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Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness
BACKGROUND: Approximately 30% of individuals with schizophrenia (SZ) are resistant to conventional antipsychotic drug therapy (AP). Of these, one-third are also resistant to the second-line treatment, clozapine. Treatment resistance and refractoriness are associated with increased morbidity and disa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515128/ https://www.ncbi.nlm.nih.gov/pubmed/35416253 http://dx.doi.org/10.1093/ijnp/pyac025 |
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author | Zazueta, Alejandra Castillo, Tito Cavieres, Álvaro González, René Abarca, Maximiliano Nieto, Rodrigo R Deneken, Javier Araneda, Cristian Moya, Pablo R Bustamante, M Leonor |
author_facet | Zazueta, Alejandra Castillo, Tito Cavieres, Álvaro González, René Abarca, Maximiliano Nieto, Rodrigo R Deneken, Javier Araneda, Cristian Moya, Pablo R Bustamante, M Leonor |
author_sort | Zazueta, Alejandra |
collection | PubMed |
description | BACKGROUND: Approximately 30% of individuals with schizophrenia (SZ) are resistant to conventional antipsychotic drug therapy (AP). Of these, one-third are also resistant to the second-line treatment, clozapine. Treatment resistance and refractoriness are associated with increased morbidity and disability, making timely detection of these issues critical. Variability in treatment responsiveness is partly genetic, but research has yet to identify variants suitable for personalizing antipsychotic prescriptions. METHODS: We evaluated potential associations between response to AP and candidate gene variants previously linked to SZ or treatment response. Two groups of patients with SZ were evaluated: one receiving clozapine (n = 135) and the other receiving another second-generation AP (n = 61). Single-nucleotide polymorphisms (SNPs) in the genes OXT, OXTR, CNR1, DDC, and DRD2 were analyzed. RESULTS: Several SNPs were associated with response vs. resistance to AP or clozapine. CONCLUSIONS: This is the first study of its kind, to our knowledge, in our admixed Chilean population to address the complete treatment response spectrum. We identified SNPs predictive of treatment-resistant SZ in the genes OXT, CNR1, DDC, and DRD2. |
format | Online Article Text |
id | pubmed-9515128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95151282022-09-28 Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness Zazueta, Alejandra Castillo, Tito Cavieres, Álvaro González, René Abarca, Maximiliano Nieto, Rodrigo R Deneken, Javier Araneda, Cristian Moya, Pablo R Bustamante, M Leonor Int J Neuropsychopharmacol Regular Research Articles BACKGROUND: Approximately 30% of individuals with schizophrenia (SZ) are resistant to conventional antipsychotic drug therapy (AP). Of these, one-third are also resistant to the second-line treatment, clozapine. Treatment resistance and refractoriness are associated with increased morbidity and disability, making timely detection of these issues critical. Variability in treatment responsiveness is partly genetic, but research has yet to identify variants suitable for personalizing antipsychotic prescriptions. METHODS: We evaluated potential associations between response to AP and candidate gene variants previously linked to SZ or treatment response. Two groups of patients with SZ were evaluated: one receiving clozapine (n = 135) and the other receiving another second-generation AP (n = 61). Single-nucleotide polymorphisms (SNPs) in the genes OXT, OXTR, CNR1, DDC, and DRD2 were analyzed. RESULTS: Several SNPs were associated with response vs. resistance to AP or clozapine. CONCLUSIONS: This is the first study of its kind, to our knowledge, in our admixed Chilean population to address the complete treatment response spectrum. We identified SNPs predictive of treatment-resistant SZ in the genes OXT, CNR1, DDC, and DRD2. Oxford University Press 2022-04-13 /pmc/articles/PMC9515128/ /pubmed/35416253 http://dx.doi.org/10.1093/ijnp/pyac025 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of CINP. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Regular Research Articles Zazueta, Alejandra Castillo, Tito Cavieres, Álvaro González, René Abarca, Maximiliano Nieto, Rodrigo R Deneken, Javier Araneda, Cristian Moya, Pablo R Bustamante, M Leonor Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness |
title | Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness |
title_full | Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness |
title_fullStr | Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness |
title_full_unstemmed | Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness |
title_short | Polymorphisms in Schizophrenia-Related Genes Are Potential Predictors of Antipsychotic Treatment Resistance and Refractoriness |
title_sort | polymorphisms in schizophrenia-related genes are potential predictors of antipsychotic treatment resistance and refractoriness |
topic | Regular Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515128/ https://www.ncbi.nlm.nih.gov/pubmed/35416253 http://dx.doi.org/10.1093/ijnp/pyac025 |
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