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Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine

PURPOSE: This study establishes a multiphysics simulation platform for both conventional and targeted thrombolysis using tissue plasminogen activator (tPA). Based on our computational results, the effects of therapeutic parameters on the dynamics of thrombolysis and the risk of side effects are inve...

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Autores principales: Gu, Boram, Huang, Yu, Manchester, Emily Louise, Hughes, Alun D., Thom, Simon A. McG., Chen, Rongjun, Xu, Xiao Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837543/
https://www.ncbi.nlm.nih.gov/pubmed/35044591
http://dx.doi.org/10.1007/s11095-021-03161-2
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author Gu, Boram
Huang, Yu
Manchester, Emily Louise
Hughes, Alun D.
Thom, Simon A. McG.
Chen, Rongjun
Xu, Xiao Yun
author_facet Gu, Boram
Huang, Yu
Manchester, Emily Louise
Hughes, Alun D.
Thom, Simon A. McG.
Chen, Rongjun
Xu, Xiao Yun
author_sort Gu, Boram
collection PubMed
description PURPOSE: This study establishes a multiphysics simulation platform for both conventional and targeted thrombolysis using tissue plasminogen activator (tPA). Based on our computational results, the effects of therapeutic parameters on the dynamics of thrombolysis and the risk of side effects are investigated. METHODS: The model extends our previously developed one-dimensional(1D) mathematical models for fibrinolysis by incorporating targeted thrombolysis. It consists of two parts: (i) a coupled mathematical model of systemic pharmacokinetics (PK) and pharmacodynamics (PD) and local PD in a 1D occluded artery, and (ii) a mechanistic model for a targeted thrombolytic system via activated platelet-targeted tPA-loaded nanovesicles (tPA-NV), with model parameters derived from our in vitro experiments. A total of 16 therapeutic scenarios are simulated by varying the clot location and composition as well as the dosing regimen with free tPA or tPA-NV. RESULTS: Our simulation results indicate that tPA-NV offers several advantages over free tPA for thrombolysis. It reduces systemic exposure of tPA, thereby minimising the risk of bleeding complications. Simulations with different tPA-NV doses reveal that tPA-NV at 10% of the recommended dose can be as effective as the standard regimen with the full recommended dose of free tPA, demonstrating the potential of our tPA-NV as a new thrombolytic strategy with a reduced tPA dose. Moreover, faster recanalisation can be achieved with tPA-NV, especially for platelet-rich(or fibrin-poor) clots. CONCLUSIONS: Our simulation platform for thrombolysis with well-tuned model parameters can be used to evaluate and optimise treatment regimens of existing and new thrombolytic therapies via benefit/risk assessment under various therapeutic scenarios. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11095-021-03161-2.
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spelling pubmed-88375432022-02-23 Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine Gu, Boram Huang, Yu Manchester, Emily Louise Hughes, Alun D. Thom, Simon A. McG. Chen, Rongjun Xu, Xiao Yun Pharm Res Research Paper PURPOSE: This study establishes a multiphysics simulation platform for both conventional and targeted thrombolysis using tissue plasminogen activator (tPA). Based on our computational results, the effects of therapeutic parameters on the dynamics of thrombolysis and the risk of side effects are investigated. METHODS: The model extends our previously developed one-dimensional(1D) mathematical models for fibrinolysis by incorporating targeted thrombolysis. It consists of two parts: (i) a coupled mathematical model of systemic pharmacokinetics (PK) and pharmacodynamics (PD) and local PD in a 1D occluded artery, and (ii) a mechanistic model for a targeted thrombolytic system via activated platelet-targeted tPA-loaded nanovesicles (tPA-NV), with model parameters derived from our in vitro experiments. A total of 16 therapeutic scenarios are simulated by varying the clot location and composition as well as the dosing regimen with free tPA or tPA-NV. RESULTS: Our simulation results indicate that tPA-NV offers several advantages over free tPA for thrombolysis. It reduces systemic exposure of tPA, thereby minimising the risk of bleeding complications. Simulations with different tPA-NV doses reveal that tPA-NV at 10% of the recommended dose can be as effective as the standard regimen with the full recommended dose of free tPA, demonstrating the potential of our tPA-NV as a new thrombolytic strategy with a reduced tPA dose. Moreover, faster recanalisation can be achieved with tPA-NV, especially for platelet-rich(or fibrin-poor) clots. CONCLUSIONS: Our simulation platform for thrombolysis with well-tuned model parameters can be used to evaluate and optimise treatment regimens of existing and new thrombolytic therapies via benefit/risk assessment under various therapeutic scenarios. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11095-021-03161-2. Springer US 2022-01-19 2022 /pmc/articles/PMC8837543/ /pubmed/35044591 http://dx.doi.org/10.1007/s11095-021-03161-2 Text en © The Author(s) 2022 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 Research Paper
Gu, Boram
Huang, Yu
Manchester, Emily Louise
Hughes, Alun D.
Thom, Simon A. McG.
Chen, Rongjun
Xu, Xiao Yun
Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine
title Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine
title_full Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine
title_fullStr Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine
title_full_unstemmed Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine
title_short Multiphysics Modelling and Simulation of Thrombolysis via Activated Platelet-Targeted Nanomedicine
title_sort multiphysics modelling and simulation of thrombolysis via activated platelet-targeted nanomedicine
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837543/
https://www.ncbi.nlm.nih.gov/pubmed/35044591
http://dx.doi.org/10.1007/s11095-021-03161-2
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