Cargando…

Optimization of Antidepressant use with Pharmacogenetic Strategies

BACKGROUND: The response rate in the pharmacological treatment of depression has been estimated to be around 50%, achieving a remission in symptomatology in only one third of the patients. Suboptimal prescription of antidepressants has been proposed as a significant explanatory factor for this thera...

Descripción completa

Detalles Bibliográficos
Autores principales: Torrellas, Clara, Carril, Juan Carlos, Cacabelos, Ramón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635649/
https://www.ncbi.nlm.nih.gov/pubmed/29081699
http://dx.doi.org/10.2174/1389202918666170426164940
_version_ 1783270331772829696
author Torrellas, Clara
Carril, Juan Carlos
Cacabelos, Ramón
author_facet Torrellas, Clara
Carril, Juan Carlos
Cacabelos, Ramón
author_sort Torrellas, Clara
collection PubMed
description BACKGROUND: The response rate in the pharmacological treatment of depression has been estimated to be around 50%, achieving a remission in symptomatology in only one third of the patients. Suboptimal prescription of antidepressants has been proposed as a significant explanatory factor for this therapeutic inefficacy. The use of pharmacogenetic testing might favor the optimization of pharmacotherapy in emotional disorders. However, its implementation in the clinical routine requires studies which prove its efficacy. OBJECTIVE: The aim is to explore the clinical effects obtained by means of the personalization of antidepressant treatment derived from the pharmacogenetic profile of the individual. METHOD: A sample of 291 patients under antidepressant treatment was selected, and these patients were genotyped for the most common polymorphisms of the CYP2D6, CYP2C9, CYP2C19 and CYP3A4/5 genes using RT-PCR and TaqMan® technology. 30 of them were subjected to psycho-affective assessment using the HDRS scale before and after a process of individualization of their psychopharmacological treatment in accordance with the genotype obtained. RESULTS: 70% of the individuals treated using the traditional criterion of trial-and-error were not taking the active ingredient most suited to their pharmacogenetic profile. The inclusion of this genetic information in the choice of drug and its dosage entailed a significant, progressive reduction in depressive symptomatology, with an efficacy ratio of 80% and a remission of the pathology in almost 30% of the cases. CONCLUSION: These results suggest that the prescription of pharmacogenetic profile-based strategies has a positive effect on the therapeutic response to antidepressants.
format Online
Article
Text
id pubmed-5635649
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Bentham Science Publishers
record_format MEDLINE/PubMed
spelling pubmed-56356492018-04-01 Optimization of Antidepressant use with Pharmacogenetic Strategies Torrellas, Clara Carril, Juan Carlos Cacabelos, Ramón Curr Genomics Article BACKGROUND: The response rate in the pharmacological treatment of depression has been estimated to be around 50%, achieving a remission in symptomatology in only one third of the patients. Suboptimal prescription of antidepressants has been proposed as a significant explanatory factor for this therapeutic inefficacy. The use of pharmacogenetic testing might favor the optimization of pharmacotherapy in emotional disorders. However, its implementation in the clinical routine requires studies which prove its efficacy. OBJECTIVE: The aim is to explore the clinical effects obtained by means of the personalization of antidepressant treatment derived from the pharmacogenetic profile of the individual. METHOD: A sample of 291 patients under antidepressant treatment was selected, and these patients were genotyped for the most common polymorphisms of the CYP2D6, CYP2C9, CYP2C19 and CYP3A4/5 genes using RT-PCR and TaqMan® technology. 30 of them were subjected to psycho-affective assessment using the HDRS scale before and after a process of individualization of their psychopharmacological treatment in accordance with the genotype obtained. RESULTS: 70% of the individuals treated using the traditional criterion of trial-and-error were not taking the active ingredient most suited to their pharmacogenetic profile. The inclusion of this genetic information in the choice of drug and its dosage entailed a significant, progressive reduction in depressive symptomatology, with an efficacy ratio of 80% and a remission of the pathology in almost 30% of the cases. CONCLUSION: These results suggest that the prescription of pharmacogenetic profile-based strategies has a positive effect on the therapeutic response to antidepressants. Bentham Science Publishers 2017 -10 2017 -10 /pmc/articles/PMC5635649/ /pubmed/29081699 http://dx.doi.org/10.2174/1389202918666170426164940 Text en © 2017 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Torrellas, Clara
Carril, Juan Carlos
Cacabelos, Ramón
Optimization of Antidepressant use with Pharmacogenetic Strategies
title Optimization of Antidepressant use with Pharmacogenetic Strategies
title_full Optimization of Antidepressant use with Pharmacogenetic Strategies
title_fullStr Optimization of Antidepressant use with Pharmacogenetic Strategies
title_full_unstemmed Optimization of Antidepressant use with Pharmacogenetic Strategies
title_short Optimization of Antidepressant use with Pharmacogenetic Strategies
title_sort optimization of antidepressant use with pharmacogenetic strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635649/
https://www.ncbi.nlm.nih.gov/pubmed/29081699
http://dx.doi.org/10.2174/1389202918666170426164940
work_keys_str_mv AT torrellasclara optimizationofantidepressantusewithpharmacogeneticstrategies
AT carriljuancarlos optimizationofantidepressantusewithpharmacogeneticstrategies
AT cacabelosramon optimizationofantidepressantusewithpharmacogeneticstrategies