PM2.5暴露与慢性肾脏病--两样本孟德尔随机化研究.

Objective To investigate the causal relationship between PM25 exposure and chronic kidney disease (CKD) as well as related indices including eGFR and urinary albumin using a two-sample Mendelian (MR) approach. Methods MR analysis was conducted using large-scale publicly available genome-wide association study (GWAS) summary data. The inverse variance weighted (IVW) method served as the primary approach, accompanied by MR-Egger, weighted median, simple model, and weighted model methods. MR-PRESSO, Cochran Q test, MR-Egger, and leave-one-out methods were employed to test the robustness of results. Results Neither IVW nor the four other methods found a causal between PM25 and CKD (Oi-二0.915, 95%CI: 0370 to 2.26& P=0.849), eGFR (OR=0.997: 95%CI: 0.988 to 1.006, P=0.542), or urinary albumin (02- =0.972, 95% CI: 0.164 to 5.760, P=0,975). Sensitivity analyses did not reveal outliers, pleiotropy, or the influence of single nucleotide polymorphisms (SNPs) on the overall effect estimate. Conclusion This study does not support a causal relationship between PM25 exposure and CKD or its related indices including eGFR and urinary albumin. [ABSTRACT FROM AUTHOR]