作者: Raoul Belzeaux , Chien-Wei Lin , Ying Ding , Aurélie Bergon , Gustavo Turecki
DOI: 10.1016/J.JPSYCHIRES.2016.07.009
关键词:
摘要: Antidepressant efficacy is insufficient, unpredictable and poorly understood in major depressive episode (MDE). Gene expression studies allow for the identification of significantly dysregulated genes but can limit exploration biological pathways. In present study, we proposed a gene coexpression analysis to investigate pathways associated with treatment response predisposition their regulation by microRNAs (miRNAs) peripheral blood samples MDE healthy control subjects. We used discovery cohort that included 34 patients were given 12-week citalopram 33 controls. Two replication cohorts similar design also analyzed. Expression-based network was built define clusters highly correlated sets genes, called modules. Association between each module's first principal component data clinical improvement tested three cohorts. conducted ontology miRNA prediction based on module list. Nine 59 modules from improvement. The association partially replicated other demonstrated 4 cytokine production, acute inflammatory or IL-8 functions. Finally, found 414 miRNAs may regulate one several By contrast, only 12 predicted specifically unrelated Our underlines importance inflammation-related involvement large program as processes predisposing antidepressant response.