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Gut Microbiota Changes in Patients with Bipolar Depression
This study aims to characterize the gut microbiota in depressed patients with bipolar disorder (BD) compared with healthy controls (HCs), to examine the effects of quetiapine treatment on the microbiota, and to explore the potential of microbiota as a biomarker for BD diagnosis and treatment outcome...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662053/ https://www.ncbi.nlm.nih.gov/pubmed/31380217 http://dx.doi.org/10.1002/advs.201900752 |
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author | Hu, Shaohua Li, Ang Huang, Tingting Lai, Jianbo Li, Jingjing Sublette, M. Elizabeth Lu, Haifeng Lu, Qiaoqiao Du, Yanli Hu, Zhiying Ng, Chee H. Zhang, Hua Lu, Jing Mou, Tingting Lu, Shaojia Wang, Dandan Duan, Jinfeng Hu, Jianbo Huang, Manli Wei, Ning Zhou, Weihua Ruan, Liemin Li, Ming D. Xu, Yi |
author_facet | Hu, Shaohua Li, Ang Huang, Tingting Lai, Jianbo Li, Jingjing Sublette, M. Elizabeth Lu, Haifeng Lu, Qiaoqiao Du, Yanli Hu, Zhiying Ng, Chee H. Zhang, Hua Lu, Jing Mou, Tingting Lu, Shaojia Wang, Dandan Duan, Jinfeng Hu, Jianbo Huang, Manli Wei, Ning Zhou, Weihua Ruan, Liemin Li, Ming D. Xu, Yi |
author_sort | Hu, Shaohua |
collection | PubMed |
description | This study aims to characterize the gut microbiota in depressed patients with bipolar disorder (BD) compared with healthy controls (HCs), to examine the effects of quetiapine treatment on the microbiota, and to explore the potential of microbiota as a biomarker for BD diagnosis and treatment outcome. Analysis of 16S‐ribosomal RNA gene sequences reveals that gut microbial composition and diversity are significantly different between BD patients and HCs. Phylum Bacteroidetes and Firmicutes are the predominant bacterial communities in BD patients and HCs, respectively. Lower levels of butyrate‐producing bacteria are observed in untreated patients. Microbial composition changes following quetiapine treatment in BD patients. Notably, 30 microbial markers are identified on a random forest model and achieve an area under the curve (AUC) of 0.81 between untreated patients and HCs. Ten microbial markers are identified with the AUC of 0.93 between responder and nonresponder patients. This study characterizes the gut microbiota in BD and is the first to evaluate microbial changes following quetiapine monotherapy. Gut microbiota‐based biomarkers may be helpful in BD diagnosis and predicting treatment outcome, which need further validations. |
format | Online Article Text |
id | pubmed-6662053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66620532019-08-02 Gut Microbiota Changes in Patients with Bipolar Depression Hu, Shaohua Li, Ang Huang, Tingting Lai, Jianbo Li, Jingjing Sublette, M. Elizabeth Lu, Haifeng Lu, Qiaoqiao Du, Yanli Hu, Zhiying Ng, Chee H. Zhang, Hua Lu, Jing Mou, Tingting Lu, Shaojia Wang, Dandan Duan, Jinfeng Hu, Jianbo Huang, Manli Wei, Ning Zhou, Weihua Ruan, Liemin Li, Ming D. Xu, Yi Adv Sci (Weinh) Full Papers This study aims to characterize the gut microbiota in depressed patients with bipolar disorder (BD) compared with healthy controls (HCs), to examine the effects of quetiapine treatment on the microbiota, and to explore the potential of microbiota as a biomarker for BD diagnosis and treatment outcome. Analysis of 16S‐ribosomal RNA gene sequences reveals that gut microbial composition and diversity are significantly different between BD patients and HCs. Phylum Bacteroidetes and Firmicutes are the predominant bacterial communities in BD patients and HCs, respectively. Lower levels of butyrate‐producing bacteria are observed in untreated patients. Microbial composition changes following quetiapine treatment in BD patients. Notably, 30 microbial markers are identified on a random forest model and achieve an area under the curve (AUC) of 0.81 between untreated patients and HCs. Ten microbial markers are identified with the AUC of 0.93 between responder and nonresponder patients. This study characterizes the gut microbiota in BD and is the first to evaluate microbial changes following quetiapine monotherapy. Gut microbiota‐based biomarkers may be helpful in BD diagnosis and predicting treatment outcome, which need further validations. John Wiley and Sons Inc. 2019-05-15 /pmc/articles/PMC6662053/ /pubmed/31380217 http://dx.doi.org/10.1002/advs.201900752 Text en © 2019 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers Hu, Shaohua Li, Ang Huang, Tingting Lai, Jianbo Li, Jingjing Sublette, M. Elizabeth Lu, Haifeng Lu, Qiaoqiao Du, Yanli Hu, Zhiying Ng, Chee H. Zhang, Hua Lu, Jing Mou, Tingting Lu, Shaojia Wang, Dandan Duan, Jinfeng Hu, Jianbo Huang, Manli Wei, Ning Zhou, Weihua Ruan, Liemin Li, Ming D. Xu, Yi Gut Microbiota Changes in Patients with Bipolar Depression |
title | Gut Microbiota Changes in Patients with Bipolar Depression |
title_full | Gut Microbiota Changes in Patients with Bipolar Depression |
title_fullStr | Gut Microbiota Changes in Patients with Bipolar Depression |
title_full_unstemmed | Gut Microbiota Changes in Patients with Bipolar Depression |
title_short | Gut Microbiota Changes in Patients with Bipolar Depression |
title_sort | gut microbiota changes in patients with bipolar depression |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662053/ https://www.ncbi.nlm.nih.gov/pubmed/31380217 http://dx.doi.org/10.1002/advs.201900752 |
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