ArticleAging cell2025
Associations of combined accelerated biological aging and genetic susceptibility with incidence of heart failure in a population-based cohort study.
Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Liver-specific phenotypic aging, behavior and genetic risks, and long-term liver-related outcomes.GeroScience · 2026Article
- Phenotypic age acceleration and omega-6/omega-3 PUFA ratio in dynamic atrial fibrillation-heart failure transitions: a multistate analysis.The journal of nutrition, health & aging · 2026Article
- Global heart failure incidence rate: an updated systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
- Biological aging, left ventricular dysfunction and mortality in patients with heart failure with preserved ejection fraction.npj aging · 2025Article
- Association of biological aging acceleration transitions and burdens with incident cardiovascular disease: longitudinal insights from a national cohort study.BMC medicine · 2025Article
- Biological Age Acceleration Associated with the Progression Trajectory of Cardio-Renal-Metabolic Multimorbidity: A Prospective Cohort Study.Nutrients · 2025Article
- Associations of combined accelerated biological aging and genetic susceptibility with incidence of heart failure in a population-based cohort study.Aging cell · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
The global aging population raises concerns about heart failure (HF), yet its association with accelerated biological age (BA) remains inadequately understood. We aimed to examine the longitudinal association between BA acceleration and incident HF risk, assess its modifying effect on genetic susceptibility, and how much BA acceleration mediates the impact of modifiable health behaviors on incident HF. We analyzed 274,608 UK Biobank participants without HF at baseline. Two BA accelerations (Biological Age Acceleration [BioAgeAccel] and Phenotypic Age Acceleration [PhenoAgeAccel]) were calculated by regressing clinical biomarker-based BA on chronological age, with higher values indicating accelerated aging. Health behavior scores were computed based on diet, physical activity, tobacco/nicotine, sleep, and BMI. Genetic risk scores (GRS) were calculated by 12 HF-associated loci. During a median follow-up of 13.5 years, 8915 HF cases were documented. Each standard deviation increase in BioAgeAccel and PhenoAgeAccel was associated with an increased incident HF risk, yielding HRs of 1.45 (95% CI, 1.42-1.48) and 1.42 (95% CI, 1.40-1.45), respectively. Participants with high GRS and highest quartile of BioAgeAccel had an HR of 2.69 (95% CI, 2.42-2.99), and for PhenoAgeAccel, an HR of 2.83 (95% CI, 2.52-3.18), compared to those with low GRS, and lowest quartile. Additive interactions were observed between GRS and BA accelerations. Health behaviors reduced HF risk, with 21.1% (95% CI, 19.5%-22.8%) mediated by decreased BioAgeAccel and 20.9% (95% CI, 19.5%-22.6%) by decreased PhenoAgeAccel. Accelerated BA is associated with an increased incident HF risk, with an additive effect when combined with genetic susceptibility. Maintaining health behaviors may help mitigate BA aging and reduce HF risk.
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