Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression

Abstract Major depressive disorder (MDD) is a serious mental illness. Increasing evidence from both animal and human studies suggested that the gut microbiota might be involved in the onset of depression via the gut–brain axis. However, the mechanism in depression remains unclear. To explore the pro...

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Autores principales:	Yiyun Liu, Haiyang Wang, Siwen Gui, Benhua Zeng, Juncai Pu, Peng Zheng, Li Zeng, Yuanyuan Luo, You Wu, Chanjuan Zhou, Jinlin Song, Ping Ji, Hong Wei, Peng Xie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Publishing Group 2021
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/82d254e278474f6899126156665a0729
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spelling	oai:doaj.org-article:82d254e278474f6899126156665a07292021-11-14T12:11:23ZProteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression10.1038/s41398-021-01689-w2158-3188https://doaj.org/article/82d254e278474f6899126156665a07292021-11-01T00:00:00Zhttps://doi.org/10.1038/s41398-021-01689-whttps://doaj.org/toc/2158-3188Abstract Major depressive disorder (MDD) is a serious mental illness. Increasing evidence from both animal and human studies suggested that the gut microbiota might be involved in the onset of depression via the gut–brain axis. However, the mechanism in depression remains unclear. To explore the protein changes of the gut–brain axis modulated by gut microbiota, germ-free mice were transplanted with gut microbiota from MDD patients to induce depression-like behaviors. Behavioral tests were performed following fecal microbiota transplantation. A quantitative proteomics approach was used to examine changes in protein expression in the prefrontal cortex (PFC), liver, cecum, and serum. Then differential protein analysis and weighted gene coexpression network analysis were used to identify microbiota-related protein modules. Our results suggested that gut microbiota induced the alteration of protein expression levels in multiple tissues of the gut–brain axis in mice with depression-like phenotype, and these changes of the PFC and liver were model specific compared to chronic stress models. Gene ontology enrichment analysis revealed that the protein changes of the gut–brain axis were involved in a variety of biological functions, including metabolic process and inflammatory response, in which energy metabolism is the core change of the protein network. Our data provide clues for future studies in the gut–brain axis on protein level and deepen the understanding of how gut microbiota cause depression-like behaviors.Yiyun LiuHaiyang WangSiwen GuiBenhua ZengJuncai PuPeng ZhengLi ZengYuanyuan LuoYou WuChanjuan ZhouJinlin SongPing JiHong WeiPeng XieNature Publishing GrouparticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENTranslational Psychiatry, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Yiyun Liu Haiyang Wang Siwen Gui Benhua Zeng Juncai Pu Peng Zheng Li Zeng Yuanyuan Luo You Wu Chanjuan Zhou Jinlin Song Ping Ji Hong Wei Peng Xie Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
description	Abstract Major depressive disorder (MDD) is a serious mental illness. Increasing evidence from both animal and human studies suggested that the gut microbiota might be involved in the onset of depression via the gut–brain axis. However, the mechanism in depression remains unclear. To explore the protein changes of the gut–brain axis modulated by gut microbiota, germ-free mice were transplanted with gut microbiota from MDD patients to induce depression-like behaviors. Behavioral tests were performed following fecal microbiota transplantation. A quantitative proteomics approach was used to examine changes in protein expression in the prefrontal cortex (PFC), liver, cecum, and serum. Then differential protein analysis and weighted gene coexpression network analysis were used to identify microbiota-related protein modules. Our results suggested that gut microbiota induced the alteration of protein expression levels in multiple tissues of the gut–brain axis in mice with depression-like phenotype, and these changes of the PFC and liver were model specific compared to chronic stress models. Gene ontology enrichment analysis revealed that the protein changes of the gut–brain axis were involved in a variety of biological functions, including metabolic process and inflammatory response, in which energy metabolism is the core change of the protein network. Our data provide clues for future studies in the gut–brain axis on protein level and deepen the understanding of how gut microbiota cause depression-like behaviors.
format	article
author	Yiyun Liu Haiyang Wang Siwen Gui Benhua Zeng Juncai Pu Peng Zheng Li Zeng Yuanyuan Luo You Wu Chanjuan Zhou Jinlin Song Ping Ji Hong Wei Peng Xie
author_facet	Yiyun Liu Haiyang Wang Siwen Gui Benhua Zeng Juncai Pu Peng Zheng Li Zeng Yuanyuan Luo You Wu Chanjuan Zhou Jinlin Song Ping Ji Hong Wei Peng Xie
author_sort	Yiyun Liu
title	Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
title_short	Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
title_full	Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
title_fullStr	Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
title_full_unstemmed	Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
title_sort	proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression
publisher	Nature Publishing Group
publishDate	2021
url	https://doaj.org/article/82d254e278474f6899126156665a0729
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Proteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depression

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