[基于双样本孟德尔随机分析法探讨肠道菌群与人体增生性疤痕之间的因果关系]。

W. T. Chen, X. X. Wang, W. L. Zheng, W. Q. Zhang, L. J. Mao, J. N. Zhuo, S T Zhou, R. H. Yang
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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 Intestinimonas or genus Ruminococcus2, respectively, to detect whether there was reverse causality between them. Results: 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 Intestinimonas and genus Ruminococcus2 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 Intestinimonas and 15 SNPs (the same SNPs number of this genus below) of genus Ruminococcus2 were protective factors for HS. Further, IVW analysis showed that genus Intestinimonas SNPs (with odds ratio of 0.62, 95% confidence interval of 0.41-0.93, P<0.05) and genus Ruminococcus2 SNPs (with odds ratio of 0.62, 95% confidence interval of 0.40-0.97, P<0.05) were negatively correlated with the risk of HS. Scatter plots showed that SNPs of genus Intestinimonas and genus Ruminococcus2 were protective factors of HS. Both IVW test and MR-Egger regression test showed that SNPs of genus Intestinimonas (with Q values of 5.73 and 5.76, respectively, P>0.05) and genus Ruminococcus2 (with Q values of 13.67 and 15.61, respectively, P>0.05) were not heterogeneous. MR-Egger regression test showed that the SNPs of genus Intestinimonas and genus Ruminococcus2 had no horizontal multiplicity (with intercepts of 0.01 and 0.06, respectively, P>0.05); MR-PRESSO outlier test showed that the SNPs of genus Intestinimonas and genus Ruminococcus2 had no horizontal multiplicity (P>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 Intestinimonas or genus Ruminococcus2 (with odds ratios of 1.01 and 0.99, respectively, 95% confidence intervals of 0.97-1.06 and 0.96-1.04, respectively, P>0.05). Conclusions: There is a causal relationship between intestinal flora and HS of human, in which genus Intestinimonas and genus Ruminococcus2 have a certain effect on inhibiting HS.","PeriodicalId":516861,"journal":{"name":"Zhonghua shao shang yu chuang mian xiu fu za zhi","volume":"9 5","pages":"333-341"},"PeriodicalIF":0.0000,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Exploring the causality between intestinal flora and hyperplastic scars of human based on two-sample Mendelian randomization analysis].\",\"authors\":\"W. T. Chen, X. X. Wang, W. L. Zheng, W. Q. Zhang, L. J. Mao, J. N. Zhuo, S T Zhou, R. H. Yang\",\"doi\":\"10.3760/cma.j.cn501225-20231129-00215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To investigate the causality between intestinal flora and hypertrophic scars (HS) of human. 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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 Intestinimonas or genus Ruminococcus2, respectively, to detect whether there was reverse causality between them. Results: 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 Intestinimonas and genus Ruminococcus2 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 Intestinimonas and 15 SNPs (the same SNPs number of this genus below) of genus Ruminococcus2 were protective factors for HS. 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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 Intestinimonas or genus Ruminococcus2 (with odds ratios of 1.01 and 0.99, respectively, 95% confidence intervals of 0.97-1.06 and 0.96-1.04, respectively, P>0.05). 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引用次数: 0

