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A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes
Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by abnormally high blood glucose concentrations due to dysfunction of the insulin‐producing beta‐cells in the pancreas. Dapagliflozin, an inhibitor of renal glucose reabsorption, has the potential to improve often suboptimal glyc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272306/ https://www.ncbi.nlm.nih.gov/pubmed/36912425 http://dx.doi.org/10.1002/psp4.12956 |
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author | Sokolov, Victor Yakovleva, Tatiana Stolbov, Leonid Penland, Robert C. Boulton, David Parkinson, Joanna Tang, Weifeng |
author_facet | Sokolov, Victor Yakovleva, Tatiana Stolbov, Leonid Penland, Robert C. Boulton, David Parkinson, Joanna Tang, Weifeng |
author_sort | Sokolov, Victor |
collection | PubMed |
description | Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by abnormally high blood glucose concentrations due to dysfunction of the insulin‐producing beta‐cells in the pancreas. Dapagliflozin, an inhibitor of renal glucose reabsorption, has the potential to improve often suboptimal glycemic control in patients with T1DM through insulin‐independent mechanisms and to partially mitigate the adverse effects associated with long‐term insulin administration. In this work, we have adapted a systems pharmacology model of type 2 diabetes mellitus to describe the T1DM condition and characterize the effect of dapagliflozin on short‐ and long‐term glycemic markers under various treatment scenarios. The developed platform serves as a quantitative tool for the in silico evaluation of the insulin‐glucose‐dapagliflozin crosstalk, optimization of the treatment regimens, and it can be further expanded to include additional therapies or other aspects of the disease. |
format | Online Article Text |
id | pubmed-10272306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102723062023-06-17 A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes Sokolov, Victor Yakovleva, Tatiana Stolbov, Leonid Penland, Robert C. Boulton, David Parkinson, Joanna Tang, Weifeng CPT Pharmacometrics Syst Pharmacol Research Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by abnormally high blood glucose concentrations due to dysfunction of the insulin‐producing beta‐cells in the pancreas. Dapagliflozin, an inhibitor of renal glucose reabsorption, has the potential to improve often suboptimal glycemic control in patients with T1DM through insulin‐independent mechanisms and to partially mitigate the adverse effects associated with long‐term insulin administration. In this work, we have adapted a systems pharmacology model of type 2 diabetes mellitus to describe the T1DM condition and characterize the effect of dapagliflozin on short‐ and long‐term glycemic markers under various treatment scenarios. The developed platform serves as a quantitative tool for the in silico evaluation of the insulin‐glucose‐dapagliflozin crosstalk, optimization of the treatment regimens, and it can be further expanded to include additional therapies or other aspects of the disease. John Wiley and Sons Inc. 2023-03-16 /pmc/articles/PMC10272306/ /pubmed/36912425 http://dx.doi.org/10.1002/psp4.12956 Text en © 2023 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 Sokolov, Victor Yakovleva, Tatiana Stolbov, Leonid Penland, Robert C. Boulton, David Parkinson, Joanna Tang, Weifeng A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes |
title | A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes |
title_full | A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes |
title_fullStr | A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes |
title_full_unstemmed | A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes |
title_short | A mechanistic modeling platform of SGLT2 inhibition: Implications for type 1 diabetes |
title_sort | mechanistic modeling platform of sglt2 inhibition: implications for type 1 diabetes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272306/ https://www.ncbi.nlm.nih.gov/pubmed/36912425 http://dx.doi.org/10.1002/psp4.12956 |
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