Exploration of microbiota targets for major depressive disorder and mood related traits
Growing evidence suggests the link between gut microbiota and mood regulation. The current study aimed to identify microbiota targets for major depressive disorder (MDD) and mood-related traits in Taiwanese samples, while taking into account the influence of dietary patterns. We recruited 36 MDD pat...
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| Published in | Journal of psychiatric research Vol. 111; pp. 74 - 82 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Ltd
01.04.2019
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Growing evidence suggests the link between gut microbiota and mood regulation. The current study aimed to identify microbiota targets for major depressive disorder (MDD) and mood-related traits in Taiwanese samples, while taking into account the influence of dietary patterns. We recruited 36 MDD patients and 37 healthy controls for 16S rRNA gene sequencing. We assessed nutrient content using food frequency questionnaire, and mood related phenotypes, including depressive severity, anxiety, and perceived stress. Analysis of composition of microbiomes (ANCOM) models were performed to evaluate microbiota compositions between patients and controls, while adjusted for fat intake% and sequencing platforms. We found 23 taxa (4 phyla, 7 families and 12 genera) to be associated with depression and beta diversity was differed between groups. Phylum Actinobacteria and Firmicutes were overrepresented in MDD patients. At genus level, Bifidobacterium (7%) and Blautia (8%) had relatively high abundance among MDD patients, while Prevotella (16%) had high abundance in controls. Holdemania exhibited moderate correlation with anxiety (r = 0.65) and perceived stress level (r = 0.49) mainly in MDD patients but not controls. Pathway analyses revealed that pentose phosphate and starch and sucrose metabolism processes were important pathways for depression via microbiota functions. In conclusion, our results revealed microbiota targets for depression that are independent of fat intake. It is worthwhile to conduct further studies to replicate the current findings and to integrate with biochemistry and metabolomics data to better understand the functions of identified targets. |
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| AbstractList | Growing evidence suggests the link between gut microbiota and mood regulation. The current study aimed to identify microbiota targets for major depressive disorder (MDD) and mood-related traits in Taiwanese samples, while taking into account the influence of dietary patterns. We recruited 36 MDD patients and 37 healthy controls for 16S rRNA gene sequencing. We assessed nutrient content using food frequency questionnaire, and mood related phenotypes, including depressive severity, anxiety, and perceived stress. Analysis of composition of microbiomes (ANCOM) models were performed to evaluate microbiota compositions between patients and controls, while adjusted for fat intake% and sequencing platforms. We found 23 taxa (4 phyla, 7 families and 12 genera) to be associated with depression and beta diversity was differed between groups. Phylum Actinobacteria and Firmicutes were overrepresented in MDD patients. At genus level, Bifidobacterium (7%) and Blautia (8%) had relatively high abundance among MDD patients, while Prevotella (16%) had high abundance in controls. Holdemania exhibited moderate correlation with anxiety (r = 0.65) and perceived stress level (r = 0.49) mainly in MDD patients but not controls. Pathway analyses revealed that pentose phosphate and starch and sucrose metabolism processes were important pathways for depression via microbiota functions. In conclusion, our results revealed microbiota targets for depression that are independent of fat intake. It is worthwhile to conduct further studies to replicate the current findings and to integrate with biochemistry and metabolomics data to better understand the functions of identified targets. Growing evidence suggests the link between gut microbiota and mood regulation. The current study aimed to identify microbiota targets for major depressive disorder (MDD) and mood-related traits in Taiwanese samples, while taking into account the influence of dietary patterns. We recruited 36 MDD patients and 37 healthy controls for 16S rRNA gene sequencing. We assessed nutrient content using food frequency questionnaire, and mood related phenotypes, including depressive severity, anxiety, and perceived stress. Analysis of composition of microbiomes (ANCOM) models were performed to evaluate microbiota compositions between patients and controls, while adjusted for fat intake% and sequencing platforms. We found 23 taxa (4 phyla, 7 families and 12 genera) to be associated with depression and beta diversity was differed between groups. Phylum Actinobacteria and Firmicutes were overrepresented in MDD patients. At genus level, Bifidobacterium (7%) and Blautia (8%) had relatively high abundance among MDD patients, while Prevotella (16%) had high abundance in controls. Holdemania exhibited moderate correlation with anxiety (r = 0.65) and perceived stress level (r = 0.49) mainly in MDD patients but not controls. Pathway analyses revealed that pentose phosphate and starch and sucrose metabolism processes were important pathways for depression via microbiota functions. In