Rhee Sang Jin, Kim Hyeyoung, Lee Yunna, Lee Hyun Jeong, Park C Hyung Keun, Yang Jinho, Kim Yoon-Keun, Kym Sungmin, Ahn Yong Min
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea.
Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
J Psychiatr Res. 2020 Apr;123:31-38. doi: 10.1016/j.jpsychires.2020.01.004. Epub 2020 Jan 21.
Bipolar disorder and major depressive disorder are debilitating psychiatric conditions which can be difficult to differentiate; however, recent studies have suggested that microbiome composition may be a potential tool in distinguishing between these two disorders. This study aimed to compare the serum microbiome composition of patients with bipolar disorder, major depressive disorder, and healthy controls. Serum samples were collected from 42 subjects with bipolar disorder, 30 with major depressive disorder, and 36 healthy controls. Bacterial DNA was isolated from bacteria-derived extracellular vesicles in the serum and then amplified and quantified with primers specific to the V3-V4 hypervariable region of the 16S rDNA gene. Sequence reads were clustered into operational taxonomic units and classified using the SILVA database. Alpha and beta diversity, individual taxa analysis based on phylum and genus, and functional pathways were compared. There was no statistical difference between alpha or beta diversity in patients with bipolar disorder and major depressive disorder; however, the Prevotella 2 and Ruminococcaceae UCG-002 genera were significantly more prevalent in patients with major depressive disorder than in either those with bipolar disorder or in healthy controls. Functional analysis of pathways revealed that the apoptosis function differed between all three groups. In conclusion, the Prevotella 2 and Ruminococcaceae UCG-002 genera were identified as potential candidates for distinguishing bipolar disorder and major depressive disorder. Further studies with larger sample sizes, longitudinal designs, and control for other various confounders are warranted.
双相情感障碍和重度抑郁症是使人衰弱的精神疾病，可能难以区分；然而，最近的研究表明，微生物组组成可能是区分这两种疾病的一种潜在工具。本研究旨在比较双相情感障碍患者、重度抑郁症患者和健康对照者的血清微生物组组成。从42名双相情感障碍患者、30名重度抑郁症患者和36名健康对照者中采集血清样本。从血清中细菌衍生的细胞外囊泡中分离细菌DNA，然后用针对16S rDNA基因V3-V4高变区的引物进行扩增和定量。序列读数被聚类为操作分类单元，并使用SILVA数据库进行分类。比较了α和β多样性、基于门和属的个体分类群分析以及功能途径。双相情感障碍患者和重度抑郁症患者的α或β多样性之间没有统计学差异；然而，普雷沃氏菌属2和瘤胃球菌科UCG-002属在重度抑郁症患者中比在双相情感障碍患者或健康对照者中显著更普遍。途径的功能分析表明，所有三组之间的细胞凋亡功能存在差异。总之，普雷沃氏菌属2和瘤胃球菌科UCG-002属被确定为区分双相情感障碍和重度抑郁症的潜在候选者。有必要进行更大样本量、纵向设计并控制其他各种混杂因素的进一步研究。
