Subsyndromal symptomatic depression (SSD) is a subtype of subthreshold depressive and also lead to significant\r\npsychosocial functional impairment as same as major depressive disorder (MDD). Several studies have suggested that SSD is\r\na transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the\r\npathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the\r\nexpression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drugfree\r\nfirst-episode subjects with SSD, MDD, and matched controls (8 subjects in each group). Support vector machines (SVMs)\r\nwere utilized for training and testing on candidate signature expression profiles from signature selection step. Firstly, we\r\nidentified 63 differentially expressed SSD signatures in contrast to control (P,= 5.0E-4) and 30 differentially expressed MDD\r\nsignatures in contrast to control, respectively. Then, 123 gene signatures were identified with significantly differential\r\nexpression level between SSD and MDD. Secondly, in order to conduct priority selection for biomarkers for SSD and MDD\r\ntogether, we selected top gene signatures from each group of pair-wise comparison results, and merged the signatures\r\ntogether to generate better profiles used for clearly classify SSD and MDD sets in the same time. In details, we tried different\r\ncombination of signatures from the three pair-wise compartmental results and finally determined 48 gene expression\r\nsignatures with 100% accuracy. Our finding suggested that SSD and MDD did not exhibit the same expressed genome\r\nsignature with peripheral blood leukocyte, and blood cellââ?¬â??derived RNA of these 48 gene models may have significant value\r\nfor performing diagnostic functions and classifying SSD, MDD, and healthy controls.
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