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Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity

INTRODUCTION: Sleep deprivation (SD) and obesity are common in modern societies. SD and obesity frequently coexist, but research on the combined consequences of SD and obesity has been limited. In this study, we investigated the gut microbiota and host responses to SD and high-fat diet (HFD)-induced...

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Autores principales: Lee, Jibeom, Kang, Jiseung, Kim, Yumin, Lee, Sunjae, Oh, Chang-Myung, Kim, Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990496/
https://www.ncbi.nlm.nih.gov/pubmed/36896179
http://dx.doi.org/10.3389/fendo.2023.1117259
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author Lee, Jibeom
Kang, Jiseung
Kim, Yumin
Lee, Sunjae
Oh, Chang-Myung
Kim, Tae
author_facet Lee, Jibeom
Kang, Jiseung
Kim, Yumin
Lee, Sunjae
Oh, Chang-Myung
Kim, Tae
author_sort Lee, Jibeom
collection PubMed
description INTRODUCTION: Sleep deprivation (SD) and obesity are common in modern societies. SD and obesity frequently coexist, but research on the combined consequences of SD and obesity has been limited. In this study, we investigated the gut microbiota and host responses to SD and high-fat diet (HFD)-induced obesity. In addition, we attempted to identify key mediators of the microbiota-gut-brain axis. METHODS: C57BL/6J mice were divided into four groups based on whether they were sleep deprived and whether they were fed a standard chow diet (SCD) or HFD. We then performed fecal microbiome shotgun sequencing, gut transcriptome analysis using RNA sequencing, and brain mRNA expression analysis using the nanoString nCounter Mouse Neuroinflammation Panel. RESULTS: The gut microbiota was significantly altered by the HFD, whereas the gut transcriptome was primarily influenced by SD. Sleep and diet are both important in the inflammatory system of the brain. When SD and the HFD were combined, the inflammatory system of the brain was severely disrupted. In addition, inosine-5' phosphate may be the gut microbial metabolite that mediates microbiota-gut-brain interactions. To identify the major drivers of this interaction, we analyzed the multi-omics data. Integrative analysis revealed two driver factors that were mostly composed of the gut microbiota. We discovered that the gut microbiota may be the primary driver of microbiota-gut-brain interactions. DISCUSSION: These findings imply that healing gut dysbiosis may be a viable therapeutic target for enhancing sleep quality and curing obesity-related dysfunction.
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spelling pubmed-99904962023-03-08 Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity Lee, Jibeom Kang, Jiseung Kim, Yumin Lee, Sunjae Oh, Chang-Myung Kim, Tae Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Sleep deprivation (SD) and obesity are common in modern societies. SD and obesity frequently coexist, but research on the combined consequences of SD and obesity has been limited. In this study, we investigated the gut microbiota and host responses to SD and high-fat diet (HFD)-induced obesity. In addition, we attempted to identify key mediators of the microbiota-gut-brain axis. METHODS: C57BL/6J mice were divided into four groups based on whether they were sleep deprived and whether they were fed a standard chow diet (SCD) or HFD. We then performed fecal microbiome shotgun sequencing, gut transcriptome analysis using RNA sequencing, and brain mRNA expression analysis using the nanoString nCounter Mouse Neuroinflammation Panel. RESULTS: The gut microbiota was significantly altered by the HFD, whereas the gut transcriptome was primarily influenced by SD. Sleep and diet are both important in the inflammatory system of the brain. When SD and the HFD were combined, the inflammatory system of the brain was severely disrupted. In addition, inosine-5' phosphate may be the gut microbial metabolite that mediates microbiota-gut-brain interactions. To identify the major drivers of this interaction, we analyzed the multi-omics data. Integrative analysis revealed two driver factors that were mostly composed of the gut microbiota. We discovered that the gut microbiota may be the primary driver of microbiota-gut-brain interactions. DISCUSSION: These findings imply that healing gut dysbiosis may be a viable therapeutic target for enhancing sleep quality and curing obesity-related dysfunction. Frontiers Media S.A. 2023-02-21 /pmc/articles/PMC9990496/ /pubmed/36896179 http://dx.doi.org/10.3389/fendo.2023.1117259 Text en Copyright © 2023 Lee, Kang, Kim, Lee, Oh and Kim 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 Endocrinology
Lee, Jibeom
Kang, Jiseung
Kim, Yumin
Lee, Sunjae
Oh, Chang-Myung
Kim, Tae
Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
title Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
title_full Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
title_fullStr Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
title_full_unstemmed Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
title_short Integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
title_sort integrated analysis of the microbiota-gut-brain axis in response to sleep deprivation and diet-induced obesity
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990496/
https://www.ncbi.nlm.nih.gov/pubmed/36896179
http://dx.doi.org/10.3389/fendo.2023.1117259
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