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A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables
The use of systems‐based pharmacological modeling approaches to characterize mode‐of‐action and concentration‐effect relationships for drugs on specific hemodynamic variables has been demonstrated. Here, we (i) expand a previously developed hemodynamic system model through integration of cardiac out...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124360/ https://www.ncbi.nlm.nih.gov/pubmed/35213797 http://dx.doi.org/10.1002/psp4.12774 |
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author | Fu, Yu Taghvafard, Hadi Said, Medhat M. Rossman, Eric I. Collins, Teresa A. Billiald‐Desquand, Stéphanie Leishman, Derek van der Graaf, Piet H. van Hasselt, J. G. Coen Snelder, Nelleke |
author_facet | Fu, Yu Taghvafard, Hadi Said, Medhat M. Rossman, Eric I. Collins, Teresa A. Billiald‐Desquand, Stéphanie Leishman, Derek van der Graaf, Piet H. van Hasselt, J. G. Coen Snelder, Nelleke |
author_sort | Fu, Yu |
collection | PubMed |
description | The use of systems‐based pharmacological modeling approaches to characterize mode‐of‐action and concentration‐effect relationships for drugs on specific hemodynamic variables has been demonstrated. Here, we (i) expand a previously developed hemodynamic system model through integration of cardiac output (CO) with contractility (CTR) using pressure‐volume loop theory, and (ii) evaluate the contribution of CO data for identification of system‐specific parameters, using atenolol as proof‐of‐concept drug. Previously collected experimental data was used to develop the systems model, and included measurements for heart rate (HR), CO, mean arterial pressure (MAP), and CTR after administration of atenolol (0.3–30 mg/kg) from three in vivo telemetry studies in conscious Beagle dogs. The developed cardiovascular (CVS)‐contractility systems model adequately described the effect of atenolol on HR, CO, dP/dtmax, and MAP dynamics and allowed identification of both system‐ and drug‐specific parameters with good precision. Model parameters were structurally identifiable, and the true mode of action can be identified properly. Omission of CO data did not lead to a significant change in parameter estimates compared to a model that included CO data. The newly developed CVS‐contractility systems model characterizes short‐term drug effects on CTR, CO, and other hemodynamic variables in an integrated and quantitative manner. When the baseline value of total peripheral resistance is predefined, CO data was not required to identify drug‐ and system‐specific parameters. Confirmation of the consistency of system‐specific parameters via inclusion of data for additional drugs and species is warranted. Ultimately, the developed model has the potential to be of relevance to support translational CVS safety studies. |
format | Online Article Text |
id | pubmed-9124360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91243602022-05-24 A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables Fu, Yu Taghvafard, Hadi Said, Medhat M. Rossman, Eric I. Collins, Teresa A. Billiald‐Desquand, Stéphanie Leishman, Derek van der Graaf, Piet H. van Hasselt, J. G. Coen Snelder, Nelleke CPT Pharmacometrics Syst Pharmacol Research The use of systems‐based pharmacological modeling approaches to characterize mode‐of‐action and concentration‐effect relationships for drugs on specific hemodynamic variables has been demonstrated. Here, we (i) expand a previously developed hemodynamic system model through integration of cardiac output (CO) with contractility (CTR) using pressure‐volume loop theory, and (ii) evaluate the contribution of CO data for identification of system‐specific parameters, using atenolol as proof‐of‐concept drug. Previously collected experimental data was used to develop the systems model, and included measurements for heart rate (HR), CO, mean arterial pressure (MAP), and CTR after administration of atenolol (0.3–30 mg/kg) from three in vivo telemetry studies in conscious Beagle dogs. The developed cardiovascular (CVS)‐contractility systems model adequately described the effect of atenolol on HR, CO, dP/dtmax, and MAP dynamics and allowed identification of both system‐ and drug‐specific parameters with good precision. Model parameters were structurally identifiable, and the true mode of action can be identified properly. Omission of CO data did not lead to a significant change in parameter estimates compared to a model that included CO data. The newly developed CVS‐contractility systems model characterizes short‐term drug effects on CTR, CO, and other hemodynamic variables in an integrated and quantitative manner. When the baseline value of total peripheral resistance is predefined, CO data was not required to identify drug‐ and system‐specific parameters. Confirmation of the consistency of system‐specific parameters via inclusion of data for additional drugs and species is warranted. Ultimately, the developed model has the potential to be of relevance to support translational CVS safety studies. John Wiley and Sons Inc. 2022-03-18 2022-05 /pmc/articles/PMC9124360/ /pubmed/35213797 http://dx.doi.org/10.1002/psp4.12774 Text en © 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Fu, Yu Taghvafard, Hadi Said, Medhat M. Rossman, Eric I. Collins, Teresa A. Billiald‐Desquand, Stéphanie Leishman, Derek van der Graaf, Piet H. van Hasselt, J. G. Coen Snelder, Nelleke A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
title | A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
title_full | A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
title_fullStr | A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
title_full_unstemmed | A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
title_short | A novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
title_sort | novel cardiovascular systems model to quantify drugs effects on the inter‐relationship between contractility and other hemodynamic variables |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124360/ https://www.ncbi.nlm.nih.gov/pubmed/35213797 http://dx.doi.org/10.1002/psp4.12774 |
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