Metagenomic analysis reveals gut bacterial signatures for diagnosis and treatment outcome prediction in bipolar depression

奎硫平 双相情感障碍 肠道菌群 基因组 失调 内科学 萧条(经济学) 粪便 疾病 医学 生物 胃肠病学 精神分裂症(面向对象编程) 精神科 生态学 免疫学 经济 宏观经济学 锂(药物) 基因 生物化学
作者
Jianbo Lai,Ang Li,Jiajun Jiang,Xiuxia Yuan,Peifen Zhang,Caixi Xi,Lingling Wu,Zheng Wang,Jingkai Chen,Jing Lü,Shaojia Lu,Tingting Mou,Hetong Zhou,Dandan Wang,Manli Huang,Fengqin Dong,Ming D. Li,Yi Xu,Xueqin Song,Shaohua Hu
出处
期刊:Psychiatry Research-neuroimaging [Elsevier BV]
卷期号:307: 114326-114326 被引量:12
标识
DOI:10.1016/j.psychres.2021.114326
摘要

We aimed to characterize gut microbial alterations in depressed patients with bipolar disorder (BD) following quetiapine monotherapy and explored its potential for disease diagnosis and outcome prediction.Fecal samples were obtained from 60 healthy individuals and 62 patients in acute depressive episodes. All patients received one-month quetiapine treatment after enrollment. The structure of gut microbiota was measured with metagenomic sequencing, and its correlation with clinical profiles and brain function as indicated by resting-state functional magnetic resonance imaging was analyzed. Random forest models based on bacterial species were constructed to distinguish patients from controls, and responders from non-responders, respectively.BD patients displayed specific alterations in gut microbial diversity and composition. Quetiapine treatment increased the diversity of microbial communities and changed the composition. The abundance of Clostridium bartlettii was negatively associated with age, baseline depression severity, while positively associated with spontaneous neural oscillation in the hippocampus. Tree-based classification models for (1) patients and controls and (2) responders and non-responders showed an area under the curve of 0.733 and 0.800, respectively.Our findings add new evidence to the existing literature regarding gut dysbiosis in BD and reveal the potential of microbe-based biomarkers for disease diagnosis and treatment outcome prediction.
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