Biological age threshold is associated with symptomatic knee osteoarthritis risk in chinese adults: Insights from machine learning analysis of a national cohort.

ABSTRACT:

Background

Symptomatic knee osteoarthritis (KOA) imposes a substantial global health and economic burden. Although chronological age (CA) is a key risk factor, it poorly reflects interindividual aging heterogeneity. Biological age (BA), which is quantified using blood biomarkers that reflect systemic physiological integrity, is a superior measure of functional decline and molecular aging. Mechanistically, BA may be linked to KOA pathogenesis via cellular senescence and senescence-associated secretory phenotype (SASP).

Objective

This study aimed to explore the association between BA and symptomatic KOA in a nationally representative Chinese cohort and to evaluate BA's utility of BA in enhancing KOA risk assessment.

Methods

We conducted a cross-sectional analysis using

SUBMITTER: Fu F 

PROVIDER: S-EPMC12711007 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature