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Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study

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 possibl...

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Autores principales: Xu, Fan, Gan, Xiuyuan, Tao, Yang, Li, Dongling, Xie, Puguang, Liu, Fangying, Yang, Fan, Ma, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580584/
https://www.ncbi.nlm.nih.gov/pubmed/37848822
http://dx.doi.org/10.1186/s12879-023-08706-x
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author Xu, Fan
Gan, Xiuyuan
Tao, Yang
Li, Dongling
Xie, Puguang
Liu, Fangying
Yang, Fan
Ma, Yu
author_facet Xu, Fan
Gan, Xiuyuan
Tao, Yang
Li, Dongling
Xie, Puguang
Liu, Fangying
Yang, Fan
Ma, Yu
author_sort Xu, Fan
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08706-x.
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spelling pubmed-105805842023-10-18 Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study Xu, Fan Gan, Xiuyuan Tao, Yang Li, Dongling Xie, Puguang Liu, Fangying Yang, Fan Ma, Yu BMC Infect Dis Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08706-x. BioMed Central 2023-10-17 /pmc/articles/PMC10580584/ /pubmed/37848822 http://dx.doi.org/10.1186/s12879-023-08706-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xu, Fan
Gan, Xiuyuan
Tao, Yang
Li, Dongling
Xie, Puguang
Liu, Fangying
Yang, Fan
Ma, Yu
Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
title Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
title_full Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
title_fullStr Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
title_full_unstemmed Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
title_short Association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
title_sort association between gut microbiota and influenza: a bidirectional two-sample mendelian randomization study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580584/
https://www.ncbi.nlm.nih.gov/pubmed/37848822
http://dx.doi.org/10.1186/s12879-023-08706-x
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