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Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia
Schizophrenia (SCZ) is associated with several immune dysfunctions, including elevated levels of pro-inflammatory cytokines. Microorganisms and their metabolites have been found to regulate the immune system, and that intestinal microbiota is significantly disturbed in schizophrenic patients. To sys...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927969/ https://www.ncbi.nlm.nih.gov/pubmed/35309369 http://dx.doi.org/10.3389/fimmu.2022.812293 |
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author | Fan, Yajuan Gao, Yuan Ma, Qingyan Yang, Zai Zhao, Binbin He, Xiaoyan Yang, Jian Yan, Bin Gao, Fengjie Qian, Li Wang, Wei Zhu, Feng Ma, Xiancang |
author_facet | Fan, Yajuan Gao, Yuan Ma, Qingyan Yang, Zai Zhao, Binbin He, Xiaoyan Yang, Jian Yan, Bin Gao, Fengjie Qian, Li Wang, Wei Zhu, Feng Ma, Xiancang |
author_sort | Fan, Yajuan |
collection | PubMed |
description | Schizophrenia (SCZ) is associated with several immune dysfunctions, including elevated levels of pro-inflammatory cytokines. Microorganisms and their metabolites have been found to regulate the immune system, and that intestinal microbiota is significantly disturbed in schizophrenic patients. To systematically investigate aberrant gut-metabolome-immune network in schizophrenia, we performed an integrative analysis of intestinal microbiota, serum metabolome, and serum inflammatory cytokines in 63 SCZ patients and 57 healthy controls using a multi-omics strategy. Eighteen differentially abundant metabolite clusters were altered in patients displayed higher cytokine levels, with a significant increase in pro-inflammatory metabolites and a significant decrease in anti-inflammatory metabolites (such as oleic acid and linolenic acid). The bacterial co-abundance groups in the gut displayed more numerous and stronger correlations with circulating metabolites than with cytokines. By integrating these data, we identified that certain bacteria might affect inflammatory cytokines by modulating host metabolites, such as amino acids and fatty acids. A random forest model was constructed based on omics data, and seven serum metabolites significantly associated with cytokines and α-diversity of intestinal microbiota were able to accurately distinguish the cases from the controls with an area under the receiver operating characteristic curve of 0.99. Our results indicated aberrant gut-metabolome-immune network in SCZ and gut microbiota may influence immune responses by regulating host metabolic processes. These findings suggest a mechanism by which microbial-derived metabolites regulated inflammatory cytokines and insights into the diagnosis and treatment of mental disorders from the microbial-immune system in the future. |
format | Online Article Text |
id | pubmed-8927969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89279692022-03-18 Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia Fan, Yajuan Gao, Yuan Ma, Qingyan Yang, Zai Zhao, Binbin He, Xiaoyan Yang, Jian Yan, Bin Gao, Fengjie Qian, Li Wang, Wei Zhu, Feng Ma, Xiancang Front Immunol Immunology Schizophrenia (SCZ) is associated with several immune dysfunctions, including elevated levels of pro-inflammatory cytokines. Microorganisms and their metabolites have been found to regulate the immune system, and that intestinal microbiota is significantly disturbed in schizophrenic patients. To systematically investigate aberrant gut-metabolome-immune network in schizophrenia, we performed an integrative analysis of intestinal microbiota, serum metabolome, and serum inflammatory cytokines in 63 SCZ patients and 57 healthy controls using a multi-omics strategy. Eighteen differentially abundant metabolite clusters were altered in patients displayed higher cytokine levels, with a significant increase in pro-inflammatory metabolites and a significant decrease in anti-inflammatory metabolites (such as oleic acid and linolenic acid). The bacterial co-abundance groups in the gut displayed more numerous and stronger correlations with circulating metabolites than with cytokines. By integrating these data, we identified that certain bacteria might affect inflammatory cytokines by modulating host metabolites, such as amino acids and fatty acids. A random forest model was constructed based on omics data, and seven serum metabolites significantly associated with cytokines and α-diversity of intestinal microbiota were able to accurately distinguish the cases from the controls with an area under the receiver operating characteristic curve of 0.99. Our results indicated aberrant gut-metabolome-immune network in SCZ and gut microbiota may influence immune responses by regulating host metabolic processes. These findings suggest a mechanism by which microbial-derived metabolites regulated inflammatory cytokines and insights into the diagnosis and treatment of mental disorders from the microbial-immune system in the future. Frontiers Media S.A. 2022-03-03 /pmc/articles/PMC8927969/ /pubmed/35309369 http://dx.doi.org/10.3389/fimmu.2022.812293 Text en Copyright © 2022 Fan, Gao, Ma, Yang, Zhao, He, Yang, Yan, Gao, Qian, Wang, Zhu and Ma 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 | Immunology Fan, Yajuan Gao, Yuan Ma, Qingyan Yang, Zai Zhao, Binbin He, Xiaoyan Yang, Jian Yan, Bin Gao, Fengjie Qian, Li Wang, Wei Zhu, Feng Ma, Xiancang Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia |
title | Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia |
title_full | Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia |
title_fullStr | Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia |
title_full_unstemmed | Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia |
title_short | Multi-Omics Analysis Reveals Aberrant Gut-Metabolome-Immune Network in Schizophrenia |
title_sort | multi-omics analysis reveals aberrant gut-metabolome-immune network in schizophrenia |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927969/ https://www.ncbi.nlm.nih.gov/pubmed/35309369 http://dx.doi.org/10.3389/fimmu.2022.812293 |
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