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预防医学  2024, Vol. 36 Issue (3): 198-202    DOI: 10.19485/j.cnki.issn2096-5087.2024.03.004
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肠道微生物与便秘的双向孟德尔随机化研究
李红梅1, 肖倩1, 谢潇潇1, 刘春强2, 黄业保1
1.广西医科大学附属柳州市人民医院,广西 柳州 545006;
2.来宾市人民医院,广西 来宾 546199
Bidirectional Mendelian randomization study on gut microbiota and constipation
LI Hongmei1, XIAO Qian1, XIE Xiaoxiao1, LIU Chunqiang2, HUANG Yebao1
1. Affiliated Liuzhou People's Hospital of Guangxi Medical University, Liuzhou, Guangxi 545006, China;
2. Laibin People's Hospital, Laibin, Guangxi 546199, China
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摘要 目的 采用孟德尔随机化(MR)研究方法分析肠道微生物与便秘的因果关系。方法 肠道微生物遗传变异数据来自微生物基因组联盟数据库,便秘遗传变异数据来自综合流行病学小组开放全基因组关联研究数据库;采用逆方差加权法,以肠道微生物相关的2 511个单核苷酸多态性(SNP)为工具变量,便秘为研究结局,进行正向MR分析;以便秘相关的13个SNP为工具变量,肠道微生物为研究结局,进行反向MR分析。采用Cochran检验评估异质性,MR Steiger检验反向因果的SNP,MR-PRESSO检验和MR-Egger回归法检验水平多效性,采用留一法检验结果的稳健性。结果 正向MR分析结果显示,宿主遗传驱动的粪球菌属1丰度升高,便秘风险降低(OR=0.791,95%CI:0.709~0.884);宿主遗传驱动的拟杆菌门丰度升高,便秘风险增加(OR=1.240,95%CI:1.102~1.394)。Cochran检验显示不存在异质性(均P>0.05),MR Steiger检验未发现反向因果的SNP,MR-PRESSO检验和MR-Egger回归法未发现工具变量的水平多效性(均P>0.05),留一法检验显示结果稳健。反向MR分析未发现反向因果关系(均P>0.05)。结论 肠道微生物中的粪球菌属1、拟杆菌门与便秘有关。
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李红梅
肖倩
谢潇潇
刘春强
黄业保
关键词 孟德尔随机化肠道微生物便秘因果关系    
AbstractObjective To investigate the causal relationship between gut microbiota and constipation using Mendelian randomization (MR) method. Methods Genetic variation data of gut microbiota were obtained from the MiBioGen Consortium database. The genetic variation data of constipation were sourced from the IEU Open GWAS database. A forward MR analysis was performed using the inverse-variance weighted (IVW) method with 2 511 SNPs associated with gut microbiota as instrumental variables, and constipation as study outcome, and a reverse MR analysis was performed with 13 microbiota-associated SNPs as instrumental variables and gut microbiota as study outcome. The heterogeneity was assessed using the Cochran test, reverse causation of SNP were examined using MR Steiger test, and the horizontal pleiotropy was assessed using the MR-PRESSO test and MR-Egger regression. In addition, the robustness of the results was verified with the leave-one-out. Results Forward MR analysis results showed that an increased abundance of genus Coprococcus1 driven by host genetics was associated with a decreased risk of constipation (OR=0.791, 95%CI: 0.709-0.884), and increased abundance of phylum Bacteroidetes driven by host genetics was associated with an increased risk of constipation (OR=1.240, 95%CI: 1.102-1.394). Cochran test detected no heterogeneity (both P>0.05), MR Steiger test was not revealed reverse causation of SNP, and neither the MR-PRESSO test nor the MR-Egger regression revealed horizontal pleiotropy of instrumental variables (all P>0.05), and the leave-one-out method confirmed the robustness of results. Reverse MR analysis showed no association between gut microbiota and constipation (both P>0.05). Conclusion Genus Coprococcus1 and phylum Bacteroidetes in the gut microbiota are associated with constipation.
Key wordsMendelian randomization    gut microbiota    constipation    causal relationship
收稿日期: 2023-11-24      修回日期: 2024-02-22      出版日期: 2024-03-10
中图分类号:  R256.35  
基金资助:国家自然科学基金项目(82060866); 柳州市科技计划项目(2022CAC0206); 广西壮族自治区卫生健康委自筹经费科研课题项目(Z-B20231318); 广西壮族自治区中医药管理局自筹经费科研课题项目(GZZC2020380)
作者简介: 李红梅,硕士,主管药师,主要从事药物临床试验工作
通信作者: 黄业保,E-mail:1966265675@qq.com   
引用本文:   
李红梅, 肖倩, 谢潇潇, 刘春强, 黄业保. 肠道微生物与便秘的双向孟德尔随机化研究[J]. 预防医学, 2024, 36(3): 198-202.
LI Hongmei, XIAO Qian, XIE Xiaoxiao, LIU Chunqiang, HUANG Yebao. Bidirectional Mendelian randomization study on gut microbiota and constipation. Preventive Medicine, 2024, 36(3): 198-202.
