Yang Chengrui, Du Zhiguo, Ma Jing, Guo Lele, Zhang Huidong, Tian Yu, Zhao Jianyong
Cangzhou Hospital of Integrated Chinese and Western Medicine, Hebei Key Laboratory of Integrated Traditional and Western Medicine in Osteoarthrosis Research, Cangzhou, Hebei Province, China.
Medicine (Baltimore). 2025 Jun 20;104(25):e42901. doi: 10.1097/MD.0000000000042901.
Recent studies have highlighted potential links between air pollution and autoimmune diseases. However, the causal relationship between air pollution (including PM2.5, PM10, nitrogen dioxide, and nitrogen oxides) and rheumatoid arthritis (RA) remains unclear. To address this, we performed a two-sample Mendelian randomization (MR) analysis to assess the causal effects of air pollution on RA. Genome-wide association study data for air pollution metrics were utilized as exposures, while RA outcome data were sourced from European cohorts. Inverse variance weighting served as the primary method for causal estimation, supplemented by sensitivity analyses including weighted median, MR-Egger, weighted mode, and Bayesian weighted MR. All analyses were conducted using R software. Results from the inverse variance weighting method indicated no significant causal association between PM2.5 (odds ratio [OR] = 0.71, P = .183, 95% confidence interval [CI]: 0.27-1.91), PM10 (OR = 0.657, P = .143, 95% CI: 0.374-1.154), nitrogen dioxide (OR = 0.482, P = .163, 95% CI: 0.173-1.343), or nitrogen oxides (OR = 0.868, P = .782, 95% CI: 0.317-2.373), and RA risk. Sensitivity analyses confirmed robustness with no evidence of pleiotropy or heterogeneity (P > .05). This study provides the first MR evidence suggesting that air pollution may not exert a genetically predicted causal effect on RA, offering critical insights for public health strategies and future research on environmental triggers of autoimmune diseases.
近期研究突显了空气污染与自身免疫性疾病之间的潜在联系。然而,空气污染(包括细颗粒物2.5、可吸入颗粒物10、二氧化氮和氮氧化物)与类风湿关节炎(RA)之间的因果关系仍不明确。为解决这一问题,我们进行了一项两样本孟德尔随机化(MR)分析,以评估空气污染对类风湿关节炎的因果效应。空气污染指标的全基因组关联研究数据用作暴露因素,而类风湿关节炎结局数据则来自欧洲队列。逆方差加权作为因果估计的主要方法,并辅以敏感性分析,包括加权中位数、MR-Egger、加权模式和贝叶斯加权MR。所有分析均使用R软件进行。逆方差加权法的结果表明,细颗粒物2.5(比值比[OR]=0.71,P=0.183,95%置信区间[CI]:0.27-1.91)、可吸入颗粒物10(OR=0.657,P=0.143,95%CI:0.374-1.154)、二氧化氮(OR=0.482,P=0.163,95%CI:0.173-1.343)或氮氧化物(OR=0.868,P=0.782,95%CI:0.317-2.373)与类风湿关节炎风险之间无显著因果关联。敏感性分析证实了结果的稳健性,没有多效性或异质性的证据(P>0.05)。本研究提供了首个MR证据,表明空气污染可能不会对类风湿关节炎产生遗传预测的因果效应,为公共卫生策略以及自身免疫性疾病环境触发因素的未来研究提供了重要见解。