Proteomic landscape of multidimensional aging phenotypes.

ABSTRACT:

Background

Proteomic signatures of aging hold promise for advancing our understanding of aging evaluation and guiding targeted therapy. Despite this potential, the proteomic landscape of multidimensional aging phenotypes remains inadequately characterized. We aimed to identify the potential proteomic biomarkers of aging process and decipher their molecular mechanisms.

Methods

We analyzed 2920 plasma proteomic biomarkers from 48,728 participants in the UK Biobank. The multidimensional aging phenotypes included Klemera and Doubal's method biological age (KDM-BA) acceleration, PhenoAge acceleration, frailty index, leukocyte telomere length (LTL), and healthspan. Two-sample Mendelian randomization (MR) analyses were performed to determine the causal effect of plasma proteome on

SUBMITTER: Cao Z 

PROVIDER: S-EPMC12535002 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature