摘要
目的采用全基因组孟德尔随机化方法,探究473种肠道菌群与百日咳的因果关系。方法肠道菌群数据来源于全基因组关联研究(GWAS),共纳入5959例样本,覆盖473种肠道菌群物种;百日咳数据来自FinnGenR9数据库(147例病例,332343例对照)。研究采用逆方差加权(IVW)法进行双向两样本孟德尔随机化分析,评估肠道菌群对百日咳的因果作用,并通过Cochran's Q检验、MR-Egger截距检验和MR-PRESSO检验异质性与多效性。结果共鉴定出20种与百日咳存在因果关系的肠道菌群。其中,11种菌群具有保护作用,以UBA7177的保护效应最强(OR=0.1404,95%CI:0.0240~0.8214,P=0.0294);9种菌群增加百日咳风险,以劳森氏菌sp002161175的风险最高(OR=15.2697,95%CI:2.3443~99.4593,P=0.0044)。结论肠道菌群与百日咳之间存在因果关系,靶向调节特定菌群可能为百日咳的防治提供新策略。
Objective To investigate causal relationship between 473 gut microbiota and pertussis by genome-wide Mendelian randomization method.Methods Gut microbiota data were derived from genome-wide association study(GWAS),which included a total of 5959 samples covering 473 gut microbiota species.Pertussis data were extracted from the FinnGen R9 database(147 cases and 332343 controls).Inverse variance weighted(IVW)method was used for bidirectional two sample Mendelian randomization analysis to evaluate the causal effect of gut microbiota on pertussis,and Cochran's Q test,MR-Egger intercept test,and MR-PRESSO were used to examine heterogeneity and pleiotropy.Results A total of 20 gut microbiota were identified as causally linked to pertussis.Among them,11 microbiota exhibited protective effects,with UBA7177 showing the strongest protection(OR=0.1404,95%CI:0.0240–0.8214,P=0.0294);9 species increased the risk of pertussis,with Lawsonella sp002161175 presenting the highest risk(OR=15.2697,95%CI:2.3443–99.4593,P=0.0044).Conclusion A causal relationship exists between gut microbiota and pertussis,and targeted modulation of specific microbiota may offer novel strategies for the prevention and treatment of pertussis.
作者
江锡娟
廖必才
JIANG Xijuan;LIAO Bicai(Department of Pediatrics,Beihai Tuberculosis Prevention and Treatment Hospital,Beihai 536000,Guangxi,China;Department of Pediatrics,Guangxi Zhuang Autonomous Region Ethnic Hospital,Nanning 530000,Guangxi,China)
出处
《右江医学》
2025年第8期725-732,共8页
Chinese Youjiang Medical Journal
关键词
肠道菌群
百日咳
孟德尔随机化
因果关系
GWAS
gut microbiota
pertussis
Mendelian randomization
causal relationship
genome-wide association study(GWAS)
