tetano
Editor, Senior Moderator
BMC Infect Dis
. 2023 Oct 17;23(1):692.
doi: 10.1186/s12879-023-08706-x. Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
Fan Xu[SUP] #[/SUP][SUP] 1 2 [/SUP], Xiuyuan Gan[SUP] #[/SUP][SUP] 3 [/SUP], Yang Tao[SUP] 3 [/SUP], Dongling Li[SUP] 1 2 [/SUP], Puguang Xie[SUP] 1 2 [/SUP], Fangying Liu[SUP] 1 2 [/SUP], Fan Yang[SUP] 4 5 [/SUP], Yu Ma[SUP] 6 7 8 [/SUP]
Affiliations
Background: Previous observational studies have indicated a correlation between the gut microbiota and influenza; however, the exact nature of the bidirectional causal connection remains uncertain.
Method: 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.
Result: 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.
Conclusion: 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.
Keywords: GWAS; Influenza; Pneumonia; Two-sample mendelian randomization.
. 2023 Oct 17;23(1):692.
doi: 10.1186/s12879-023-08706-x. Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
Fan Xu[SUP] #[/SUP][SUP] 1 2 [/SUP], Xiuyuan Gan[SUP] #[/SUP][SUP] 3 [/SUP], Yang Tao[SUP] 3 [/SUP], Dongling Li[SUP] 1 2 [/SUP], Puguang Xie[SUP] 1 2 [/SUP], Fangying Liu[SUP] 1 2 [/SUP], Fan Yang[SUP] 4 5 [/SUP], Yu Ma[SUP] 6 7 8 [/SUP]
Affiliations
- PMID: 37848822
- DOI: 10.1186/s12879-023-08706-x
Background: Previous observational studies have indicated a correlation between the gut microbiota and influenza; however, the exact nature of the bidirectional causal connection remains uncertain.
Method: 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.
Result: 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.
Conclusion: 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.
Keywords: GWAS; Influenza; Pneumonia; Two-sample mendelian randomization.