Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, 230032, Anhui, China.
Clin Rheumatol. 2024 Dec;43(12):3615-3623. doi: 10.1007/s10067-024-07167-0. Epub 2024 Oct 5.
To evaluate the associations between biological aging, metabolic heterogeneity of obesity, and rheumatoid arthritis (RA).
This prospective cohort study analyzed 268,184 individuals from the UK Biobank. Biological age was estimated using phenotypic age (PhenoAge), Klemera-Doubal methods (KDM-BA), and telomere length. We calculated KDM-BA acceleration and PhenoAge acceleration after subtracting the effect of chronological age by regression residual. The metabolic heterogeneity of obesity can be evaluated by four BMI metabolic phenotypes, namely metabolically unhealthy normal weight (MUNW), metabolically healthy normal weight (MHNW), metabolically unhealthy overweight/obesity (MUOO), and metabolically healthy overweight/obesity (MHOO). Cox models were employed to estimate the associations between biological aging, metabolic heterogeneity of obesity, and RA risk.
A total of 2842 patients experienced RA during a mean follow-up time of 12.21 years. A standard deviation (SD) increase in KDM-BA acceleration and PhenoAge acceleration was associated with an increased risk of RA by 13% (hazard ratio = 1.13; 95% CI, 1.09-1.17) and 39% (HR = 1.39; 95% CI, 1.34-1.44), respectively. A SD increase in telomere length was associated with a reduced risk of RA by 5% (HR = 0.95; 95% CI, 0.91-0.98). Compared to the MHNW group, the MUOO group was associated with a 51% increase in the risk of incident RA. In the joint effect analysis, compared to the MHNW + KDM-BA younger subgroup, the HR (95% CI) for RA was 1.68 (1.48, 1.90) in the MUOO + KDM-BA older subgroup.
Accelerated biological aging may heighten the susceptibility to RA, particularly in individuals with obesity or metabolic dysfunction. Key Points •Accelerated biological aging increases the risk of developing RA. •Overweight/obese people with a healthy metabolism have a higher risk of RA than those with normal weight and healthy metabolism. •The BMI metabolic phenotype has a strong modifying effect on the association between KDM-BA/PhenoAge and RA risk.
评估生物老化、肥胖的代谢异质性与类风湿关节炎(RA)之间的关联。
本前瞻性队列研究分析了来自英国生物库的 268184 名个体。使用表型年龄(PhenoAge)、Klemera-Doubal 方法(KDM-BA)和端粒长度来估计生物年龄。通过回归残差减去年龄的影响,我们计算了 KDM-BA 加速和 PhenoAge 加速。肥胖的代谢异质性可以通过四个 BMI 代谢表型来评估,即代谢不健康的正常体重(MUNW)、代谢健康的正常体重(MHNW)、代谢不健康的超重/肥胖(MUOO)和代谢健康的超重/肥胖(MHOO)。Cox 模型用于估计生物老化、肥胖的代谢异质性与 RA 风险之间的关联。
在平均 12.21 年的随访期间,共有 2842 名患者发生 RA。KDM-BA 加速和 PhenoAge 加速每增加一个标准差,RA 的风险分别增加 13%(风险比=1.13;95%CI,1.09-1.17)和 39%(HR=1.39;95%CI,1.34-1.44)。端粒长度每增加一个标准差,RA 的风险降低 5%(HR=0.95;95%CI,0.91-0.98)。与 MHNW 组相比,MUOO 组发生 RA 的风险增加了 51%。在联合效应分析中,与 MHNW+KDM-BA 年轻亚组相比,MUOO+KDM-BA 老年亚组发生 RA 的 HR(95%CI)为 1.68(1.48,1.90)。
加速的生物老化可能会增加患 RA 的易感性,尤其是在肥胖或代谢功能障碍的个体中。
关键点
• 加速的生物老化增加了患 RA 的风险。
• 代谢健康的超重/肥胖人群比代谢健康的正常体重人群患 RA 的风险更高。
• BMI 代谢表型对 KDM-BA/PhenoAge 与 RA 风险之间的关联具有很强的修饰作用。