Shotgun metagenomics reveals both taxonomic and tryptophan pathway differences of gut microbiota in bipolar disorder with current major depressive episode patients

基因组 小桶 拟杆菌 微生物群 厚壁菌 双相情感障碍 生物 肠道菌群 霰弹枪测序 遗传学 基因组 基因 16S核糖体RNA 基因本体论 生物化学 内分泌学 基因表达 锂(药物)
作者
Wentao Lai,Jie Zhao,Shu-xian Xu,Wenfeng Deng,Dan Xu,Ming-bang Wang,Fu‐Sheng He,Yang-Hui Liu,Yuanyuan Guo,Shuwei ye,Qi-Fan Yang,Yingli Zhang,Sheng Wang,Minzhi Li,Yingjia Yang,Tiebang Liu,Zhiming Tang,Xin Xie,Rong Han
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:278: 311-319 被引量:30
标识
DOI:10.1016/j.jad.2020.09.010
摘要

The microbiome-gut-brain axis, especially the microbial tryptophan biosynthesis and metabolism pathway (MiTBamp), is closely connected to bipolar disorder with current major depressive episode (BPD). We performed shotgun metagenomics sequencing (SMS) of faecal samples from 25 BPD patients and 28 healthy controls (HCs). Except for the microbiota taxa and MiTBamp analyses, we also built a classification model using the Random Forests (RF) and Boruta algorithm to find the microbial biomarkers for BPD. Compared to HCs, the phylum Bacteroidetes abundance was significantly reduced, whereas that of the Actinobacteria and Firmicutes were significantly increased in BPD patients. We also identified 38 species increased and 6 species decreased significantly in the BPD group. In the MiTBamp, we identified that two Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologies (KOs) (K00658 and K00837) were significantly lower in the BPD, and five KOs (K01696, K00382, K00626, K01667, and K03781) were significantly higher in the BPD group. We also identified significant genera and species which were closely related to these KOs. Finally, RF classification based on gut microbiota at the genus level can achieve an area under the receiver operating characteristic curve of 0.997. The features of cross-sectional design, limited sample size, the heterogeneity of bipolar disorders, and a lack of serum/plasma tryptophan concentration measurements. The present findings enable a better understanding of changes in gastrointestinal microbiome and MiTBamp in BPD. Alterations of microbes may have potential as biomarkers for distinguishing the BPD patients form HCs.
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