Proteomic aging clock (PAC) predicts age-related outcomes in middle-aged and older adults.

Autor: Kuo CL; Department of Public Health Sciences, University of Connecticut Health Center, Farmington, Connecticut, USA.; The Cato T. Laurencin Institute for Regenerative Engineering, University of Connecticut Health Center, Farmington, Connecticut, USA.; UConn Center on Aging, University of Connecticut Health Center, Farmington, Connecticut, USA., Chen Z; UConn Center on Aging, University of Connecticut Health Center, Farmington, Connecticut, USA., Liu P; The Cato T. Laurencin Institute for Regenerative Engineering, University of Connecticut Health Center, Farmington, Connecticut, USA., Pilling LC; Epidemiology and Public Health Group, Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK., Atkins JL; Epidemiology and Public Health Group, Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK., Fortinsky RH; UConn Center on Aging, University of Connecticut Health Center, Farmington, Connecticut, USA., Kuchel GA; UConn Center on Aging, University of Connecticut Health Center, Farmington, Connecticut, USA., Diniz BS; Department of Public Health Sciences, University of Connecticut Health Center, Farmington, Connecticut, USA.; UConn Center on Aging, University of Connecticut Health Center, Farmington, Connecticut, USA.; Department of Psychiatry, University of Connecticut Health Center, Farmington, Connecticut, USA.
Jazyk: angličtina
Zdroj: Aging cell [Aging Cell] 2024 Aug; Vol. 23 (8), pp. e14195. Date of Electronic Publication: 2024 May 15.
DOI: 10.1111/acel.14195
Abstrakt: Beyond mere prognostication, optimal biomarkers of aging provide insights into qualitative and quantitative features of biological aging and might, therefore, offer useful information for the testing and, ultimately, clinical use of gerotherapeutics. We aimed to develop a proteomic aging clock (PAC) for all-cause mortality risk as a proxy of biological age. Data were from the UK Biobank Pharma Proteomics Project, including 53,021 participants aged between 39 and 70 years and 2923 plasma proteins assessed using the Olink Explore 3072 assay®. 10.9% of the participants died during a mean follow-up of 13.3 years, with the mean age at death of 70.1 years. The Spearman correlation between PAC proteomic age and chronological age was 0.77. PAC showed robust age-adjusted associations and predictions for all-cause mortality and the onset of various diseases in general and disease-free participants. The proteins associated with PAC proteomic age deviation were enriched in several processes related to the hallmarks of biological aging. Our results expand previous findings by showing that biological age acceleration, based on PAC, strongly predicts all-cause mortality and several incident disease outcomes. Particularly, it facilitates the evaluation of risk for multiple conditions in a disease-free population, thereby, contributing to the prevention of initial diseases, which vary among individuals and may subsequently lead to additional comorbidities.
(© 2024 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.)
Databáze: MEDLINE
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