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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2017
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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 |
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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 |
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