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A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions
Assessment of pharmacodynamic (PD) drug interactions is a cornerstone of the development of combination drug therapies. To guide this venture, we derive a general pharmacodynamic interaction (GPDI) model for ≥2 interacting drugs that is compatible with common additivity criteria. We propose a PD int...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730559/ https://www.ncbi.nlm.nih.gov/pubmed/29242552 http://dx.doi.org/10.1038/s41467-017-01929-y |
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author | Wicha, Sebastian G. Chen, Chunli Clewe, Oskar Simonsson, Ulrika S. H. |
author_facet | Wicha, Sebastian G. Chen, Chunli Clewe, Oskar Simonsson, Ulrika S. H. |
author_sort | Wicha, Sebastian G. |
collection | PubMed |
description | Assessment of pharmacodynamic (PD) drug interactions is a cornerstone of the development of combination drug therapies. To guide this venture, we derive a general pharmacodynamic interaction (GPDI) model for ≥2 interacting drugs that is compatible with common additivity criteria. We propose a PD interaction to be quantifiable as multidirectional shifts in drug efficacy or potency and explicate the drugs’ role as victim, perpetrator or even both at the same time. We evaluate the GPDI model against conventional approaches in a data set of 200 combination experiments in Saccharomyces cerevisiae: 22% interact additively, a minority of the interactions (11%) are bidirectional antagonistic or synergistic, whereas the majority (67%) are monodirectional, i.e., asymmetric with distinct perpetrators and victims, which is not classifiable by conventional methods. The GPDI model excellently reflects the observed interaction data, and hence represents an attractive approach for quantitative assessment of novel combination therapies along the drug development process. |
format | Online Article Text |
id | pubmed-5730559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57305592017-12-18 A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions Wicha, Sebastian G. Chen, Chunli Clewe, Oskar Simonsson, Ulrika S. H. Nat Commun Article Assessment of pharmacodynamic (PD) drug interactions is a cornerstone of the development of combination drug therapies. To guide this venture, we derive a general pharmacodynamic interaction (GPDI) model for ≥2 interacting drugs that is compatible with common additivity criteria. We propose a PD interaction to be quantifiable as multidirectional shifts in drug efficacy or potency and explicate the drugs’ role as victim, perpetrator or even both at the same time. We evaluate the GPDI model against conventional approaches in a data set of 200 combination experiments in Saccharomyces cerevisiae: 22% interact additively, a minority of the interactions (11%) are bidirectional antagonistic or synergistic, whereas the majority (67%) are monodirectional, i.e., asymmetric with distinct perpetrators and victims, which is not classifiable by conventional methods. The GPDI model excellently reflects the observed interaction data, and hence represents an attractive approach for quantitative assessment of novel combination therapies along the drug development process. Nature Publishing Group UK 2017-12-14 /pmc/articles/PMC5730559/ /pubmed/29242552 http://dx.doi.org/10.1038/s41467-017-01929-y Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wicha, Sebastian G. Chen, Chunli Clewe, Oskar Simonsson, Ulrika S. H. A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
title | A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
title_full | A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
title_fullStr | A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
title_full_unstemmed | A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
title_short | A general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
title_sort | general pharmacodynamic interaction model identifies perpetrators and victims in drug interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5730559/ https://www.ncbi.nlm.nih.gov/pubmed/29242552 http://dx.doi.org/10.1038/s41467-017-01929-y |
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