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https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2024.03.004      或      https://www.zjyfyxzz.com/CN/Y2024/V36/I3/198
[1] 中华医学会消化病学分会胃肠动力学组,中华医学会消化病学分会功能性胃肠病协作组. 中国慢性便秘专家共识意见(2019广州)[J]. 中华消化杂志,2019,39(9):577-598.
[2] PAN R L,WANG L L,XU X P,et al. Crosstalk between the gut microbiome and colonic motility in chronic constipation:potential mechanisms and microbiota modulation[J/OL]. Nutrients,2022,14(18)[2024-02-22]. https://doi.org/10.3390/nu14183704.
[3] YANG L,WANG Y,ZHANG Y,et al.Gut microbiota:a new avenue to reveal pathological mechanisms of constipation[J]. Appl Microbiol Biotechnol,2022,106(21):6899-6913.
[4] HUANG L S,ZHU Q,QU X,et al.Microbial treatment in chronic constipation[J]. Sci China Life Sci,2018,61(7):744-752.
[5] DAVEY SMITH G,HEMANI G.Mendelian randomization:genetic anchors for causal inference in epidemiological studies[J]. Hum Mol Genet,2014,23(1):89-98.
[6] SEKULA P,DEL GRECO M F,PATTARO C,et al. Mendelian randomization as an approach to assess causality using observational data[J]. J Am Soc Nephrol,2016,27(11):3253-3265.
[7] KURILSHIKOV A,MEDINA-GOMEZ C,BACIGALUPE R,et al.Large-scale association analyses identify host factors influencing human gut microbiome composition[J]. Nat Genet,2021,53(2):156-165.
[8] SAKAUE S,KANAI M,TANIGAWA Y,et al.A cross-population atlas of genetic associations for 220 human phenotypes[J]. Nat Genet,2021,53(10):1415-1424.
[9] ABECASIS G R,ALTSHULER D,AUTON A,et al.A map of human genome variation from population-scale sequencing[J]. Nature,2010,467(7319):1061-1073.
[10] LI P S,WANG H Y,GUO L,et al. Association between gut microbiota and preeclampsia-eclampsia:a two-sample Mendelian randomization study[J/OL]. BMC Med,2022,20(1)[2024-02-22]. https://doi.org/10.1186/s12916-022-02657-x.
[11] KAMAT M A,BLACKSHAW J A,YOUNG R,et al.PhenoScanner V2:an expanded tool for searching human genotype-phenotype associations[J]. Bioinformatics,2019,35(22):4851-4853.
[12] DONG Q,CHEN D,ZHANG Y,et al.Constipation and cardiovascular disease:a two-sample Mendelian randomization analysis[J/OL]. Front Cardiovasc Med,2023,10[2024-02-22]. https://doi.org/10.3389/fcvm.2023.1080982.
[13] BURGESS S,BUTTERWORTH A,THOMPSON S G.Mendelian randomization analysis with multiple genetic variants using summarized data[J]. Genet Epidemiol,2013,37(7):658-665.
[14] BOWDEN J,DAVEY SMITH G,BURGESS S.Mendelian randomization with invalid instruments:effect estimation and bias detection through Egger regression[J]. Int J Epidemiol,2015,44(2):512-525.
[15] BOWDEN J,DAVEY SMITH G,HAYCOCK P C,et al.Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator[J]. Genet Epidemiol,2016,40(4):304-314.
[16] XUE H,SHEN X,PAN W.Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects[J]. Am J Hum Genet,2021,108(7):1251-1269.
[17] VERBANCK M,CHEN C Y,NEALE B,et al.Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases[J]. Nat Genet,2018,50(5):693-698.
[18] BURGESS S,THOMPSON S G.Interpreting findings from Mendelian randomization using the MR-Egger method[J]. Eur J Epidemiol,2017,32(5):377-389.
[19] HEMANI G,TILLING K,DAVEY SMITH G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data[J/OL]. PLoS Genet,2017,13(11)[2024-02-22]. https://doi.org/1371/journal.pgen.1007081.
[20] 杨振国,王蕾.两样本孟德尔随机化:肠道菌群与偏头痛[J]. 现代预防医学,2023,50(20):3656-3662.
[21] MANCABELLI L,MILANI C,LUGLI G A,et al. Unveiling the gut microbiota composition and functionality associated with constipation through metagenomic analyses[J/OL]. Sci Rep,2017,7(1)[2024-02-22]. https://doi.org/10.1038/s41598-017-10663-w.
[22] YARULLINA D R,SHAFIGULLIN M U,SAKULIN K A,et al. Characterization of gut contractility and microbiota in patients with severe chronic constipation[J/OL]. PLoS One,2020,15(7)[2024-02-22]. https://doi.org/10.1371/journal.pone.0235985.
[23] GUO M Q,YAO J F,YANG F,et al.The composition of intestinal microbiota and its association with functional constipation of the elderly patients[J]. Future Microbiol,2020,15:163-175.
[24] WU G D,CHEN J,HOFFMANN C,et al.Linking long-term dietary patterns with gut microbial enterotypes[J]. Science,2011,334(6052):105-108.
[25] 韩旭,许晨,卫璐戈,等. 慢传输型便秘和排便障碍型便秘患者肠道菌群结构分析[J]. 胃肠病学,2021,26(12):724-731.
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