National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China.
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
Schizophr Res. 2018 Jul;197:470-477. doi: 10.1016/j.schres.2018.01.002. Epub 2018 Jan 17.
With the advent of sequencing technology, characterization of schizophrenia with underlying probing of gut microbiome can provide abundant clues for diagnosis and prognosis of schizophrenia. In this study, we first compared the difference of gut microbiota between schizophrenia patients and healthy controls by 16S rRNA sequencing. We further explored whether gut microbiota can be used as a biomarker to assist in the diagnosis of schizophrenia. We restricted inclusion criteria strictly to control confounding bias. Finally, we investigated differences in fecal microbiota between 64 schizophrenia patients and 53 healthy controls. At the phylum level, we found that the abundance of Proteobacteria in the schizophrenia patients was significantly increased. At the genus level, the relative abundance of Succinivibrio, Megasphaera, Collinsella, Clostridium, Klebsiella and Methanobrevibacter was significantly higher whereas the abundance of Blautia, Coprococcus, Roseburia was decreased compared to health controls. The receiver operating characteristic curve analysis demonstrated that 12 significant microbiota biomarkers were capable of being used as diagnostic factors for distinguishing the schizophrenia cohort from those in the control cohort (AUC = 0.837). We performed PICRUSt analysis and found that several metabolic pathways differed significantly between healthy controls and schizophrenia patients, including vitamin B6 and fatty acid. In conclusion, there are some difference of gut microbiota between schizophrenia patients and healthy controls and the insights from this study could be used to develop microbiota-based diagnosis for schizophrenia.
随着测序技术的出现,对精神分裂症进行潜在的肠道微生物组探测,可以为精神分裂症的诊断和预后提供丰富的线索。在这项研究中,我们首先通过 16S rRNA 测序比较了精神分裂症患者和健康对照之间肠道微生物组的差异。我们进一步探讨了肠道微生物组是否可以作为一种生物标志物来辅助精神分裂症的诊断。我们严格限制纳入标准以控制混杂偏倚。最后,我们研究了 64 名精神分裂症患者和 53 名健康对照之间粪便微生物组的差异。在门水平上,我们发现精神分裂症患者中变形菌门的丰度显著增加。在属水平上,与健康对照组相比,琥珀酸弧菌、巨球形菌、柯林斯菌、梭菌、克雷伯菌和产甲烷杆菌的相对丰度显著升高,而布劳特氏菌、粪球菌、罗氏菌的丰度降低。受试者工作特征曲线分析表明,12 种显著的微生物群生物标志物可作为区分精神分裂症队列和对照组的诊断因素(AUC=0.837)。我们进行了 PICRUSt 分析,发现健康对照组和精神分裂症患者之间存在一些差异显著的代谢途径,包括维生素 B6 和脂肪酸。总之,精神分裂症患者和健康对照之间存在一些肠道微生物组的差异,本研究的结果可用于开发基于微生物组的精神分裂症诊断方法。