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
Department of Psychiatry First Affiliated Hospital Zhejiang University School of Medicine Hangzhou 310003 China.
The Key Laboratory of Mental Disorder's Management of Zhejiang Province No. 79, Qingchun Road Hangzhou 310003 China.
Adv Sci (Weinh). 2019 May 15;6(14):1900752. doi: 10.1002/advs.201900752. eCollection 2019 Jul 17.
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 and 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.
本研究旨在对比双相情感障碍(BD)抑郁患者与健康对照(HCs)的肠道微生物群特征,研究喹硫平治疗对微生物群的影响,并探索微生物群作为BD诊断和治疗结果生物标志物的潜力。对16S核糖体RNA基因序列的分析表明,BD患者与HCs之间的肠道微生物组成和多样性存在显著差异。在BD患者和HCs中,厚壁菌门和拟杆菌门分别是主要的细菌群落。在未治疗的患者中观察到产丁酸细菌水平较低。BD患者接受喹硫平治疗后微生物组成发生变化。值得注意的是,在随机森林模型上鉴定出30个微生物标志物,未治疗患者与HCs之间的曲线下面积(AUC)达到0.81。在反应者和无反应者患者之间鉴定出10个微生物标志物,AUC为0.93。本研究描述了BD患者的肠道微生物群特征,并且是首个评估喹硫平单药治疗后微生物变化的研究。基于肠道微生物群的生物标志物可能有助于BD诊断和预测治疗结果,这需要进一步验证。