. A machine-learning analysis of 39,559 UK Biobank participants demonstrated that cardiometabolic risk factors collectively and measurably advance a person's cardiovascular age beyond their chronological age. Environmental exposures, genetic and epigenetic factors, and sociodemographic variables complete the etiology framework, underscoring that cardiovascular aging is as much a product of lived experience as of biology.
The review's central intellectual contribution is a novel 12-hallmark framework stratified across three tiers. At the molecular level: genomic instability and epigenetic alterations, loss of proteostasis, mitochondrial dysfunction, oxidative stress, and inflammation. At the cellular level: cellular dysfunction, cellular senescence (marked by the senescence-associated secretory phenotype, SASP), and stem cell exhaustion. At the systemic level: metabolic reprogramming, renin-angiotensin-aldosterone system (RAAS) dysregulation, β-adrenergic signaling alterations, growth signaling changes, and mechanosignaling disruptions. This tiered structure clarifies not only the individual roles of each hallmark but also how they interact — cellular senescence, for instance, amplifies systemic inflammation through SASP, while mitochondrial dysfunction feeds back into oxidative stress and genomic damage.
The structural and functional changes cataloged include progressive arterial stiffening, myocardial fibrosis, reduced maximal heart rate (which declines linearly with age), endothelial dysfunction, and impaired vascular repair capacity. Hyperglycemia exacerbates endothelial aging via the apoptosis signal-regulating kinase 1 (ASK1) pathway and upregulation of plasminogen activator inhibitor-1 (PAI-1), identifying ASK1 as a specific therapeutic target. Hyperhomocysteinemia elevates VSMC senescence markers including SA-β-galactosidase, p53/p21, and p16, while also inactivating telomerase in endothelial cells and progenitor cells — compounding vascular senescence through multiple parallel mechanisms.
On the therapeutic side, the review maps six rejuvenation strategy classes to the hallmarks: targeting senescent cells (senolytics and senomorphics), adjusting energy sensor pathways (AMPK, mTOR, sirtuins), addressing central inflammatory pathways (targeting SASP and inflammasome components), modulating neurocardiological dynamics (RAAS and adrenergic axis interventions), adopting healthy lifestyles, and assessing and preventing the pace of aging using validated biomarkers including epigenetic clocks. The authors catalog FDA-approved drugs and active clinical trials relevant to each approach, providing a reference map for clinical translation. Importantly, they caution that senolytic agents — while promising — may impair tissue repair, and that the selective removal of senescent cells carries risks that must be weighed carefully in older or frail patients.
Key Findings
- Global CVD burden nearly doubled between 1990 and 2019, from 271 million to 523 million patients, with deaths rising from 12.1 million to 18.6 million annually.
- Machine-learning analysis of 39,559 UK Biobank participants confirmed that hypertension, diabetes, and dyslipidemia collectively and measurably accelerate cardiovascular biological age beyond chronological age.
- A novel 12-hallmark framework stratifies cardiovascular aging across molecular (genomic instability, proteostasis loss, mitochondrial dysfunction, oxidative stress, inflammation), cellular (dysfunction, senescence, stem cell exhaustion), and systemic (metabolic changes, RAAS, adrenergic, growth, and mechanosignaling) levels.
- Hyperglycemia drives endothelial aging via ASK1 pathway activation and PAI-1 upregulation, identifying ASK1 as a novel pharmacological target for diabetic vascular aging.
- Hyperhomocysteinemia in methionine-rich diet rat models elevates VSMC senescence markers (SA-β-galactosidase, p53/p21, p16), increases pulse pressure, promotes collagen deposition, and inactivates telomerase in endothelial cells.
- Smokers show significantly greater proportions of senescent and dysfunctional endothelial progenitor cells versus nonsmokers, along with heightened susceptibility to stress-induced premature senescence.
- Six therapeutic strategy classes mapped to hallmarks include senolytics, energy-sensor pathway modulation (AMPK/mTOR/sirtuins), anti-inflammatory targeting, neurocardiological modulation, lifestyle modification, and aging biomarker-guided prevention — with FDA-approved drugs and active clinical trials cataloged for each.
Methodology
This is a comprehensive narrative and synthesis review article, not an original clinical or experimental study. The authors draw on primary literature spanning mechanistic studies, animal models, observational cohorts (including a UK Biobank machine-learning analysis of 39,559 participants), and clinical trials. No formal meta-analytic statistical methods were applied; evidence quality is assessed qualitatively across study types. The review integrates findings from molecular biology, epidemiology, pharmacology, and clinical cardiology to construct its hallmark framework and therapeutic roadmap.
Study Limitations
As a narrative review, the paper does not apply systematic search or meta-analytic protocols, and evidence synthesis is qualitative rather than quantitative, limiting formal assessment of effect sizes across studies. Many of the mechanistic findings cited derive from animal models (murine, rat) whose direct translation to humans remains to be validated in large prospective trials. The authors acknowledge that senolytic therapies carry potential risks including impaired tissue repair, and that the complex, interconnected nature of aging hallmarks makes isolating single-target interventions challenging; funding was provided by the National Key Research and Development Program of China and the National Natural Science Foundation of China, with no reported conflicts of interest.
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