Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China.
Department of Traditional Chinese Medicine, The Seventh People's Hospital of Hangzhou, Hangzhou, Zhejiang 310003, China.
Brain Behav Immun. 2015 Aug;48:186-94. doi: 10.1016/j.bbi.2015.03.016. Epub 2015 Apr 13.
Studies using animal models have shown that depression affects the stability of the microbiota, but the actual structure and composition in patients with major depressive disorder (MDD) are not well understood. Here, we analyzed fecal samples from 46 patients with depression (29 active-MDD and 17 responded-MDD) and 30 healthy controls (HCs). High-throughput pyrosequencing showed that, according to the Shannon index, increased fecal bacterial α-diversity was found in the active-MDD (A-MDD) vs. the HC group but not in the responded-MDD (R-MDD) vs. the HC group. Bacteroidetes, Proteobacteria, and Actinobacteria strongly increased in level, whereas that of Firmicutes was significantly reduced in the A-MDD and R-MDD groups compared with the HC group. Despite profound interindividual variability, levels of several predominant genera were significantly different between the MDD and HC groups. Most notably, the MDD groups had increased levels of Enterobacteriaceae and Alistipes but reduced levels of Faecalibacterium. A negative correlation was observed between Faecalibacterium and the severity of depressive symptoms. These findings enable a better understanding of changes in the fecal microbiota composition in such patients, showing either a predominance of some potentially harmful bacterial groups or a reduction in beneficial bacterial genera. Further studies are warranted to elucidate the temporal and causal relationships between gut microbiota and depression and to evaluate the suitability of the microbiome as a biomarker.
研究使用动物模型表明,抑郁症会影响微生物群落的稳定性,但对于重度抑郁症(MDD)患者的实际结构和组成还了解甚少。在这里,我们分析了 46 名抑郁症患者(29 名活跃性 MDD 和 17 名缓解性 MDD)和 30 名健康对照(HC)的粪便样本。高通量焦磷酸测序显示,根据 Shannon 指数,活跃性 MDD(A-MDD)组的粪便细菌α多样性增加,但缓解性 MDD(R-MDD)组与 HC 组相比没有增加。厚壁菌门、变形菌门和放线菌门的水平明显升高,而 A-MDD 和 R-MDD 组的Firmicutes 水平与 HC 组相比显著降低。尽管个体间存在明显的变异性,但 MDD 组和 HC 组之间几个主要属的水平存在显著差异。值得注意的是,MDD 组的肠杆菌科和 Alistipes 水平升高,而 Faecalibacterium 水平降低。Faecalibacterium 与抑郁症状严重程度呈负相关。这些发现使我们能够更好地理解此类患者粪便微生物群落组成的变化,显示出某些潜在有害细菌群体的优势或有益细菌属的减少。需要进一步研究来阐明肠道微生物群与抑郁症之间的时间和因果关系,并评估微生物组作为生物标志物的适用性。