Accelerated biological aging as a potential risk factor for rheumatoid arthritis

Author:

Dan Yi‐Lin12ORCID,Yang Yi‐Qun12,Zhu Dong‐Cheng3,Bo Lin4,Lei Shu‐Feng12ORCID

Affiliation:

1. Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University, Center for Genetic Epidemiology and Genomics, School of Public Health Suzhou Medical College of Soochow University Suzhou Jiangsu China

2. Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology Soochow University Suzhou Jiangsu China

3. Department of Orthopedics Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University Suqian Jiangsu China

4. Department of Rheumatology The Second Affiliated Hospital of Soochow University Suzhou Jiangsu China

Abstract

AbstractObjectsPrevious studies have suggested a potential correlation between rheumatoid arthritis (RA) and biological aging, but the intricate connections and mechanisms remain elusive.MethodsIn our study, we focused on two specific measures of biological age (PhenoAge and BioAge), which are derived from clinical biomarkers. The residuals of these measures, when compared to chronological age, are defined as biological age accelerations (BAAs). Utilizing the extensive UK Biobank dataset along with various genetic datasets, we conducted a thorough assessment of the relationship between BAAs and RA at both the individual and aggregate levels.ResultsOur observational studies revealed positive correlations between the two BAAs and the risk of developing both RA and seropositive RA. Furthermore, the genetic risk score (GRS) for PhenoAgeAccel was associated with an increased risk of RA and seropositive RA. Linkage disequilibrium score regression (LDSC) analysis further supported these findings, revealing a positive genetic correlation between PhenoAgeAccel and RA. PLACO analysis identified 38 lead pleiotropic single nucleotide polymorphisms linked to 301 genes, providing valuable insights into the potential mechanisms connecting PhenoAgeAccel and RA.ConclusionIn summary, our study has successfully revealed a positive correlation between accelerated biological aging, as measured by BAAs, and the susceptibility to RA.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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