Related Experiment Videos
Cross-Sectional and Longitudinal Association Between Biological Aging Acceleration and the Risk of Osteoarthritis: A
Sisi Liu1,2, Weishu Wang1,2, Chengxu Li1,2
1Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Objective:
To evaluate the relationship between biological ages and the prevalence and incidence of osteoarthritis (OA).
Methods:
332 261 participants from UK Biobank were analyzed. Biological aging was measured using phenotypic age (PhenoAge) and Klemera-Doubal (KDMAge). KDMAge was derived from nine clinical biomarkers to gauge system integrity decline, while PhenoAge was computed from chronological age and nine clinical biomarkers to gauge mortality risk. Biological aging accelerations were computed as residuals from regressing KDMAge and PhenoAge against chronological age. The associations between biological aging and prevalence and incidence of OA were analyzed using logistic and Cox regression models.
Results:
At baseline, 55.4% of included individuals had younger PhenoAge aging acceleration. In cross-sectional analyses, individuals with accelerated aging had higher odds of OA compared to those with non-accelerated aging (odds ratios [OR]: 1.12 [95% CI: 1.09-1.14] for PhenoAge acceleration and 1.05 [1.03-1.08] for KDMAge acceleration). In the longitudinal analyses, increased PhenoAge acceleration was associated with a higher risk of incident OA (hazard ratios [HR]: 1.12 [1.10-1.15]). However, the association between KDMAge acceleration and the incidence of OA was not statistically significant (HR: 0.99 [0.97-1.01]). Accelerated biological aging showed a more pronounced association with OA among individuals > 60 years. No additive or multiplicative interactions were found between OA polygenic risk score (PRS) and biological aging.
Conclusion:
Advanced biological aging may increase the risk of OA, independent of OA genetic risk, particularly in individuals aged over 60 years. The two biological aging indicators hold potential as novel composite clinical biomarkers, directing prevention and intervention strategies for high-risk populations for OA.
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Aging
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
The Effect of Aging on Tissues
Longitudinal Research