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...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2022.909729/full |
| _version_ | 1818555505663016960 |
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| author | Min Xiang Liqin Zheng Daoshen Pu Feng Lin Xiaodong Ma Huiqian Ye Daoqiong Pu Ying Zhang Dong Wang Xiaoli Wang Kaiqing Zou Linqi Chen Yong Zhang Zhanjiang Sun Tao Zhang Guolin Wu |
| author_facet | Min Xiang Liqin Zheng Daoshen Pu Feng Lin Xiaodong Ma Huiqian Ye Daoqiong Pu Ying Zhang Dong Wang Xiaoli Wang Kaiqing Zou Linqi Chen Yong Zhang Zhanjiang Sun Tao Zhang Guolin Wu |
| author_sort | Min Xiang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-12T09:54:20Z |
| format | Article |
| id | doaj.art-d1197da8c4fe44f6b6b99ffce7c94c67 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-12-12T09:54:20Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-d1197da8c4fe44f6b6b99ffce7c94c672022-12-22T00:28:11ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-06-011310.3389/fmicb.2022.909729909729Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression AnalysisMin Xiang0Liqin Zheng1Daoshen Pu2Feng Lin3Xiaodong Ma4Huiqian Ye5Daoqiong Pu6Ying Zhang7Dong Wang8Xiaoli Wang9Kaiqing Zou10Linqi Chen11Yong Zhang12Zhanjiang Sun13Tao Zhang14Guolin Wu15Medical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaMOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, ChinaThe Fourth People's Hospital of Ya'an, Ya'an, ChinaMedical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaMedical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaMedical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaMedical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaMedical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaPsychiatry Department, The Fourth People's Hospital of Ya'an, Ya'an, ChinaInternal Medicine, The Fourth People's Hospital of Ya'an, Ya'an, ChinaThe Outpatient Department, The Fourth People's Hospital of Ya'an, Ya'an, ChinaMOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, ChinaMedical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, ChinaSchizophrenia, 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.https://www.frontiersin.org/articles/10.3389/fmicb.2022.909729/fullschizophrenia16S rRNA sequencinggut-brain axisgut microbiotafecal microbiota transplantation |
| spellingShingle | Min Xiang Liqin Zheng Daoshen Pu Feng Lin Xiaodong Ma Huiqian Ye Daoqiong Pu Ying Zhang Dong Wang Xiaoli Wang Kaiqing Zou Linqi Chen Yong Zhang Zhanjiang Sun Tao Zhang Guolin Wu Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis Frontiers in Microbiology schizophrenia 16S rRNA sequencing gut-brain axis gut microbiota fecal microbiota transplantation |
| 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 | schizophrenia 16S rRNA sequencing gut-brain axis gut microbiota fecal microbiota transplantation |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2022.909729/full |
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