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Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression
BACKGROUND: Gut microbiota plays a critical role in the onset and development of depression, but the underlying molecular mechanisms are unclear. This study was conducted to observe the characteristics of gut microbiota, lipid metabolism and neurotransmitters in Gut-Liver-Brain axis in depressed mic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903503/ https://www.ncbi.nlm.nih.gov/pubmed/36750892 http://dx.doi.org/10.1186/s12967-023-03942-w |
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author | Xie, Jing Zhong, Qi Wu, Wen-tao Chen, Jian-jun |
author_facet | Xie, Jing Zhong, Qi Wu, Wen-tao Chen, Jian-jun |
author_sort | Xie, Jing |
collection | PubMed |
description | BACKGROUND: Gut microbiota plays a critical role in the onset and development of depression, but the underlying molecular mechanisms are unclear. This study was conducted to observe the characteristics of gut microbiota, lipid metabolism and neurotransmitters in Gut-Liver-Brain axis in depressed mice (DM), and identify some novel perceptions on relationships between gut microbiota and depression. METHODS: A mouse model of depression was built used chronic unpredictable mild stress (CUMS). Fecal samples (measuring gut microbiota compositions, microbial genes and lipid metabolites), liver samples (measuring lipid metabolites), and hippocampus (measuring neurotransmitters) were collected. Both univariate and multivariate statistical analyses were used to identify the differential gut microbiota, metabolic signatures and neurotransmitters in DM. RESULTS: There were significant differences on both microbial and metabolic signatures between DM and control mice (CM): 71 significantly changed operational taxonomic units (OTUs) (60.56% belonged to phylum Firmicutes) and 405 differential lipid metabolites (51.11% belonged to Glycerophospholipid (GP) metabolism) were identified. Functional analysis showed that depressive-like behaviors (DLB)-related differential microbial genes were mainly enriched in GP metabolism. Weighted correlation network analysis (WGCNA) showed that DLB-related differential metabolites mainly belonged to GPs. Meanwhile, seven differential neurotransmitters were identified. Comprehensive analysis found that Lachnospiraceae and gamma-aminobutyric acid (GABA) were significantly correlated with 94.20% and 53.14% differential GPs, respectively, and GABA was significantly correlated with three main DLB phenotypes. CONCLUSION: Our results provided novel perceptions on the role of Gut-Liver-Brain axis in the onset of depression, and showed that GP metabolism might be the bridge between gut microbiota and depression. “Lachnospiraceae-GP metabolism-GABA” held the promise as a potential way between gut microbiota and brain functions in DM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-03942-w. |
format | Online Article Text |
id | pubmed-9903503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99035032023-02-08 Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression Xie, Jing Zhong, Qi Wu, Wen-tao Chen, Jian-jun J Transl Med Research BACKGROUND: Gut microbiota plays a critical role in the onset and development of depression, but the underlying molecular mechanisms are unclear. This study was conducted to observe the characteristics of gut microbiota, lipid metabolism and neurotransmitters in Gut-Liver-Brain axis in depressed mice (DM), and identify some novel perceptions on relationships between gut microbiota and depression. METHODS: A mouse model of depression was built used chronic unpredictable mild stress (CUMS). Fecal samples (measuring gut microbiota compositions, microbial genes and lipid metabolites), liver samples (measuring lipid metabolites), and hippocampus (measuring neurotransmitters) were collected. Both univariate and multivariate statistical analyses were used to identify the differential gut microbiota, metabolic signatures and neurotransmitters in DM. RESULTS: There were significant differences on both microbial and metabolic signatures between DM and control mice (CM): 71 significantly changed operational taxonomic units (OTUs) (60.56% belonged to phylum Firmicutes) and 405 differential lipid metabolites (51.11% belonged to Glycerophospholipid (GP) metabolism) were identified. Functional analysis showed that depressive-like behaviors (DLB)-related differential microbial genes were mainly enriched in GP metabolism. Weighted correlation network analysis (WGCNA) showed that DLB-related differential metabolites mainly belonged to GPs. Meanwhile, seven differential neurotransmitters were identified. Comprehensive analysis found that Lachnospiraceae and gamma-aminobutyric acid (GABA) were significantly correlated with 94.20% and 53.14% differential GPs, respectively, and GABA was significantly correlated with three main DLB phenotypes. CONCLUSION: Our results provided novel perceptions on the role of Gut-Liver-Brain axis in the onset of depression, and showed that GP metabolism might be the bridge between gut microbiota and depression. “Lachnospiraceae-GP metabolism-GABA” held the promise as a potential way between gut microbiota and brain functions in DM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-03942-w. BioMed Central 2023-02-07 /pmc/articles/PMC9903503/ /pubmed/36750892 http://dx.doi.org/10.1186/s12967-023-03942-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Xie, Jing Zhong, Qi Wu, Wen-tao Chen, Jian-jun Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
title | Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
title_full | Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
title_fullStr | Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
title_full_unstemmed | Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
title_short | Multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
title_sort | multi-omics data reveals the important role of glycerophospholipid metabolism in the crosstalk between gut and brain in depression |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903503/ https://www.ncbi.nlm.nih.gov/pubmed/36750892 http://dx.doi.org/10.1186/s12967-023-03942-w |
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