| Autor: |
Peijun Xie, Xingyu Zhou, Yifan Li, Jing Wu, Hanping Zhang, Yu Huang, Xunmin Tan, Lu Wen, Oluwatayo Israel Olasunkanmi, Jingjing Zhou, Zuoli Sun, Min Liu, Guofu Zhang, Ying Wang, Peng Xie, Jian Yang, Peng Zheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Translational Psychiatry, Vol 14, Iss 1, Pp 1-7 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2158-3188 |
| DOI: |
10.1038/s41398-024-02850-x |
| Popis: |
Abstract Major depressive disorder (MDD) is a serious mental illness, characterized by disturbances of gut microbiome, it is required to further explore how the carbohydrate-active enzymes (CAZymes) were changed in MDD. Here, using the metagenomic data from patients with MDD (n = 118) and heath controls (HC, n = 118), we found that the whole CAZymes signatures of MDD were significantly discriminated from that in HC. α-diversity indexes of the two groups were also significantly different. The patients with MDD were characterized by enriched Glycoside Hydrolases (GHs) and Polysaccharide Lyases (PLs) relative to HC. A panel of makers composed of 9 CAZymes mainly belonging to GHs enabled to discriminate the patients with MDD and HC with AUC of 0.824. In addition, this marker panel could classify blinded test samples from the two groups with an AUC of 0.736. Moreover, we found that baseline 4 CAZymes levels also could predict the antidepressant efficacy after adjusted confounding factors and times of depressive episode. Our findings showed that MDD was associated with disturbances of gut CAZymes, which may help to develop diagnostic and predictive tools for depression. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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