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December 4, 2025Genes2 citationsOpen Access

Role of Genetic and Epigenetic Biomarkers in Treatment-Resistant Depression: A Literature Review

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PSPetra SulićAPAndrea Ražić PavičićBIBiljana Đapić Ivančić

Key Points

  • Treatment-resistant depression significantly impacts up to 40% of major depressive disorder patients, highlighting the need for effective interventions.
  • Genomic studies identify glutamatergic receptor genes as key factors influencing rapid treatment response to therapies like ketamine.
  • Narrative review examines the role of DNA- and RNA-based biomarkers, with a focus on genome-wide association studies and microRNA profiling.
  • Integration of genetic and epigenetic markers into clinical practice may enhance patient stratification and therapeutic efficacy monitoring.

Abstract

Background: Treatment-resistant depression (TRD) affects up to 30–40% of patients with major depressive disorder and remains a major therapeutic challenge. Genetic and epigenetic factors are increasingly recognized as key contributors to both vulnerability and treatment response. Methods: We conducted a narrative review of studies published between 2021 and 2025, focusing exclusively on DNA- and RNA-based biomarkers of TRD. Twelve studies met the inclusion criteria, covering candidate gene analyses, genome-wide association studies (GWAS), neuroimaging–genetic approaches, and microRNA profiling. Results: Genetic investigations consistently implicate neuroplasticity-related genes (BDNF, NTRK2, PTEN, SYN1, MAPK1, and GSK3B) in the risk of TRD and its relapse. Variants in glutamatergic receptor genes (GRIN2A, GRIN2B, GRIA2, GRIA3) were predicted to result in a rapid and sustained response to ketamine. Genomic approaches further demonstrated that composite genetic panels outperform single-variant predictors. In parallel, microRNAs such as miR-1202, miR-16, miR-135, miR-124, miR-223, and miR-146a emerged as dynamic biomarkers of treatment response, particularly in cohorts treated with ketamine or electroconvulsive therapy. Conclusions: DNA- and RNA-based biomarkers provide promising avenues for improving the understanding and management of TRD. Their integration into clinical frameworks could support patient stratification, individualized treatment selection, and real-time monitoring of therapeutic efficacy. Future research should prioritize replication, methodological harmonization, and longitudinal validation to facilitate the translation of findings into precision psychiatry.

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Cite This Study

Sulić et al. (2025) studied this question.

synapsesocial.com/papers/6930e8cdea1aef094cca3925https://doi.org/10.3390/genes16121443
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