Medicine and Health

Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations

M. A. Argentieri, S. Xiao, et al.

Discover the groundbreaking proteomic age clock developed using plasma protein data from the UK Biobank, validated across diverse populations. This innovative research by M. Austin Argentieri and colleagues highlights how proteomic aging can predict age-related functional status and mortality risk.

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Abstract

This study developed a proteomic age clock using plasma protein data from the UK Biobank (n=45,441) and validated it in Chinese (n=3,977) and Finnish (n=1,990) biobanks. The clock accurately predicted chronological age and was associated with the incidence of 18 major chronic diseases, multimorbidity, and all-cause mortality. The findings demonstrate that proteomic aging, involving proteins across multiple functions, can predict age-related functional status and mortality risk across diverse populations.

Publisher

Nature Medicine

Published On

Aug 08, 2024

Authors

M. Austin Argentieri, Sihao Xiao, Derrick Bennett, Laura Winchester, Alejo J. Nevado-Holgado, Upamanyu Ghose, Ashwag Albukhari, Pang Yao, Mohsen Mazidi, Jun Lv, Iona Millwood, Hannah Fry, Rodosthenis S. Rodosthenous, Jukka Partanen, Zhili Zheng, Mitja Kurki, Mark J. Daly, Aarno Palotie, Cassandra J. Adams, Liming Li, Robert Clarke, Najaf Amin, Zhengming Chen, Cornelia M. van Duijn

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