Department of Psychiatry, University of California, San Diego, CA, United States; Sam and Rose Stein Institute for Research on Aging, University of California, San Diego, CA, United States.
Department of Pediatrics, University of California, San Diego, CA, United States; Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Brain Behav Immun. 2021 Jan;91:245-256. doi: 10.1016/j.bbi.2020.10.003. Epub 2020 Oct 22.
Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo-lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies.
越来越多的证据表明肠道微生物群的变化与精神分裂症有关。然而,对于肠道微生物群通过何种功能途径影响慢性精神分裂症患者的表型,研究还很有限。我们使用 16S rRNA 测序技术,对 48 名慢性精神分裂症患者和 48 名匹配的非精神病对照受试者(NCs)(测序板、年龄、性别、BMI 和抗生素使用情况)的肠道微生物群落组成和功能潜力进行了研究。与 NCs 相比,精神分裂症患者的肠道微生物组成和预测遗传功能潜力存在显著的β多样性差异。分类群和功能途径的α多样性在两组之间没有差异。随机森林分析显示,微生物组可以使用分类群(75%的准确率)和功能谱(KEGG 直系同源物的 67%准确率,MetaCyc 途径的 70%准确率)预测精神分裂症患者与 NCs 的分化。我们利用一种新的基于组成的方法,结合参考框架来识别差异丰度的微生物和途径,结果表明lachnospiraceae 与精神分裂症有关。精神分裂症中与三甲胺-N-氧化物还原酶和 Kdo-脂 A 生物合成相关的功能途径发生改变。这些代谢途径与精神分裂症中的炎症细胞因子和冠心病风险有关。研究结果表明,微生物群可能通过调节与免疫信号/反应、脂质和葡萄糖调节相关的功能途径,从而影响疾病的病理生理学,这是未来研究中需要进一步研究的潜在机制。