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肠道微生物群与变应性鼻炎之间的遗传关联:一项LDSC和孟德尔随机化分析

Genetic associations between gut microbiota and allergic rhinitis: an LDSC and MR analysis.

作者信息

Zheng XuWen, Chen MaoBing, Zhuang Yi, Xu Jin, Zhao Liang, Qian YongJun, Shen WenMing

机构信息

Emergency Department, Wujin People's Hospital Affiliated with Jiangsu University and Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China.

出版信息

Front Microbiol. 2024 May 24;15:1395340. doi: 10.3389/fmicb.2024.1395340. eCollection 2024.

DOI:10.3389/fmicb.2024.1395340
PMID:38855765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11157438/
Abstract

BACKGROUND

Several studies have suggested a potential link between allergic rhinitis (AR) and gut microbiota. In response, we conducted a meta-analysis of Linkage Disequilibrium Score Regression (LDSC) and Mendelian randomization (MR) to detect their genetic associations.

METHODS

Summary statistics for 211 gut microbiota taxa were gathered from the MiBioGen study, while data for AR were sourced from the Pan-UKB, the FinnGen, and the Genetic Epidemiology Research on Aging (GERA). The genetic correlation between gut microbiota and AR was assessed using LDSC. The principal estimate of causality was determined using the Inverse-Variance Weighted (IVW) method. To assess the robustness of these findings, sensitivity analyses were conducted employing methods such as the weighted median, MR-Egger, and MR-PRESSO. The summary effect estimates of LDSC, forward MR and reverse MR were combined using meta-analysis for AR from different data resources.

RESULTS

Our study indicated a significant genetic correlation between genus (Rg = -0.64,  = 3.64 × 10, Adjust_ = 3.64 × 10) and AR, and a suggestive genetic correlation between seven bacterial taxa and AR. Moreover, the forward MR analysis identified genus , genus , genus , genus , and family as being suggestively associated with an increased risk of AR. The reverse MR analysis indicated that AR was suggestively linked to an increased risk for genus and genus .

CONCLUSION

Our findings indicate a causal relationship between specific gut microbiomes and AR. This enhances our understanding of the gut microbiota's contribution to the pathophysiology of AR and lays the groundwork for innovative approaches and theoretical models for future prevention and treatment strategies in this patient population.

摘要

背景

多项研究表明过敏性鼻炎(AR)与肠道微生物群之间可能存在联系。对此,我们进行了连锁不平衡评分回归(LDSC)和孟德尔随机化(MR)的荟萃分析,以检测它们的遗传关联。

方法

从MiBioGen研究中收集了211种肠道微生物分类群的汇总统计数据,而AR的数据则来自泛英国生物银行(Pan-UKB)、芬兰基因库(FinnGen)和老龄化遗传流行病学研究(GERA)。使用LDSC评估肠道微生物群与AR之间的遗传相关性。采用逆方差加权(IVW)方法确定因果关系的主要估计值。为了评估这些发现的稳健性,采用加权中位数、MR-Egger和MR-PRESSO等方法进行敏感性分析。使用荟萃分析将来自不同数据资源的AR的LDSC、正向MR和反向MR的汇总效应估计值合并。

结果

我们的研究表明,某属与AR之间存在显著的遗传相关性(Rg = -0.64,P = 3.64×10,Adjust_P = 3.64×10),并且七种细菌分类群与AR之间存在提示性的遗传相关性。此外,正向MR分析确定某属、某属、某属、某属和某科与AR风险增加存在提示性关联。反向MR分析表明,AR与某属和某属风险增加存在提示性联系。

结论

我们的研究结果表明特定肠道微生物群与AR之间存在因果关系。这增强了我们对肠道微生物群在AR病理生理学中作用的理解,并为该患者群体未来预防和治疗策略的创新方法和理论模型奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/c9586015f565/fmicb-15-1395340-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/dbc84064378f/fmicb-15-1395340-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/4f48c4dc345b/fmicb-15-1395340-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/8c0a1da65806/fmicb-15-1395340-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/1096624da02c/fmicb-15-1395340-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/24d69c8f1464/fmicb-15-1395340-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/c9586015f565/fmicb-15-1395340-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/dbc84064378f/fmicb-15-1395340-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/4f48c4dc345b/fmicb-15-1395340-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/8c0a1da65806/fmicb-15-1395340-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/1096624da02c/fmicb-15-1395340-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/24d69c8f1464/fmicb-15-1395340-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48fd/11157438/c9586015f565/fmicb-15-1395340-g006.jpg

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