Ontology highlight
ABSTRACT: Background
Major depressive disorder is a debilitating illness, which is most commonly treated with antidepressant drugs. As the majority of patients do not respond on their first trial, there is great interest in identifying biological factors that indicate the most appropriate treatment for each patient. Studies suggest that microRNA represent excellent biomarkers to predict antidepressant response.Methods
We investigated the expression of miR-1202, miR-135a, and miR-16 in peripheral blood from 2 cohorts of depressed patients who received 8 weeks of antidepressant therapy. Expression was quantified at baseline and after treatment, and its relationship to treatment response and depressive symptoms was assessed.Results
In both cohorts, responders displayed lower bas
SUBMITTER: Fiori LM
PROVIDER: S-EPMC5570004 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature