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Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine

The renin–angiotensin–aldosterone-systems (RAAS) play a central role in the pathophysiology of congestive heart failure (CHF), justifying the use of angiotensin converting enzyme inhibitors (ACEi) in dogs and humans with cardiac diseases. Seminal studies in canine CHF had suggested that the pharmaco...

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Autores principales: Schneider, Benjamin K., Ward, Jessica, Sotillo, Samantha, Garelli-Paar, Catherine, Guillot, Emilie, Prikazsky, Marc, Mochel, Jonathan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968717/
https://www.ncbi.nlm.nih.gov/pubmed/36843132
http://dx.doi.org/10.1038/s41598-023-30453-x
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author Schneider, Benjamin K.
Ward, Jessica
Sotillo, Samantha
Garelli-Paar, Catherine
Guillot, Emilie
Prikazsky, Marc
Mochel, Jonathan P.
author_facet Schneider, Benjamin K.
Ward, Jessica
Sotillo, Samantha
Garelli-Paar, Catherine
Guillot, Emilie
Prikazsky, Marc
Mochel, Jonathan P.
author_sort Schneider, Benjamin K.
collection PubMed
description The renin–angiotensin–aldosterone-systems (RAAS) play a central role in the pathophysiology of congestive heart failure (CHF), justifying the use of angiotensin converting enzyme inhibitors (ACEi) in dogs and humans with cardiac diseases. Seminal studies in canine CHF had suggested that the pharmacological action of benazepril was relatively independent of doses greater than 0.25 mg/kg P.O, thereby providing a rationale for the European labeled dose of benazepril in dogs with CHF. However, most of these earlier studies relied on measures of ACE activity, a sub-optimal endpoint to characterize the effect of ACEi on the RAAS. The objectives of this study were (i) to expand on previous mathematical modeling efforts of the dose-exposure–response relationship of benazepril on biomarkers of the RAAS which are relevant to CHF pathophysiology and disease prognosis; and (ii) to develop a software implementation capable of simulating clinical trials in benazepril in dogs bedside dose optimization. Our results suggest that 0.5 mg/kg PO q12h of benazepril produces the most robust reduction in angiotensin II and upregulation of RAAS alternative pathway biomarkers. This model will eventually be expanded to include relevant clinical endpoints, which will be evaluated in an upcoming prospective trial in canine patients with CHF.
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spelling pubmed-99687172023-02-28 Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine Schneider, Benjamin K. Ward, Jessica Sotillo, Samantha Garelli-Paar, Catherine Guillot, Emilie Prikazsky, Marc Mochel, Jonathan P. Sci Rep Article The renin–angiotensin–aldosterone-systems (RAAS) play a central role in the pathophysiology of congestive heart failure (CHF), justifying the use of angiotensin converting enzyme inhibitors (ACEi) in dogs and humans with cardiac diseases. Seminal studies in canine CHF had suggested that the pharmacological action of benazepril was relatively independent of doses greater than 0.25 mg/kg P.O, thereby providing a rationale for the European labeled dose of benazepril in dogs with CHF. However, most of these earlier studies relied on measures of ACE activity, a sub-optimal endpoint to characterize the effect of ACEi on the RAAS. The objectives of this study were (i) to expand on previous mathematical modeling efforts of the dose-exposure–response relationship of benazepril on biomarkers of the RAAS which are relevant to CHF pathophysiology and disease prognosis; and (ii) to develop a software implementation capable of simulating clinical trials in benazepril in dogs bedside dose optimization. Our results suggest that 0.5 mg/kg PO q12h of benazepril produces the most robust reduction in angiotensin II and upregulation of RAAS alternative pathway biomarkers. This model will eventually be expanded to include relevant clinical endpoints, which will be evaluated in an upcoming prospective trial in canine patients with CHF. Nature Publishing Group UK 2023-02-26 /pmc/articles/PMC9968717/ /pubmed/36843132 http://dx.doi.org/10.1038/s41598-023-30453-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Schneider, Benjamin K.
Ward, Jessica
Sotillo, Samantha
Garelli-Paar, Catherine
Guillot, Emilie
Prikazsky, Marc
Mochel, Jonathan P.
Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine
title Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine
title_full Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine
title_fullStr Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine
title_full_unstemmed Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine
title_short Breakthrough: a first-in-class virtual simulator for dose optimization of ACE inhibitors in translational cardiovascular medicine
title_sort breakthrough: a first-in-class virtual simulator for dose optimization of ace inhibitors in translational cardiovascular medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968717/
https://www.ncbi.nlm.nih.gov/pubmed/36843132
http://dx.doi.org/10.1038/s41598-023-30453-x
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