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
Tags
proteomic age clock
plasma protein data
UK Biobank
chronological age
chronic diseases
multimorbidity
mortality risk
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