AI Article Synopsis

  • Major depressive disorder (MDD) is a serious condition where early treatment is crucial, but predicting individual responses to antidepressants is challenging.
  • This study investigated the relationship between specific microRNAs (miRNAs) and the effectiveness of selective serotonin reuptake inhibitors (SSRIs) and mirtazapine in treating depression.
  • Researchers found that levels of certain miRNAs could predict the success of treatment within two weeks, with one identified microRNA (miR-483.5p) showing a particularly strong correlation with symptom improvement.

Article Abstract

Major depressive disorder (MDD) is a life-impairing disorder, and early successful treatment is important for a favorable prognosis. However, early response to antidepressants differs widely among individuals, and is difficult to predict pre-treatment. As miRNAs have been reported to play important roles in depression, identification of miRNAs associated with antidepressant treatment responses and their interacting genes and pathways will be beneficial in understanding the predictors and molecular mechanisms of depression treatment. This randomized control trial examined miRNAs correlated with the early therapeutic effect of selective serotonin reuptake inhibitors (SSRIs; paroxetine or sertraline) and mirtazapine monotherapy. Before medication, we comprehensively analyzed the miRNA expression of 92 depressed participants and identified genes and pathways interacting with miRNAs. A total of 228 miRNAs were significantly correlated with depressive symptoms improvements after 2 weeks of SSRIs treatment, with miR-483.5p showing the most robust correlation. These miRNAs are involved in 21 pathways, including TGF-β, glutamatergic synapse, long-term depression, and the mitogen-activated protein kinase (MAPK) signaling pathways. Using these miRNAs enabled us to predict SSRI response at week 2 with a 57% difference. This study shows that pre-treatment levels of miRNAs could be used to predict early responses to antidepressant administration, a knowledge of genes, and an identification of genes and pathways associated with the antidepressant response.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999364PMC
http://dx.doi.org/10.3390/ijms23073873DOI Listing

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