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作 者:杨粤斌 雷立健[1,2] YANG Yue-bin;LEI Li-jian(School of Public Health,Shanxi Medical University,Taiyuan,Shanxi 030001,China;不详)
机构地区:[1]山西医科大学公共卫生学院,山西太原030001 [2]煤炭环境致病与防治教育部重点实验室,山西太原030001
出 处:《现代预防医学》2024年第15期2737-2741,2758,共6页Modern Preventive Medicine
摘 要:目的本研究旨在通过两样本孟德尔随机化(MR)方法,探讨PM_(2.5)与慢性肾脏病(CKD)和相关功能指标(eGFR和尿白蛋白)之间是否存在因果关联。方法使用大规模公开的全基因组关联研究(GWAS)汇总数据进行MR分析。以逆方差加权(IVW)方法作为主要手段,并辅以MR-Egger、加权中位数、简单模型和加权模型等方法进行综合评估。执行包括MR-PRESSO法、Cochran Q检验、MR-Egger回归和“留一法”以保证MR结果的稳健性。结果IVW法以及其余四种方法均未发现PM_(2.5)与CKD(OR=0.915,95%CI:0.370~2.268,P=0.849)、eGFR(OR=0.997,95%CI:0.988~1.006,P=0.542)和尿白蛋白(OR=0.972,95%CI:0.164~5.760,P=0.975)存在因果关联。此外敏感性分析过程中未发现显著的离群值、异质性或水平多效性存在,也未观察到单个单核苷酸多态性(SNPs)对总体效应估计值产生显著影响。结论本研究的证据不支持PM_(2.5)与CKD和相关功能指标(eGFR和尿白蛋白)之间存在因果关联的假设。Objective To investigate the causal relationship between PM_(2.5)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 PM_(2.5)and CKD(OR=0.915,95%CI:0.370 to 2.268,P=0.849),eGFR(OR=0.997,95%CI:0.988 to 1.006,P=0.542),or urinary albumin(OR=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 PM_(2.5)exposure and CKD or its related indices including eGFR and urinary albumin.
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