Chen Zhi, Li Jie, Gui Siwen, Zhou Chanjuan, Chen Jianjun, Yang Chuangchuang, Hu Zicheng, Wang Haiyang, Zhong Xiaogang, Zeng Li, Chen Ke, Li Pengfei, Xie Peng
Department of Neurology, The First Affiliated Hospital of Chongqing Medical University.
Chongqing Key Laboratory of Neurobiology.
Neuroreport. 2018 Mar 21;29(5):417-425. doi: 10.1097/WNR.0000000000000985.
Major depressive disorder (MDD) is a highly prevalent and debilitating mental illness, which is associated with disorder of gut microbiota. However, few studies focusing on detection of the signatures of bacteria in feces of MDD patients using proteomics approach have been carried out. Here, a comparative metaproteomics analysis on the basis of an isobaric tag for relative and absolute quantification coupled with tandem mass spectrometry was carried out to explore the signature of gut microbiota in patients with MDD. Ten patients (age: 18-56 years, five women) who had MDD and a score over 20 on the Hamilton's Depression Scale and 10 healthy controls (age: 24-65 years, five women) group matched for sex, age, and BMI were enrolled. As a result, 279 significantly differentiated bacterial proteins (P<0.05) were detected and used for further bioinformatic analysis. According to phylogenetic analysis, statistically significant differences were observed for four phyla: Bacteroidetes, Proteobacteria, Firmicutes, Actinobacteria (P<0.05, for each). Abundances of 16 bacterial families were significantly different between the MDD and healthy controls (P<0.05). Furthermore, Cluster of Orthologous Groups analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that disordered metabolic pathways of bacterial proteins were mainly involved in glucose metabolism and amino acid metabolism. In conclusion, fecal microbiota signatures were altered significantly in MDD patients. Our findings provide a novel insight into the potential connection between gut microbiota and depression.
重度抑郁症（MDD）是一种高度流行且使人衰弱的精神疾病，与肠道微生物群紊乱有关。然而，很少有研究使用蛋白质组学方法来检测MDD患者粪便中的细菌特征。在此，我们基于相对和绝对定量的等压标签结合串联质谱进行了一项比较性宏蛋白质组学分析，以探索MDD患者肠道微生物群的特征。招募了10名患有MDD且汉密尔顿抑郁量表得分超过20分的患者（年龄：18 - 56岁，5名女性）以及10名在性别、年龄和BMI方面匹配的健康对照者（年龄：24 - 65岁，5名女性）。结果，检测到279种显著差异的细菌蛋白（P<0.05），并用于进一步的生物信息学分析。根据系统发育分析，观察到四个门存在统计学显著差异：拟杆菌门、变形菌门、厚壁菌门、放线菌门（每个门P<0.05）。MDD患者与健康对照者之间16个细菌家族的丰度存在显著差异（P<0.05）。此外，直系同源簇分析和京都基因与基因组百科全书通路分析表明，细菌蛋白的代谢途径紊乱主要涉及葡萄糖代谢和氨基酸代谢。总之，MDD患者的粪便微生物群特征发生了显著改变。我们的研究结果为肠道微生物群与抑郁症之间的潜在联系提供了新见解。
