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Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection
BACKGROUND: Treatment in bipolar disorder (BD) is commonly applied as a multimodal therapy based on decision algorithms that lack an integrative understanding of molecular mechanisms or a biomarker associated clinical outcome measure. Pharmacogenetics/genomics study the individual genetic variation...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338319/ https://www.ncbi.nlm.nih.gov/pubmed/32632502 http://dx.doi.org/10.1186/s40345-020-00184-3 |
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author | Cuéllar-Barboza, Alfredo B. McElroy, Susan L. Veldic, Marin Singh, Balwinder Kung, Simon Romo-Nava, Francisco Nunez, Nicolas A. Cabello-Arreola, Alejandra Coombes, Brandon J. Prieto, Miguel Betcher, Hannah K. Moore, Katherine M. Winham, Stacey J. Biernacka, Joanna M. Frye, Mark A. |
author_facet | Cuéllar-Barboza, Alfredo B. McElroy, Susan L. Veldic, Marin Singh, Balwinder Kung, Simon Romo-Nava, Francisco Nunez, Nicolas A. Cabello-Arreola, Alejandra Coombes, Brandon J. Prieto, Miguel Betcher, Hannah K. Moore, Katherine M. Winham, Stacey J. Biernacka, Joanna M. Frye, Mark A. |
author_sort | Cuéllar-Barboza, Alfredo B. |
collection | PubMed |
description | BACKGROUND: Treatment in bipolar disorder (BD) is commonly applied as a multimodal therapy based on decision algorithms that lack an integrative understanding of molecular mechanisms or a biomarker associated clinical outcome measure. Pharmacogenetics/genomics study the individual genetic variation associated with drug response. This selective review of pharmacogenomics and pharmacogenomic testing (PGT) in BD will focus on candidate genes and genome wide association studies of pharmacokinetic drug metabolism and pharmacodynamic drug response/adverse event, and the potential role of decision support tools that incorporate multiple genotype/phenotype drug recommendations. MAIN BODY: We searched PubMed from January 2013 to May 2019, to identify studies reporting on BD and pharmacogenetics, pharmacogenomics and PGT. Studies were selected considering their contribution to the field. We summarize our findings in: targeted candidate genes of pharmacokinetic and pharmacodynamic pathways, genome-wide association studies and, PGT platforms, related to BD treatment. This field has grown from studies of metabolizing enzymes (i.e., pharmacokinetics) and drug transporters (i.e., pharmacodynamics), to untargeted investigations across the entire genome with the potential to merge genomic data with additional biological information. CONCLUSIONS: The complexity of BD genetics and, the heterogeneity in BD drug-related phenotypes, are important considerations for the design and interpretation of BD PGT. The clinical applicability of PGT in psychiatry is in its infancy and is far from reaching the robust impact it has in other medical disciplines. Nonetheless, promising findings are discovered with increasing frequency with remarkable relevance in neuroscience, pharmacology and biology. |
format | Online Article Text |
id | pubmed-7338319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-73383192020-07-09 Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection Cuéllar-Barboza, Alfredo B. McElroy, Susan L. Veldic, Marin Singh, Balwinder Kung, Simon Romo-Nava, Francisco Nunez, Nicolas A. Cabello-Arreola, Alejandra Coombes, Brandon J. Prieto, Miguel Betcher, Hannah K. Moore, Katherine M. Winham, Stacey J. Biernacka, Joanna M. Frye, Mark A. Int J Bipolar Disord Review BACKGROUND: Treatment in bipolar disorder (BD) is commonly applied as a multimodal therapy based on decision algorithms that lack an integrative understanding of molecular mechanisms or a biomarker associated clinical outcome measure. Pharmacogenetics/genomics study the individual genetic variation associated with drug response. This selective review of pharmacogenomics and pharmacogenomic testing (PGT) in BD will focus on candidate genes and genome wide association studies of pharmacokinetic drug metabolism and pharmacodynamic drug response/adverse event, and the potential role of decision support tools that incorporate multiple genotype/phenotype drug recommendations. MAIN BODY: We searched PubMed from January 2013 to May 2019, to identify studies reporting on BD and pharmacogenetics, pharmacogenomics and PGT. Studies were selected considering their contribution to the field. We summarize our findings in: targeted candidate genes of pharmacokinetic and pharmacodynamic pathways, genome-wide association studies and, PGT platforms, related to BD treatment. This field has grown from studies of metabolizing enzymes (i.e., pharmacokinetics) and drug transporters (i.e., pharmacodynamics), to untargeted investigations across the entire genome with the potential to merge genomic data with additional biological information. CONCLUSIONS: The complexity of BD genetics and, the heterogeneity in BD drug-related phenotypes, are important considerations for the design and interpretation of BD PGT. The clinical applicability of PGT in psychiatry is in its infancy and is far from reaching the robust impact it has in other medical disciplines. Nonetheless, promising findings are discovered with increasing frequency with remarkable relevance in neuroscience, pharmacology and biology. Springer Berlin Heidelberg 2020-07-04 /pmc/articles/PMC7338319/ /pubmed/32632502 http://dx.doi.org/10.1186/s40345-020-00184-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Cuéllar-Barboza, Alfredo B. McElroy, Susan L. Veldic, Marin Singh, Balwinder Kung, Simon Romo-Nava, Francisco Nunez, Nicolas A. Cabello-Arreola, Alejandra Coombes, Brandon J. Prieto, Miguel Betcher, Hannah K. Moore, Katherine M. Winham, Stacey J. Biernacka, Joanna M. Frye, Mark A. Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
title | Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
title_full | Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
title_fullStr | Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
title_full_unstemmed | Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
title_short | Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
title_sort | potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338319/ https://www.ncbi.nlm.nih.gov/pubmed/32632502 http://dx.doi.org/10.1186/s40345-020-00184-3 |
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