Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression
Depression is associated with gut dysbiosis that disrupts a gut-brain bidirectional axis. Gray matter volume changes in cortical and subcortical structures, including prefrontal regions and the hippocampus, have also been noted in depressive disorders. However, the link between gut microbiota and br...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-07-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.885393/full |
| _version_ | 1818002442399252480 |
|---|---|
| author | Chia-Fen Tsai Chia-Fen Tsai Chia-Hsien Chuang Yen-Po Wang Yen-Po Wang Yen-Po Wang Yen-Po Wang Yen-Po Wang Ya-Bo Lin Pei-Chi Tu Pei-Chi Tu Pei-Chi Tu Pei-Yi Liu Pei-Yi Liu Po-Shan Wu Po-Shan Wu Po-Shan Wu Chung-Yen Lin Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu |
| author_facet | Chia-Fen Tsai Chia-Fen Tsai Chia-Hsien Chuang Yen-Po Wang Yen-Po Wang Yen-Po Wang Yen-Po Wang Yen-Po Wang Ya-Bo Lin Pei-Chi Tu Pei-Chi Tu Pei-Chi Tu Pei-Yi Liu Pei-Yi Liu Po-Shan Wu Po-Shan Wu Po-Shan Wu Chung-Yen Lin Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu |
| author_sort | Chia-Fen Tsai |
| collection | DOAJ |
| description | Depression is associated with gut dysbiosis that disrupts a gut-brain bidirectional axis. Gray matter volume changes in cortical and subcortical structures, including prefrontal regions and the hippocampus, have also been noted in depressive disorders. However, the link between gut microbiota and brain structures in depressed patients remains elusive. Neuropsychiatric measures, stool samples, and structural brain images were collected from 36 patients with late-life depression (LLD) and 17 healthy controls. 16S ribosomal RNA (rRNA) gene sequencing was used to profile stool microbial communities for quantitation of microbial composition, abundance, and diversity. T1-weighted brain images were assessed with voxel-based morphometry to detect alterations in gray matter volume between groups. Correlation analysis was performed to identify the possible association between depressive symptoms, brain structures and gut microbiota. We found a significant difference in the gut microbial composition between patients with late-life depression (LLD) and healthy controls. The genera Enterobacter and Burkholderia were positively correlated with depressive symptoms and negatively correlated with brain structural signatures in regions associated with memory, somatosensory integration, and emotional processing/cognition/regulation. Our study purports the microbiota-gut-brain axis as a potential mechanism mediating the symptomatology of LLD patients, which may facilitate the development of therapeutic strategies targeting gut microbes in the treatment of elderly depressed patients. |
| first_indexed | 2024-04-14T03:46:02Z |
| format | Article |
| id | doaj.art-614b54bad3d94460ae4e37e7db3f187f |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-14T03:46:02Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-614b54bad3d94460ae4e37e7db3f187f2022-12-22T02:14:14ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-07-011410.3389/fnagi.2022.885393885393Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depressionChia-Fen Tsai0Chia-Fen Tsai1Chia-Hsien Chuang2Yen-Po Wang3Yen-Po Wang4Yen-Po Wang5Yen-Po Wang6Yen-Po Wang7Ya-Bo Lin8Pei-Chi Tu9Pei-Chi Tu10Pei-Chi Tu11Pei-Yi Liu12Pei-Yi Liu13Po-Shan Wu14Po-Shan Wu15Po-Shan Wu16Chung-Yen Lin17Ching-Liang Lu18Ching-Liang Lu19Ching-Liang Lu20Ching-Liang Lu21Ching-Liang Lu22Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanDepartment of Psychiatry, Taipei Veterans General Hospital, Taipei, TaiwanInstitute of Information Science, Academia Sinica, Taipei, TaiwanFaculty of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, TaiwanEndoscopy Center for Diagnosis and Treatment, Taipei Veterans General Hospital, Taipei, TaiwanDivision of Gastroenterology, Taipei Veterans General Hospital, Taipei, TaiwanDepartment of Medicine, Taipei Veterans General Hospital, Taipei, TaiwanInstitute of Information Science, Academia Sinica, Taipei, TaiwanDepartment of Psychiatry, Taipei Veterans General Hospital, Taipei, TaiwanInstitute of Philosophy of Mind and Cognition, National Yang Ming Chiao Tung University, Taipei, TaiwanDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, TaiwanInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, TaiwanEndoscopy Center for Diagnosis and Treatment, Taipei Veterans General Hospital, Taipei, TaiwanFaculty of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan0Department of Dietetics and Nutrition, Taipei Veterans General Hospital, Taipei, TaiwanInstitute of Information Science, Academia Sinica, Taipei, TaiwanFaculty of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanInstitute of Brain Science, National Yang Ming Chiao