2023
DOI: 10.1016/j.neubiorev.2023.105040
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An insight into the sprawling microverse of microRNAs in depression pathophysiology and treatment response

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Cited by 7 publications
(3 citation statements)
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“…To establish conceptual clarity , the definitions of “response” or “predictive” biomarkers were used as per the FDA-NIH criteria [ 48 ]. To establish biological plausibility , only those molecules that had been identified as markers or predictors of treatment response in depression in previous systematic reviews and meta-analyses were included [ 50 , 51 , 52 , 53 , 54 ]. Papers published in English.…”
Section: Review Processmentioning
confidence: 99%
See 1 more Smart Citation
“…To establish conceptual clarity , the definitions of “response” or “predictive” biomarkers were used as per the FDA-NIH criteria [ 48 ]. To establish biological plausibility , only those molecules that had been identified as markers or predictors of treatment response in depression in previous systematic reviews and meta-analyses were included [ 50 , 51 , 52 , 53 , 54 ]. Papers published in English.…”
Section: Review Processmentioning
confidence: 99%
“…Response biomarkers for antidepressant therapies fall broadly into five categories: imaging, electrophysiology, cognition, biochemical, and genetic [ 52 , 53 ]. More recently, novel biomarkers such as levels of specific microRNAs or measures of DNA methylation have also been studied in relation to treatment response in depression [ 54 ]. In terms of the strength of evidence for each of these groups of biomarkers, large effect sizes (combined Hedge’s d > 1) have been noted for imaging, electrophysiology, cognitive and protein/nucleotide markers, and small to moderate effective sizes (combined Hedge’s d = 0.5) for genetic markers.…”
Section: Introductionmentioning
confidence: 99%
“…Specifically, they serve as biomarkers for diagnosing depression and anxiety and tracking therapeutic responses to these conditions [ 10 ]. A lot of recent research has proved the relationship between ncRNAs and depression [ 11 , 12 ]. For instance, siRNA can be an effective experimental tool to study depression [ 13 ].…”
Section: Introductionmentioning
confidence: 99%