Metabolic signatures derived from five epigenetic aging biomarkers show measurable associations with age-related disease, health decline, and modifiable lifestyle factors in a cohort of over 7,000 older adults. BMI, smoking, alcohol consumption, and physical activity emerge as the strongest lifestyle determinants of these metabolic aging signatures, with potential clinical utility for identifying individuals at higher risk of physiological decline.
Key Points
- Five epigenetic aging biomarkers exhibit distinct metabolic signatures correlating with clinical dis
- BMI shows strongest association with metabolic acceleration across all biomarker signatures
- Smoking, alcohol, and physical activity modify metabolic aging signatures; externally validated
Longevity Analysis
This research maps the biochemical landscape underlying epigenetic aging, revealing that metabolic state serves as both a mirror of biological age acceleration and a measurable lever for intervention. The identification of lifestyle factors—particularly body composition and movement patterns—as consistent modifiers of these metabolic signatures suggests that individuals can decode their aging rate through metabolic profiling and then act on specific, evidence-backed behaviors. The consistency across multiple epigenetic clocks and two independent cohorts indicates these metabolic patterns are robust markers of systemic decline, not statistical artifacts, making them potentially useful for personalizing longevity strategies and tracking whether interventions are working at the molecular level.
Original published by Wiley Aging Cell, by Xunying Zhao, Tianpei Ma, Maoyao Xia, Xinyang Dui, Yangdan Zhong, Xin Chen, Yang Qu, Bowen Lei, Qingwen Zhao, Xueyao Wu, Haiyu Yan, Xingyu Zhang, Ke Jiang, Lin Hu, Lu Long, Mengyu Fan, Jiaqiang Liao, Tao Zhang, Xia Jiang, Jiayuan Li, Ben Zhang .