Tung University, Taipei, TaiwanEndoscopy Center for Diagnosis and Treatment, Taipei Veterans General Hospital, Taipei, TaiwanDivision of Gastroenterology, Taipei Veterans General Hospital, Taipei, TaiwanDepartment of Medicine, Taipei Veterans General Hospital, Taipei, TaiwanDepression is associated with gut dysbiosis that disrupts a gut-brain bidirectional axis. Gray matter volume changes in cortical and subcortical structures, including prefrontal regions and the hippocampus, have also been noted in depressive disorders. However, the link between gut microbiota and brain structures in depressed patients remains elusive. Neuropsychiatric measures, stool samples, and structural brain images were collected from 36 patients with late-life depression (LLD) and 17 healthy controls. 16S ribosomal RNA (rRNA) gene sequencing was used to profile stool microbial communities for quantitation of microbial composition, abundance, and diversity. T1-weighted brain images were assessed with voxel-based morphometry to detect alterations in gray matter volume between groups. Correlation analysis was performed to identify the possible association between depressive symptoms, brain structures and gut microbiota. We found a significant difference in the gut microbial composition between patients with late-life depression (LLD) and healthy controls. The genera Enterobacter and Burkholderia were positively correlated with depressive symptoms and negatively correlated with brain structural signatures in regions associated with memory, somatosensory integration, and emotional processing/cognition/regulation. Our study purports the microbiota-gut-brain axis as a potential mechanism mediating the symptomatology of LLD patients, which may facilitate the development of therapeutic strategies targeting gut microbes in the treatment of elderly depressed patients.https://www.frontiersin.org/articles/10.3389/fnagi.2022.885393/fullbrain-gut axisbrain imageelderlymood disorderEnterobacter and Burkholderia |
| spellingShingle | Chia-Fen Tsai Chia-Fen Tsai Chia-Hsien Chuang Yen-Po Wang Yen-Po Wang Yen-Po Wang Yen-Po Wang Yen-Po Wang Ya-Bo Lin Pei-Chi Tu Pei-Chi Tu Pei-Chi Tu Pei-Yi Liu Pei-Yi Liu Po-Shan Wu Po-Shan Wu Po-Shan Wu Chung-Yen Lin Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Ching-Liang Lu Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression Frontiers in Aging Neuroscience brain-gut axis brain image elderly mood disorder Enterobacter and Burkholderia |
| title | Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression |
| title_full | Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression |
| title_fullStr | Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression |
| title_full_unstemmed | Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression |
| title_short | Differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late-life depression |
| title_sort | differences in gut microbiota correlate with symptoms and regional brain volumes in patients with late life depression |
| topic | brain-gut axis brain image elderly mood disorder Enterobacter and Burkholderia |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.885393/full |
| work_keys_str_mv | AT chiafentsai differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chiafentsai differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chiahsienchuang differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT yenpowang differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT yenpowang differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT yenpowang differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT yenpowang differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT yenpowang differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT yabolin differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT peichitu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT peichitu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT peichitu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT peiyiliu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT peiyiliu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT poshanwu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT poshanwu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT poshanwu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chungyenlin differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chinglianglu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chinglianglu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chinglianglu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chinglianglu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression AT chinglianglu differencesingutmicrobiotacorrelatewithsymptomsandregionalbrainvolumesinpatientswithlatelifedepression |