conclusion, our results revealed microbiota targets for depression that are independent of fat intake. It is worthwhile to conduct further studies to replicate the current findings and to integrate with biochemistry and metabolomics data to better understand the functions of identified targets.Growing evidence suggests the link between gut microbiota and mood regulation. The current study aimed to identify microbiota targets for major depressive disorder (MDD) and mood-related traits in Taiwanese samples, while taking into account the influence of dietary patterns. We recruited 36 MDD patients and 37 healthy controls for 16S rRNA gene sequencing. We assessed nutrient content using food frequency questionnaire, and mood related phenotypes, including depressive severity, anxiety, and perceived stress. Analysis of composition of microbiomes (ANCOM) models were performed to evaluate microbiota compositions between patients and controls, while adjusted for fat intake% and sequencing platforms. We found 23 taxa (4 phyla, 7 families and 12 genera) to be associated with depression and beta diversity was differed between groups. Phylum Actinobacteria and Firmicutes were overrepresented in MDD patients. At genus level, Bifidobacterium (7%) and Blautia (8%) had relatively high abundance among MDD patients, while Prevotella (16%) had high abundance in controls. Holdemania exhibited moderate correlation with anxiety (r = 0.65) and perceived stress level (r = 0.49) mainly in MDD patients but not controls. Pathway analyses revealed that pentose phosphate and starch and sucrose metabolism processes were important pathways for depression via microbiota functions. In conclusion, our results revealed microbiota targets for depression that are independent of fat intake. It is worthwhile to conduct further studies to replicate the current findings and to integrate with biochemistry and metabolomics data to better understand the functions of identified targets. |
| Author | Lu, Mong-Liang Wu, Chi-Shin Chen, Chun-Hsin Kuo, Po-Hsiu Chen, I-Ming Liu, Yen-Wenn Lee, Meei-Shyuan Liao, Shih-Cheng Chen, Hsi-Chung Chung, Yu-Chu Ella Ni, Yen-Hsuan Shih, Wei-Liang Huang, Ming-Chyi Chuang, Li-Chung Chou, Hsiang-Chin Lori Lai, Mei-Shu |
| Author_xml | – sequence: 1 givenname: Yu-Chu Ella surname: Chung fullname: Chung, Yu-Chu Ella organization: Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan – sequence: 2 givenname: Hsi-Chung orcidid: 0000-0003-3191-0093 surname: Chen fullname: Chen, Hsi-Chung organization: Department of Psychiatry, National Taiwan University Hospital, Taiwan – sequence: 3 givenname: Hsiang-Chin Lori surname: Chou fullname: Chou, Hsiang-Chin Lori organization: Department of Epidemiology, University of California Los Angeles, Los Angeles, CA, USA – sequence: 4 givenname: I-Ming orcidid: 0000-0001-7759-6648 surname: Chen fullname: Chen, I-Ming organization: Department of Psychiatry, National Taiwan University Hospital, Taiwan – sequence: 5 givenname: Meei-Shyuan surname: Lee fullname: Lee, Meei-Shyuan organization: School of Public Health, National Defense Medical Center, Taipei, Taiwan – sequence: 6 givenname: Li-Chung surname: Chuang fullname: Chuang, Li-Chung organization: Department of Nursing, Cardinal Tien Junior College of Healthcare & Management, Yilan, Taiwan – sequence: 7 givenname: Yen-Wenn surname: Liu fullname: Liu, Yen-Wenn organization: Institute of Biochemistry and Molecular Biology, National Yang-Ming University, Taipei, Taiwan – sequence: 8 givenname: Mong-Liang surname: Lu fullname: Lu, Mong-Liang organization: Department of Psychiatry, Taipei Medical University-Wan Fang Hospital, Taipei, Taiwan – sequence: 9 givenname: Chun-Hsin surname: Chen fullname: Chen, Chun-Hsin organization: Department of Psychiatry, Taipei Medical University-Wan Fang Hospital, Taipei, Taiwan – sequence: 10 givenname: Chi-Shin surname: Wu fullname: Wu, Chi-Shin organization: Department of Psychiatry, National Taiwan University Hospital, Taiwan – sequence: 11 givenname: Ming-Chyi surname: Huang fullname: Huang, Ming-Chyi organization: Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan – sequence: 12 givenname: Shih-Cheng orcidid: 0000-0003-4129-0879 surname: Liao fullname: Liao, Shih-Cheng organization: Department of Psychiatry, National Taiwan University Hospital, Taiwan – sequence: 13 givenname: Yen-Hsuan surname: Ni fullname: Ni, Yen-Hsuan organization: Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan – sequence: 14 givenname: Mei-Shu surname: Lai fullname: Lai, Mei-Shu organization: Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan – sequence: 15 givenname: Wei-Liang surname: Shih fullname: Shih, Wei-Liang email: wlshih@ntu.edu.tw organization: Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan – sequence: 16 givenname: Po-Hsiu surname: Kuo fullname: Kuo, Po-Hsiu email: phkuo@ntu.edu.tw organization: Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30685565$$D View this record in MEDLINE/PubMed |
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| Keywords | Microbiota Anxiety Perceived stress Gut-brain axis Major depressive disorder |
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| SubjectTerms | Anxiety Gut-brain axis Major depressive disorder Microbiota Perceived stress |
| Title | Exploration of microbiota targets for major depressive disorder and mood related traits |
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