摘要

目的:研究肠道菌群与人类肥厚性疤痕(HS)之间的因果关系:研究肠道菌群与人类增生性疤痕(HS)之间的因果关系。研究方法本研究是一项基于双样本孟德尔随机分析法(TSMR)的研究。人类肠道菌群(n=18 473)和增生性疤痕(n=208 248)的数据来自全基因组关联研究数据库。提取已知肠道菌群五个层次(门、纲、目、科、属)的遗传变异基因,即单核苷酸多态性(SNPs),作为关联不平衡(LD)分析的工具变量。利用 PhenoScanner V2 数据库进行了人类基因型-表型关联分析,以排除与肠道菌群中的 HS 无关的 SNPs,并分析所选 SNPs 是否为弱工具变量。通过反方差加权(IVW)、MR-Egger 回归、加权中位数和加权模式四种 TSMR 分析方法,分析了肠道菌群 SNPs 与 HS 之间的因果关系。利用 IVW 检验和 MR-Egger 回归检验评估肠道菌群 SNPs 的异质性,利用 MR-Egger 回归检验和 MR-PRESSO 离群检验评估肠道菌群 SNPs 的水平多重性,利用留一敏感性分析确定 HS 是否由肠道菌群中的单个 SNPs 引起。分别对 HS SNP 和肠球菌属或反刍球菌属2 进行反向 TSMR 分析,以检测它们之间是否存在反向因果关系。结果共获得 196 个已知肠道菌群,隶属于 9 个门、16 个类、20 个目、32 个科和 119 个属,并从每个菌群中获得多个 SNPs 作为工具变量。LD分析表明,除rs1000888、rs12566247和rs994794外,肠道菌群的SNPs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,经过LD分析后,所选的SNPs均未被排除,也不存在弱工具变量。TSMR的IVW、MR-Egger回归、加权中位数和加权模式分析显示,肠球菌属和反刍球菌属2均与HS有因果关系。其中,IVW和MR-Egger回归分析的森林图还显示,肠杆菌属的16个SNPs(该属的SNPs数量相同,下同)和Ruminococcus2属的15个SNPs(该属的SNPs数量相同,下同)是HS的保护因子。此外,IVW 分析表明,Intestinimonas 属 SNPs(几率比为 0.62,95% 置信区间为 0.41-0.93,P0.05)和 Ruminococcus2 属 SNPs(Q 值分别为 13.67 和 15.61,P>0.05)不存在异质性。MR-Egger回归检验表明,肠杆菌属和反刍球菌属2的SNPs没有水平多重性(截距分别为0.01和0.06,P>0.05);MR-PRESSO离群检验表明,肠杆菌属和反刍球菌属2的SNPs没有水平多重性(P>0.05)。剔除敏感性分析表明,没有一个肠道菌群 SNP 会导致 HS 的发生。反向 TSMR 分析表明,HS SNP 与肠道菌属或反刍球菌属 2 之间没有反向因果关系(几率比分别为 1.01 和 0.99,95% 置信区间分别为 0.97-1.06 和 0.96-1.04,P>0.05)。结论肠道菌群与人类 HS 之间存在因果关系,其中肠球菌属和反刍球菌属对抑制 HS 有一定作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Exploring the causality between intestinal flora and hyperplastic scars of human based on two-sample Mendelian randomization analysis].
Objective: To investigate the causality between intestinal flora and hypertrophic scars (HS) of human. Methods: This study was a study based on two-sample Mendelian randomization (TSMR) analysis. The data on intestinal flora (n=18 473) and HS (n=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 Intestinimonas or genus Ruminococcus2, respectively, to detect whether there was reverse causality between them. Results: 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 Intestinimonas and genus Ruminococcus2 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 Intestinimonas and 15 SNPs (the same SNPs number of this genus below) of genus Ruminococcus2 were protective factors for HS. Further, IVW analysis showed that genus Intestinimonas SNPs (with odds ratio of 0.62, 95% confidence interval of 0.41-0.93, P<0.05) and genus Ruminococcus2 SNPs (with odds ratio of 0.62, 95% confidence interval of 0.40-0.97, P<0.05) were negatively correlated with the risk of HS. Scatter plots showed that SNPs of genus Intestinimonas and genus Ruminococcus2 were protective factors of HS. Both IVW test and MR-Egger regression test showed that SNPs of genus Intestinimonas (with Q values of 5.73 and 5.76, respectively, P>0.05) and genus Ruminococcus2 (with Q values of 13.67 and 15.61, respectively, P>0.05) were not heterogeneous. MR-Egger regression test showed that the SNPs of genus Intestinimonas and genus Ruminococcus2 had no horizontal multiplicity (with intercepts of 0.01 and 0.06, respectively, P>0.05); MR-PRESSO outlier test showed that the SNPs of genus Intestinimonas and genus Ruminococcus2 had no horizontal multiplicity (P>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 Intestinimonas or genus Ruminococcus2 (with odds ratios of 1.01 and 0.99, respectively, 95% confidence intervals of 0.97-1.06 and 0.96-1.04, respectively, P>0.05). Conclusions: There is a causal relationship between intestinal flora and HS of human, in which genus Intestinimonas and genus Ruminococcus2 have a certain effect on inhibiting HS.
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