Liu Bingdong, Lin Weifeng, Chen Shujie, Xiang Ting, Yang Yifan, Yin Yulong, Xu Guohuan, Liu Zhihong, Liu Li, Pan Jiyang, Xie Liwei
Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China.
State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Front Microbiol. 2019 Aug 13;10:1770. doi: 10.3389/fmicb.2019.01770. eCollection 2019.
Insomnia is a type of sleep disorder which is associated with various diseases' development and progression, such as obesity, type II diabetes and cardiovascular diseases. Recent investigation of the gut-brain axis enhances our understanding of the role of the gut microbiota in brain-related diseases. However, whether the gut microbiota is associated with insomnia remains unknown. In the present investigation, leveraging the 16S rDNA amplicon sequencing of V3-V4 region and the novel bioinformatic analysis, it was demonstrated that between insomnia and healthy populations, the composition, diversity and metabolic function of the gut microbiota are significantly changed. Other than these, redundancy analysis, co-occurrence analysis and PICRUSt underpin the gut taxa composition, signaling pathways, and metabolic functions perturbed by insomnia disorder. Moreover, random forest together with cross-validation identified two signature bacteria, which could be used to distinguish the insomnia patients from the healthy population. Furthermore, based on the relative abundance and clinical sleep parameter, we constructed a prediction model utilizing artificial neural network (ANN) for auxiliary diagnosis of insomnia disorder. Overall, the aforementioned study provides a comprehensive understanding of the link between the gut microbiota and insomnia disorder.
失眠是一种睡眠障碍,与多种疾病的发生和发展相关,如肥胖症、II型糖尿病和心血管疾病。最近对肠-脑轴的研究加深了我们对肠道微生物群在脑部相关疾病中作用的理解。然而,肠道微生物群是否与失眠相关仍不清楚。在本研究中,利用V3-V4区域的16S rDNA扩增子测序和新颖的生物信息学分析,结果表明,失眠人群与健康人群相比,肠道微生物群的组成、多样性和代谢功能发生了显著变化。除此之外,冗余分析、共现分析和PICRUSt揭示了失眠症扰乱的肠道分类群组成、信号通路和代谢功能。此外,随机森林结合交叉验证识别出两种标志性细菌,可用于区分失眠患者和健康人群。此外,基于相对丰度和临床睡眠参数,我们利用人工神经网络(ANN)构建了一个预测模型,用于辅助诊断失眠症。总体而言,上述研究全面揭示了肠道微生物群与失眠症之间的联系。