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Specialty Journal of Pharmacognosy, Phytochemistry, and Biotechnology

2024 Volume 4

Pharmacogenetic Testing to Optimise Antidepressant Treatment in Children and Adolescents: A Narrative Review


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  1. Department of Pharmacognosy, Faculty of Pharmacy, University of Costa Rica, San José, Costa Rica.
Abstract

Pharmacogenetics (PGx) focuses on examining and applying how genetic variability between individuals affects medication outcomes. By analyzing a patient’s variation in genes linked to drug processing, PGx testing offers the potential to customize treatment in primary care and move beyond the traditional generalized prescribing model. In psychiatry, the use of PGx has produced encouraging findings, demonstrating improvements in therapeutic success as well as reductions in drug toxicity and adverse reactions. Although randomized controlled studies support its clinical value, numerous challenges still restrict its adoption. This review explores the use of PGx-informed decision-making for mental health management, with particular emphasis on treatment in children and young adults. In addition, it considers the clinical use of PGx testing, the concerns surrounding its introduction into youth psychiatric settings, and the obstacles that limit its routine integration in healthcare systems. Overall, this paper offers an extensive synthesis of current knowledge and applications of PGx in psychiatric medicine while highlighting the potential of genetic data to enhance individualized treatment for youth experiencing mental health disorders.


How to cite this article
Vancouver
Perez J, Gonzalez M, Ramirez S. Pharmacogenetic Testing to Optimise Antidepressant Treatment in Children and Adolescents: A Narrative Review. Spec J Pharmacogn Phytochem Biotechnol. 2024;4:82-103. https://doi.org/10.51847/rmGSerRAMC
APA
Perez, J., Gonzalez, M., & Ramirez, S. (2024). Pharmacogenetic Testing to Optimise Antidepressant Treatment in Children and Adolescents: A Narrative Review. Specialty Journal of Pharmacognosy, Phytochemistry, and Biotechnology, 4, 82-103. https://doi.org/10.51847/rmGSerRAMC
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