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基于两样本孟德尔随机化分析探索人类肠道菌群与增生性瘢痕之间的因果关系

[Exploring the causality between intestinal flora and hyperplastic scars of human based on two-sample Mendelian randomization analysis].

作者信息

Chen W T, Wang X X, Zheng W L, Zhang W Q, Mao L J, Zhuo J N, Zhou S T, Yang R H

机构信息

The First Clinical College of Medicine, Guangdong Medical University, Zhanjiang 524023, China.

Department of Burn Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510030, China.

出版信息

Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi. 2024 Apr 20;40(4):333-341. doi: 10.3760/cma.j.cn501225-20231129-00215.

Abstract

To investigate the causality between intestinal flora and hypertrophic scars (HS) of human. This study was a study based on two-sample Mendelian randomization (TSMR) analysis. The data on intestinal flora (=18 473) and HS (=208 248) of human were obtained from the genome-wide association study database. Genetically variable genes at five levels (phylum, class, order, family, and genus) of known intestinal flora, i.e., single nucleotide polymorphisms (SNPs), were extracted as instrumental variables for linkage disequilibrium (LD) analysis. Human genotype-phenotype association analysis was performed using PhenoScanner V2 database to exclude SNPs unrelated to HS in intestinal flora and analyze whether the selected SNPs were weak instrumental variables. The causal relationship between intestinal flora SNPs and HS was analyzed through four methods of TSMR analysis, namely inverse variance weighted (IVW), MR-Egger regression, weighted median, and weighted mode. Scatter plots of significant results from the four aforementioned analysis methods were plotted to analyze the correlation between intestinal flora SNPs and HS. Both IVW test and MR-Egger regression test were used to assess the heterogeneity of intestinal flora SNPs, MR-Egger regression test and MR-PRESSO outlier test were used to assess the horizontal multiplicity of intestinal flora SNPs, and leave-one-out sensitivity analysis was used to determine whether HS was caused by a single SNP in the intestinal flora. Reverse TSMR analyses were performed for HS SNPs and genus or genus , respectively, to detect whether there was reverse causality between them. A total of 196 known intestinal flora, belonging to 9 phyla, 16 classes, 20 orders, 32 families, and 119 genera, were obtained, and multiple SNPs were obtained from each flora as instrumental variables. LD analysis showed that the SNPs of the intestinal flora were consistent with the hypothesis that genetic variation was strongly associated with exposure factors, except for rs1000888, rs12566247, and rs994794. Human genotype-phenotype association analysis showed that none of the selected SNPs after LD analysis was excluded and there were no weak instrumental variables. IVW, MR-Egger regression, weighted median, and weighted mode of TSMR analysis showed that both genus and genus were causally associated with HS. Among them, forest plots of IVW and MR-Egger regression analyses also showed that 16 SNPs (the same SNPs number of this genus below) of genus and 15 SNPs (the same SNPs number of this genus below) of genus were protective factors for HS. Further, IVW analysis showed that genus SNPs (with odds ratio of 0.62, 95% confidence interval of 0.41-0.93, <0.05) and genus SNPs (with odds ratio of 0.62, 95% confidence interval of 0.40-0.97, <0.05) were negatively correlated with the risk of HS. Scatter plots showed that SNPs of genus and genus were protective factors of HS. Both IVW test and MR-Egger regression test showed that SNPs of genus (with values of 5.73 and 5.76, respectively, >0.05) and genus (with values of 13.67 and 15.61, respectively, >0.05) were not heterogeneous. MR-Egger regression test showed that the SNPs of genus and genus had no horizontal multiplicity (with intercepts of 0.01 and 0.06, respectively, >0.05); MR-PRESSO outlier test showed that the SNPs of genus and genus had no horizontal multiplicity (>0.05). Leave-one-out sensitivity analysis showed that no single intestinal flora SNP drove the occurrence of HS. Reverse TSMR analysis showed no reverse causality between HS SNPs and genus or genus (with odds ratios of 1.01 and 0.99, respectively, 95% confidence intervals of 0.97-1.06 and 0.96-1.04, respectively, >0.05). There is a causal relationship between intestinal flora and HS of human, in which genus and genus have a certain effect on inhibiting HS.

摘要

为研究人类肠道菌群与增生性瘢痕(HS)之间的因果关系。本研究是一项基于两样本孟德尔随机化(TSMR)分析的研究。人类肠道菌群(=18473)和HS(=208248)的数据来自全基因组关联研究数据库。从已知肠道菌群的五个水平(门、纲、目、科和属)的基因可变基因中提取单核苷酸多态性(SNP)作为连锁不平衡(LD)分析的工具变量。使用PhenoScanner V2数据库进行人类基因型-表型关联分析,以排除与肠道菌群中HS无关的SNP,并分析所选SNP是否为弱工具变量。通过TSMR分析的四种方法,即逆方差加权(IVW)、MR-Egger回归、加权中位数和加权模式,分析肠道菌群SNP与HS之间的因果关系。绘制上述四种分析方法显著结果的散点图,以分析肠道菌群SNP与HS之间的相关性。使用IVW检验和MR-Egger回归检验评估肠道菌群SNP的异质性,使用MR-Egger回归检验和MR-PRESSO异常值检验评估肠道菌群SNP的水平多效性,并使用留一法敏感性分析确定HS是否由肠道菌群中的单个SNP引起。分别对HS SNP与属 或属 进行反向TSMR分析,以检测它们之间是否存在反向因果关系。共获得196种已知肠道菌群,分属于9个门、16个纲、20个目、32个科和119个属,并从每种菌群中获得多个SNP作为工具变量。LD分析表明,除rs1000888、rs12566247和rs994794外,肠道菌群的SNP与遗传变异与暴露因素密切相关的假设一致。人类基因型-表型关联分析表明,LD分析后所选的SNP均未被排除,且不存在弱工具变量。TSMR分析的IVW、MR-Egger回归、加权中位数和加权模式表明,属 和属 均与HS存在因果关系。其中,IVW和MR-Egger回归分析的森林图还表明,属 的16个SNP(与该属以下的SNP数量相同)和属 的15个SNP(与该属以下的SNP数量相同)是HS的保护因素。此外,IVW分析表明,属 SNP(比值比为0.62,95%置信区间为0.41-0.93,<0.05)和属 SNP(比值比为0.62,95%置信区间为0.40-0.97,<0.05)与HS风险呈负相关。散点图表明,属 和属 的SNP是HS的保护因素。IVW检验和MR-Egger回归检验均表明,属 ( 值分别为5.73和5.76,>0.05)和属 ( 值分别为13.67和15.61,>0.05)的SNP不存在异质性。MR-Egger回归检验表明,属 和属 的SNP不存在水平多效性(截距分别为0.01和0.06,>0.05);MR-PRESSO异常值检验表明,属 和属 的SNP不存在水平多效性(>0.05)。留一法敏感性分析表明,没有单个肠道菌群SNP导致HS的发生。反向TSMR分析表明,HS SNP与属 或属 之间不存在反向因果关系(比值比分别为1.01和0.99,95%置信区间分别为0.97-1.06和0.96-1.04,>0.05)。人类肠道菌群与HS之间存在因果关系,其中属 和属 对抑制HS有一定作用。

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