Chongqing Key Laboratory of Emergency Medicine, Chongqing Emergency Medical Center, School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, 400014, China.
Central laboratory of Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, 400014, China.
BMC Infect Dis. 2023 Oct 17;23(1):692. doi: 10.1186/s12879-023-08706-x.
Previous observational studies have indicated a correlation between the gut microbiota and influenza; however, the exact nature of the bidirectional causal connection remains uncertain.
A two-way, two-sample Mendelian randomization (MR) study was conducted to evaluate the possible causal connection between the gut microbiota and the two outcomes of influenza (pneumonia without influenza and influenza pneumonia). The statistical analysis of gut microbiota is derived from the information of the most extensive meta-analysis (GWAS) conducted by the MiBioGen Alliance, encompassing a sample size of 18,340.The summary statistical data for influenza (not pneumonia, n = 291,090) and influenza pneumonia (n = 342,499) are from GWAS data published by FinnGen consortium R8.Estimate and summarize Single-nucleotide polymorphisms (SNPs) using Inverse variance weighted (IVW), MR Egger, and Weighted median (WM) in bidirectional MR analysis. To assess the heterogeneity, horizontal pleiotropy, and stability of SNPs, we employed Cochran's Q test, MR Egger intercept test, and sensitivity analysis.
The IVW analysis indicated that there was a significant association between influenza infection and five bacterial taxa. Additionally, the abundance changes of seven gut microbiota were found to be causally related to influenza infection. In addition, seven bacterial taxa showed a significant association with the occurrence of influenza pneumonia. The findings from the WM analysis largely support the outcomes of IVW, however, the results of MR egger analysis do not align with IVW. Furthermore, there is no proof to substantiate the cause-and-effect relationship between influenza pneumonia and the composition of gut microbiota.
This analysis demonstrates a possible bidirectional causal connection between the prevalence of particular gut microbiota and the occurrence of influenza infection. The presence of certain gut microbiota may potentially contribute to the development of pneumonia caused by influenza. Additional investigation into the interaction between particular bacterial communities and influenza can enhance efforts in preventing, monitoring, and treating influenza.
先前的观察性研究表明肠道微生物群与流感之间存在关联,但双向因果关系的确切性质仍不确定。
进行了双向、两样本孟德尔随机化 (MR) 研究,以评估肠道微生物群与流感的两个结果(无流感肺炎和流感肺炎)之间可能存在的因果关系。肠道微生物群的统计分析源自由 MiBioGen 联盟进行的最广泛的荟萃分析(GWAS)的信息,该分析包含 18340 个样本。流感(非肺炎,n=291090)和流感肺炎(n=342499)的汇总统计数据来自 FinnGen 联盟 R8 发表的 GWAS 数据。使用双向 MR 分析中的逆方差加权 (IVW)、MR Egger 和加权中位数 (WM) 估计和总结单核苷酸多态性 (SNP)。使用 Cochran's Q 检验、MR Egger 截距检验和敏感性分析来评估 SNP 的异质性、水平多效性和稳定性。
IVW 分析表明,流感感染与五种细菌分类群之间存在显著关联。此外,发现七种肠道微生物群的丰度变化与流感感染存在因果关系。此外,七种细菌分类群与流感肺炎的发生存在显著关联。WM 分析的结果在很大程度上支持 IVW 的结果,但是 MR egger 分析的结果与 IVW 不一致。此外,没有证据表明流感肺炎与肠道微生物群的组成之间存在因果关系。
该分析表明特定肠道微生物群的流行与流感感染的发生之间可能存在双向因果关系。某些肠道微生物群的存在可能有助于流感引起的肺炎的发展。进一步研究特定细菌群落与流感之间的相互作用可以促进预防、监测和治疗流感的努力。