blood-based gene expression profiles models for classification of subsyndromal symptomatic depression and major depressive disorderblood-based基因表达谱模型的分类亚综合征症状抑郁症和重度抑郁症.pdfVIP

Blood-Based Gene Expression Profiles Models for Classification of Subsyndromal Symptomatic Depression and Major Depressive Disorder 1. 1. 2 1 1 1 3 Zhenghui Yi , Zezhi Li , Shunying Yu , Chengmei Yuan , Wu Hong , Zuowei Wang , Jian Cui , Tieliu 3,4 1 Shi , Yiru Fang * 1 Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2 Department of Genetics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3 The Center for Bioinformatics and Institute of Biomedical Sciences, The College of Life Sciences, East China Normal University, Shanghai, China, 4 Shanghai Information Center for Life Sciences, Chinese Academy of Sciences, Shanghai, China Abstract Subsyndromal symptomatic depression (SSD) is a subtype of subthreshold depressive and also lead to significant psychosocial functional impairment as same as major depressive disorder (MDD). Several studies have suggested that SSD is a transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the pathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug- free first-episode subjects with SSD, MDD, and matched controls (8 subjects in each group). Support vector machines (SVMs) were utilized for training and testing on candidate signature expression profiles from signature selection step. Firstly, we identified 63 differentially express