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Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study

INTRODUCTION: Previous research has reported that the gut microbiota performs an essential role in sleep through the microbiome–gut–brain axis. However, the causal association between gut microbiota and sleep remains undetermined. METHODS: We performed a two-sample, bidirectional Mendelian randomiza...

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Autores principales: Wu, Jun, Zhang, Baofu, Zhou, Shengjie, Huang, Ziyi, Xu, Yindong, Lu, Xinwu, Zheng, Xiangtao, Ouyang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461450/
https://www.ncbi.nlm.nih.gov/pubmed/37645227
http://dx.doi.org/10.3389/fmicb.2023.1236847
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author Wu, Jun
Zhang, Baofu
Zhou, Shengjie
Huang, Ziyi
Xu, Yindong
Lu, Xinwu
Zheng, Xiangtao
Ouyang, Dong
author_facet Wu, Jun
Zhang, Baofu
Zhou, Shengjie
Huang, Ziyi
Xu, Yindong
Lu, Xinwu
Zheng, Xiangtao
Ouyang, Dong
author_sort Wu, Jun
collection PubMed
description INTRODUCTION: Previous research has reported that the gut microbiota performs an essential role in sleep through the microbiome–gut–brain axis. However, the causal association between gut microbiota and sleep remains undetermined. METHODS: We performed a two-sample, bidirectional Mendelian randomization (MR) analysis using genome-wide association study summary data of gut microbiota and self-reported sleep traits from the MiBioGen consortium and UK Biobank to investigate causal relationships between 119 bacterial genera and seven sleep-associated traits. We calculated effect estimates by using the inverse-variance weighted (as the main method), maximum likelihood, simple model, weighted model, weighted median, and MR-Egger methods, whereas heterogeneity and pleiotropy were detected and measured by the MR pleiotropy residual sum and outlier method, Cochran’s Q statistics, and MR-Egger regression. RESULTS: In forward MR analysis, inverse-variance weighted estimates concluded that the genetic forecasts of relative abundance of 42 bacterial genera had causal effects on sleep-associated traits. In the reverse MR analysis, sleep-associated traits had a causal effect on 39 bacterial genera, 13 of which overlapped with the bacterial genera in the forward MR analysis. DISCUSSION: In conclusion, our research indicates that gut microbiota may be involved in the regulation of sleep, and conversely, changes in sleep-associated traits may also alter the abundance of gut microbiota. These findings suggest an underlying reciprocal causal association between gut microbiota and sleep.
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spelling pubmed-104614502023-08-29 Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study Wu, Jun Zhang, Baofu Zhou, Shengjie Huang, Ziyi Xu, Yindong Lu, Xinwu Zheng, Xiangtao Ouyang, Dong Front Microbiol Microbiology INTRODUCTION: Previous research has reported that the gut microbiota performs an essential role in sleep through the microbiome–gut–brain axis. However, the causal association between gut microbiota and sleep remains undetermined. METHODS: We performed a two-sample, bidirectional Mendelian randomization (MR) analysis using genome-wide association study summary data of gut microbiota and self-reported sleep traits from the MiBioGen consortium and UK Biobank to investigate causal relationships between 119 bacterial genera and seven sleep-associated traits. We calculated effect estimates by using the inverse-variance weighted (as the main method), maximum likelihood, simple model, weighted model, weighted median, and MR-Egger methods, whereas heterogeneity and pleiotropy were detected and measured by the MR pleiotropy residual sum and outlier method, Cochran’s Q statistics, and MR-Egger regression. RESULTS: In forward MR analysis, inverse-variance weighted estimates concluded that the genetic forecasts of relative abundance of 42 bacterial genera had causal effects on sleep-associated traits. In the reverse MR analysis, sleep-associated traits had a causal effect on 39 bacterial genera, 13 of which overlapped with the bacterial genera in the forward MR analysis. DISCUSSION: In conclusion, our research indicates that gut microbiota may be involved in the regulation of sleep, and conversely, changes in sleep-associated traits may also alter the abundance of gut microbiota. These findings suggest an underlying reciprocal causal association between gut microbiota and sleep. Frontiers Media S.A. 2023-08-14 /pmc/articles/PMC10461450/ /pubmed/37645227 http://dx.doi.org/10.3389/fmicb.2023.1236847 Text en Copyright © 2023 Wu, Zhang, Zhou, Huang, Xu, Lu, Zheng and Ouyang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Wu, Jun
Zhang, Baofu
Zhou, Shengjie
Huang, Ziyi
Xu, Yindong
Lu, Xinwu
Zheng, Xiangtao
Ouyang, Dong
Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study
title Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study
title_full Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study
title_fullStr Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study
title_full_unstemmed Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study
title_short Associations between gut microbiota and sleep: a two-sample, bidirectional Mendelian randomization study
title_sort associations between gut microbiota and sleep: a two-sample, bidirectional mendelian randomization study
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461450/
https://www.ncbi.nlm.nih.gov/pubmed/37645227
http://dx.doi.org/10.3389/fmicb.2023.1236847
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