https://scholars.lib.ntu.edu.tw/handle/123456789/561226
Title: | Exploration of microbiota targets for major depressive disorder and mood related traits | Authors: | Chung Y.-C.E. HSI-CHUNG CHEN Chou H.-C.L. I-MING CHEN Lee M.-S. Chuang L.-C. Liu Y.-W. Lu M.-L. Chen C.-H. Wu C.-H. Huang M.-C. Shih-Cheng Liao YEN-HSUAN NI Lai M.-S. WEI-LIANG SHIH HSIU-PO KUO |
Issue Date: | 2019 | Publisher: | Elsevier Ltd | Journal Volume: | 111 | Start page/Pages: | 74-82 | Source: | Journal of Psychiatric Research | 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. ? 2019 Elsevier Ltd |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/561226 | ISSN: | 0022-3956 | DOI: | 10.1016/j.jpsychires.2019.01.016 | SDG/Keyword: | antidepressant agent; pentose phosphate; RNA 16S; starch; RNA 16S; Actinobacteria; adult; aged; anxiety disorder; Article; Beck Anxiety Inventory; Beck Depression Inventory; Bifidobacterium; Blautia; case control study; clinical article; controlled study; dietary pattern; disease severity; DSM-5; fat intake; female; Firmicutes; food frequency questionnaire; gene sequence; human; intestine flora; major depression; male; metabolomics; microbiome; mood disorder; mood disorder assessment; nutrient content; nutritional assessment; pentose phosphate cycle; phenotype; Prevotella; priority journal; schedule for ff disorders and schizophrenia lifetime; stress; sucrose metabolism; Taiwan; anxiety; feces; isolation and purification; major depression; mental stress; microbiology; middle aged; Adult; Anxiety; Depressive Disorder, Major; Dietary Fats; Feces; Female; Gastrointestinal Microbiome; Humans; Male; Middle Aged; RNA, Ribosomal, 16S; Stress, Psychological; Taiwan |
Appears in Collections: | 流行病學與預防醫學研究所 |
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