Table_3_Identification of common genetic characteristics of rheumatoid arthritis and major depressive disorder by bioinformatics analysis and machine learning.docx

IntroductionDepression is the most common comorbidity of rheumatoid arthritis (RA). In particular, major depressive disorder (MDD) and rheumatoid arthritis share highly overlapping mental and physical manifestations, such as depressed mood, sleep disturbance, fatigue, pain, and worthlessness. This overlap and indistinguishability often lead to the misattribution of physical and mental symptoms of RA patients to depression, and even, the depressive symptoms of MDD patients are ignored when receiving RA treatment. This has serious consequences, since the development of objective diagnostic tools to distinguish psychiatric symptoms from similar symptoms caused by physical diseases is urgent.
MethodsBioinformatics analysis and machine learning.
ResultsThe common genetic characteristics of rheumatoid arthritis and major depressive disorder are EAF1, SDCBP and RNF19B.
DiscussionWe discovered a connection between RA and MDD through immune infiltration studies: monocyte infiltration. Futhermore, we explored the correlation between the expression of the 3 marker genes and immune cell infiltration using the TIMER 2.0 database. This may help to explain the potential molecular mechanism by which RA and MDD increase the morbidity of each other.

引言：抑郁症是类风湿性关节炎（Rheumatoid Arthritis, RA）最常见的共患病。尤为关键的是，重度抑郁症（Major Depressive Disorder, MDD）与类风湿性关节炎存在高度重合的精神与躯体症状表现，包括情绪低落、睡眠障碍、疲乏、疼痛以及无价值感。这种症状重叠与难以区分的状况，常导致类风湿性关节炎患者的躯体与精神症状被错误归因为抑郁症；甚至在这类患者接受类风湿性关节炎治疗时，其伴随的重度抑郁症症状也会被忽视。这会带来严重后果，因此亟需开发可区分精神疾病症状与躯体疾病引发的相似症状的客观诊断工具。
方法：生物信息学分析与机器学习。
结果：类风湿性关节炎与重度抑郁症共有的遗传特征基因为EAF1、SDCBP及RNF19B。
讨论：本研究通过免疫浸润分析发现了类风湿性关节炎与重度抑郁症之间的关联——单核细胞浸润。此外，本研究借助TIMER 2.0数据库，探究了这3个标记基因的表达与免疫细胞浸润之间的相关性，该结果或有助于阐释类风湿性关节炎与重度抑郁症相互升高对方发病风险的潜在分子机制。