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Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates
Schizophrenia is a severe neuropsychiatric disorder that affects approximately 0.5–1% of the population. Response to antipsychotic therapy is highly variable, and it is not currently possible to predict those patients who will or will not respond to antipsychotic medication. Furthermore, a high perc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476957/ https://www.ncbi.nlm.nih.gov/pubmed/31040787 http://dx.doi.org/10.3389/fphar.2019.00402 |
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author | Vita, Antonio Minelli, Alessandra Barlati, Stefano Deste, Giacomo Giacopuzzi, Edoardo Valsecchi, Paolo Turrina, Cesare Gennarelli, Massimo |
author_facet | Vita, Antonio Minelli, Alessandra Barlati, Stefano Deste, Giacomo Giacopuzzi, Edoardo Valsecchi, Paolo Turrina, Cesare Gennarelli, Massimo |
author_sort | Vita, Antonio |
collection | PubMed |
description | Schizophrenia is a severe neuropsychiatric disorder that affects approximately 0.5–1% of the population. Response to antipsychotic therapy is highly variable, and it is not currently possible to predict those patients who will or will not respond to antipsychotic medication. Furthermore, a high percentage of patients, approximately 30%, are classified as treatment-resistant (treatment-resistant schizophrenia; TRS). TRS is defined as a non-response to at least two trials of antipsychotic medication of adequate dose and duration. These patients are usually treated with clozapine, the only evidence-based pharmacotherapy for TRS. However, clozapine is associated with severe adverse events. For these reasons, there is an increasing interest to identify better targets for drug development of new compounds and to establish better biomarkers for existing medications. The ability of antipsychotics to improve psychotic symptoms is dependent on their antagonist and reverse agonist activities at different neuroreceptors, and some genetic association studies of TRS have focused on different pharmacodynamic factors. Some genetic studies have shown an association between antipsychotic response or TRS and neurodevelopment candidate genes, antipsychotic mechanisms of action (such as dopaminergic, serotonergic, GABAergic, and glutamatergic) or pharmacokinetic factors (i.e., differences in the cytochrome families). Moreover, there is a growing body of literature on the structural and functional neuroimaging research into TRS. Neuroimaging studies can help to uncover the underlying neurobiological reasons for such resistance and identify resistant patients earlier. Studies examining the neuropharmacological mechanisms of antipsychotics, including clozapine, can help to improve our knowledge of their action on the central nervous system, with further implications for the discovery of biomarkers and the development of new treatments. The identification of the underlying mechanisms of TRS is a major challenge for developing personalized medicine in the psychiatric field for schizophrenia treatment. The main goal of precision medicine is to use genetic and brain-imaging information to improve the safety, effectiveness, and health outcomes of patients via more efficiently targeted risk stratification, prevention, and tailored medication and treatment management approaches. The aim of this review is to summarize the state of art of pharmacogenetic, pharmacogenomic and neuroimaging studies in TRS. |
format | Online Article Text |
id | pubmed-6476957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64769572019-04-30 Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates Vita, Antonio Minelli, Alessandra Barlati, Stefano Deste, Giacomo Giacopuzzi, Edoardo Valsecchi, Paolo Turrina, Cesare Gennarelli, Massimo Front Pharmacol Pharmacology Schizophrenia is a severe neuropsychiatric disorder that affects approximately 0.5–1% of the population. Response to antipsychotic therapy is highly variable, and it is not currently possible to predict those patients who will or will not respond to antipsychotic medication. Furthermore, a high percentage of patients, approximately 30%, are classified as treatment-resistant (treatment-resistant schizophrenia; TRS). TRS is defined as a non-response to at least two trials of antipsychotic medication of adequate dose and duration. These patients are usually treated with clozapine, the only evidence-based pharmacotherapy for TRS. However, clozapine is associated with severe adverse events. For these reasons, there is an increasing interest to identify better targets for drug development of new compounds and to establish better biomarkers for existing medications. The ability of antipsychotics to improve psychotic symptoms is dependent on their antagonist and reverse agonist activities at different neuroreceptors, and some genetic association studies of TRS have focused on different pharmacodynamic factors. Some genetic studies have shown an association between antipsychotic response or TRS and neurodevelopment candidate genes, antipsychotic mechanisms of action (such as dopaminergic, serotonergic, GABAergic, and glutamatergic) or pharmacokinetic factors (i.e., differences in the cytochrome families). Moreover, there is a growing body of literature on the structural and functional neuroimaging research into TRS. Neuroimaging studies can help to uncover the underlying neurobiological reasons for such resistance and identify resistant patients earlier. Studies examining the neuropharmacological mechanisms of antipsychotics, including clozapine, can help to improve our knowledge of their action on the central nervous system, with further implications for the discovery of biomarkers and the development of new treatments. The identification of the underlying mechanisms of TRS is a major challenge for developing personalized medicine in the psychiatric field for schizophrenia treatment. The main goal of precision medicine is to use genetic and brain-imaging information to improve the safety, effectiveness, and health outcomes of patients via more efficiently targeted risk stratification, prevention, and tailored medication and treatment management approaches. The aim of this review is to summarize the state of art of pharmacogenetic, pharmacogenomic and neuroimaging studies in TRS. Frontiers Media S.A. 2019-04-16 /pmc/articles/PMC6476957/ /pubmed/31040787 http://dx.doi.org/10.3389/fphar.2019.00402 Text en Copyright © 2019 Vita, Minelli, Barlati, Deste, Giacopuzzi, Valsecchi, Turrina and Gennarelli. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Vita, Antonio Minelli, Alessandra Barlati, Stefano Deste, Giacomo Giacopuzzi, Edoardo Valsecchi, Paolo Turrina, Cesare Gennarelli, Massimo Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates |
title | Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates |
title_full | Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates |
title_fullStr | Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates |
title_full_unstemmed | Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates |
title_short | Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates |
title_sort | treatment-resistant schizophrenia: genetic and neuroimaging correlates |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476957/ https://www.ncbi.nlm.nih.gov/pubmed/31040787 http://dx.doi.org/10.3389/fphar.2019.00402 |
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