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Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis
Schizophrenia, a common mental disorder, has a tremendous impact on the health and economy of people worldwide. Evidence suggests that the microbial-gut-brain axis is an important pathway for the interaction between the gut microbiome and the development of schizophrenia. What is not clear is how ch...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247572/ https://www.ncbi.nlm.nih.gov/pubmed/35783418 http://dx.doi.org/10.3389/fmicb.2022.909729 |
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author | Xiang, Min Zheng, Liqin Pu, Daoshen Lin, Feng Ma, Xiaodong Ye, Huiqian Pu, Daoqiong Zhang, Ying Wang, Dong Wang, Xiaoli Zou, Kaiqing Chen, Linqi Zhang, Yong Sun, Zhanjiang Zhang, Tao Wu, Guolin |
author_facet | Xiang, Min Zheng, Liqin Pu, Daoshen Lin, Feng Ma, Xiaodong Ye, Huiqian Pu, Daoqiong Zhang, Ying Wang, Dong Wang, Xiaoli Zou, Kaiqing Chen, Linqi Zhang, Yong Sun, Zhanjiang Zhang, Tao Wu, Guolin |
author_sort | Xiang, Min |
collection | PubMed |
description | Schizophrenia, a common mental disorder, has a tremendous impact on the health and economy of people worldwide. Evidence suggests that the microbial-gut-brain axis is an important pathway for the interaction between the gut microbiome and the development of schizophrenia. What is not clear is how changes in the gut microbiota composition and structure during antipsychotic treatment improve the symptoms of schizophrenia. In this study, 25 patients with schizophrenia were recruited. Their fecal samples were collected before and after hospital treatment for 14–19 days. The composition and structure of the intestinal microbiota were evaluated by 16S rRNA sequencing analysis, and the results showed significant differences in fecal microbiota before and after treatment. Firmicutes (relative abundances of 82.60 and 86.64%) and Gemminger (relative abundances of 14.17 and 13.57%) were the first dominant species at the phylum and genus levels, respectively. The random forest algorithm and co-occurrence network analysis demonstrated that intestinal flora (especially the core species ASV57) could be used as biomarkers to distinguish different clinical states and match treatment regimens accordingly. In addition, after fecal microbiota transplantation, antibiotic-treated recipient mice showed multiple behavioral improvements. These included decreased psychomotor hyperactivity, increased social interaction, and memory. In conclusion, this study suggests that differences in the composition and structure of gut microbiota after treatment are associated with the development and severity of schizophrenia. Results may provide a potential target for the treatment of this disorder. |
format | Online Article Text |
id | pubmed-9247572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92475722022-07-02 Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis Xiang, Min Zheng, Liqin Pu, Daoshen Lin, Feng Ma, Xiaodong Ye, Huiqian Pu, Daoqiong Zhang, Ying Wang, Dong Wang, Xiaoli Zou, Kaiqing Chen, Linqi Zhang, Yong Sun, Zhanjiang Zhang, Tao Wu, Guolin Front Microbiol Microbiology Schizophrenia, a common mental disorder, has a tremendous impact on the health and economy of people worldwide. Evidence suggests that the microbial-gut-brain axis is an important pathway for the interaction between the gut microbiome and the development of schizophrenia. What is not clear is how changes in the gut microbiota composition and structure during antipsychotic treatment improve the symptoms of schizophrenia. In this study, 25 patients with schizophrenia were recruited. Their fecal samples were collected before and after hospital treatment for 14–19 days. The composition and structure of the intestinal microbiota were evaluated by 16S rRNA sequencing analysis, and the results showed significant differences in fecal microbiota before and after treatment. Firmicutes (relative abundances of 82.60 and 86.64%) and Gemminger (relative abundances of 14.17 and 13.57%) were the first dominant species at the phylum and genus levels, respectively. The random forest algorithm and co-occurrence network analysis demonstrated that intestinal flora (especially the core species ASV57) could be used as biomarkers to distinguish different clinical states and match treatment regimens accordingly. In addition, after fecal microbiota transplantation, antibiotic-treated recipient mice showed multiple behavioral improvements. These included decreased psychomotor hyperactivity, increased social interaction, and memory. In conclusion, this study suggests that differences in the composition and structure of gut microbiota after treatment are associated with the development and severity of schizophrenia. Results may provide a potential target for the treatment of this disorder. Frontiers Media S.A. 2022-06-17 /pmc/articles/PMC9247572/ /pubmed/35783418 http://dx.doi.org/10.3389/fmicb.2022.909729 Text en Copyright © 2022 Xiang, Zheng, Pu, Lin, Ma, Ye, Pu, Zhang, Wang, Wang, Zou, Chen, Zhang, Sun, Zhang and Wu. 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 Xiang, Min Zheng, Liqin Pu, Daoshen Lin, Feng Ma, Xiaodong Ye, Huiqian Pu, Daoqiong Zhang, Ying Wang, Dong Wang, Xiaoli Zou, Kaiqing Chen, Linqi Zhang, Yong Sun, Zhanjiang Zhang, Tao Wu, Guolin Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis |
title | Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis |
title_full | Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis |
title_fullStr | Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis |
title_full_unstemmed | Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis |
title_short | Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis |
title_sort | intestinal microbes in patients with schizophrenia undergoing short-term treatment: core species identification based on co-occurrence networks and regression analysis |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247572/ https://www.ncbi.nlm.nih.gov/pubmed/35783418 http://dx.doi.org/10.3389/fmicb.2022.909729 |
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