Your browser doesn't support javascript.
loading
Pharmacogenetics of antipsychotics: Clinical utility and implementation.
Arranz, Maria J; Salazar, Juliana; Hernández, Marta H.
Afiliación
  • Arranz MJ; Fundació Docència i Recerca Mútua Terrassa, Spain; Centro de investigación en Red de Salud Mental, CIBERSAM, Madrid, Spain; PHAGEX Research Group, Universitat Ramon LLull, Spain. Electronic address: mjarranz@mutuaterrassa.es.
  • Salazar J; Translational Medical Oncology Laboratory, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain; U705, ISCIII Center for Biomedical Research on Rare Diseases (CIBERER), Barcelona, Spain; PHAGEX Research Group, Universitat Ramon LLull, Spain.
  • Hernández MH; PHAGEX Research Group, Universitat Ramon LLull, Spain; School of Health Sciences Blanquerna. University Ramon Llull, Barcelona, Spain.
Behav Brain Res ; 401: 113058, 2021 03 05.
Article en En | MEDLINE | ID: mdl-33316324
ABSTRACT
Decades of research have produced extensive evidence of the contribution of genetic factors to the efficacy and toxicity of antipsychotics. Numerous genetic variants in genes controlling drug availability or involved in antipsychotic processes have been linked to treatment variability. The complex mechanism of action and multitarget profile of most antipsychotic drugs hinder the identification of pharmacogenetic markers of clinical value. Nevertheless, the validity of associations between variants in CYP1A2, CYP2D6, CYP2C19, ABCB1, DRD2, DRD3, HTR2A, HTR2C, BDNF, COMT, MC4R genes and antipsychotic response has been confirmed in independent candidate gene studies. Genome wide pharmacogenomic studies have proven the role of the glutamatergic pathway in mediating antipsychotic activity and have reported novel associations with antipsychotic response. However, only a limited number of the findings, mainly functional variants of CYP metabolic enzymes, have been shown to be of clinical utility and translated into useful pharmacogenetic markers. Based on the currently available information, actionable pharmacogenetics should be reduced to antipsychotics' dose adjustment according to the genetically predicted metabolic status (CYPs' profile) of the patient. Growing evidence suggests that such interventions will reduce antipsychotics' side-effects and increase treatment safety. Despite this evidence, the use of pharmacogenetics in psychiatric wards is minimal. Hopefully, further evidence on the clinical and economic benefits, the development of clinical protocols based on pharmacogenetic information, and improved and cheaper genetic testing will increase the implementation of pharmacogenetic guided prescription in clinical settings.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacogenética / Antipsicóticos / Medicina de Precisión Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Behav Brain Res Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacogenética / Antipsicóticos / Medicina de Precisión Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Behav Brain Res Año: 2021 Tipo del documento: Article