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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2021-11-01
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| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-021-01689-w |
| _version_ | 1818394444409339904 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T06:01:18Z |
| format | Article |
| id | doaj.art-82d254e278474f6899126156665a0729 |
| institution | Directory Open Access Journal |
| issn | 2158-3188 |
| language | English |
| last_indexed | 2024-12-14T06:01:18Z |
| publishDate | 2021-11-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj.art-82d254e278474f6899126156665a07292022-12-21T23:14:25ZengNature Publishing GroupTranslational Psychiatry2158-31882021-11-011111810.1038/s41398-021-01689-wProteomics analysis of the gut–brain axis in a gut microbiota-dysbiosis model of depressionYiyun Liu0Haiyang Wang1Siwen Gui2Benhua Zeng3Juncai Pu4Peng Zheng5Li Zeng6Yuanyuan Luo7You Wu8Chanjuan Zhou9Jinlin Song10Ping Ji11Hong Wei12Peng Xie13NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityDepartment of Laboratory Animal Science, College of Basic Medical Sciences, Third Military Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityCollege of Stomatology, Chongqing Medical UniversityCollege of Stomatology, Chongqing Medical UniversityDepartment of Laboratory Animal Science, College of Basic Medical Sciences, Third Military Medical UniversityNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical UniversityAbstract 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.https://doi.org/10.1038/s41398-021-01689-w |
| spellingShingle | 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 Translational Psychiatry |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41398-021-01689-w |
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