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Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease
The vascular adhesion protein-1 (VAP-1) inhibitor ASP8232 reduces albuminuria in patients with type 2 diabetes and chronic kidney disease. A mechanism-based model was developed to quantify the effects of ASP8232 on renal markers from a placebo-controlled Phase 2 study in diabetic kidney disease with...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979602/ https://www.ncbi.nlm.nih.gov/pubmed/32929612 http://dx.doi.org/10.1007/s10928-020-09716-x |
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author | Hoefman, Sven Snelder, Nelleke van Noort, Martijn Garcia-Hernandez, Alberto Onkels, Hartmut Larsson, Tobias E. Bergmann, Kirsten R. |
author_facet | Hoefman, Sven Snelder, Nelleke van Noort, Martijn Garcia-Hernandez, Alberto Onkels, Hartmut Larsson, Tobias E. Bergmann, Kirsten R. |
author_sort | Hoefman, Sven |
collection | PubMed |
description | The vascular adhesion protein-1 (VAP-1) inhibitor ASP8232 reduces albuminuria in patients with type 2 diabetes and chronic kidney disease. A mechanism-based model was developed to quantify the effects of ASP8232 on renal markers from a placebo-controlled Phase 2 study in diabetic kidney disease with 12 weeks of ASP8232 treatment. The model incorporated the available pharmacokinetic, pharmacodynamic (plasma VAP-1 concentration and activity), serum and urine creatinine, serum cystatin C, albumin excretion rate, urinary albumin-to-creatinine ratio, and urine volume information in an integrated manner. Drug-independent time-varying changes and different drug effects could be quantified for these markers using the model. Through simulations, this model provided the opportunity to dissect the relationship and longitudinal association between the estimated glomerular filtration rate and albuminuria and to quantify the pharmacological effects of ASP8232. The developed drug-independent model may be useful as a starting point for other compounds affecting the same biomarkers in a similar time scale. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10928-020-09716-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7979602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-79796022021-04-05 Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease Hoefman, Sven Snelder, Nelleke van Noort, Martijn Garcia-Hernandez, Alberto Onkels, Hartmut Larsson, Tobias E. Bergmann, Kirsten R. J Pharmacokinet Pharmacodyn Original Paper The vascular adhesion protein-1 (VAP-1) inhibitor ASP8232 reduces albuminuria in patients with type 2 diabetes and chronic kidney disease. A mechanism-based model was developed to quantify the effects of ASP8232 on renal markers from a placebo-controlled Phase 2 study in diabetic kidney disease with 12 weeks of ASP8232 treatment. The model incorporated the available pharmacokinetic, pharmacodynamic (plasma VAP-1 concentration and activity), serum and urine creatinine, serum cystatin C, albumin excretion rate, urinary albumin-to-creatinine ratio, and urine volume information in an integrated manner. Drug-independent time-varying changes and different drug effects could be quantified for these markers using the model. Through simulations, this model provided the opportunity to dissect the relationship and longitudinal association between the estimated glomerular filtration rate and albuminuria and to quantify the pharmacological effects of ASP8232. The developed drug-independent model may be useful as a starting point for other compounds affecting the same biomarkers in a similar time scale. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10928-020-09716-x) contains supplementary material, which is available to authorized users. Springer US 2020-09-14 2021 /pmc/articles/PMC7979602/ /pubmed/32929612 http://dx.doi.org/10.1007/s10928-020-09716-x 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 | Original Paper Hoefman, Sven Snelder, Nelleke van Noort, Martijn Garcia-Hernandez, Alberto Onkels, Hartmut Larsson, Tobias E. Bergmann, Kirsten R. Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
title | Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
title_full | Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
title_fullStr | Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
title_full_unstemmed | Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
title_short | Mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
title_sort | mechanism-based modeling of the effect of a novel inhibitor of vascular adhesion protein-1 on albuminuria and renal function markers in patients with diabetic kidney disease |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979602/ https://www.ncbi.nlm.nih.gov/pubmed/32929612 http://dx.doi.org/10.1007/s10928-020-09716-x |
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