Predicting healthspan and disease risks through biological age.

Gen Li, Linling Cheng, Io Nam Wong, Yun Yin, Jie Chen, Li Liu, Kang Zhang

State Key Laboratory of Eye Health, Clinical Data Science Institute, Institute for Advanced Study on Eye Health and Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.State Key Laboratory of Eye Health, Clinical Data Science Institute, Institute for Advanced Study on Eye Health and Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China. · pubmed

Paper

Abstract

Aging is the gradual decline in physiological function essential for survival and reproduction. Unlike age-associated diseases, aging affects all individuals within a species, causing progressive impairments across multiple systems. Research shows that altering specific genes or dietary factors can extend lifespan, implicating molecular pathways in controlling senescence. Chronological age (CA) is a common measure of aging, but other hallmarks like telomere shortening better quantify functional decline. Identifying age-related hallmarks can help manipulate aging, spurring interest in aging clocks. These clocks predict biological age (BA) more precisely than CA, reflecting actual physiological health. As global life expectancy continues to rise, aging clocks hold promise for developing therapies to extend healthspan and improve life quality during aging.

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Research summary

The paper claims that biological age can be predicted more accurately than chronological age, which may help in extending healthspan and improving quality of life during aging. The focus on biological age and aging clocks directly addresses the mechanisms of aging, making it relevant to longevity research.

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