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MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection

Subcutaneous injection of monoclonal antibodies (mAbs) has attracted much attention in the pharmaceutical industry. During the injection, the drug is delivered into the tissue producing strong fluid flow and tissue deformation. While data indicate that the drug is initially uptaken by the lymphatic...

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Detalles Bibliográficos
Autores principales: Wang, Hao, Hu, Tianyi, Leng, Yu, de Lucio, Mario, Gomez, Hector
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851243/
https://www.ncbi.nlm.nih.gov/pubmed/36625437
http://dx.doi.org/10.1080/10717544.2022.2163003
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author Wang, Hao
Hu, Tianyi
Leng, Yu
de Lucio, Mario
Gomez, Hector
author_facet Wang, Hao
Hu, Tianyi
Leng, Yu
de Lucio, Mario
Gomez, Hector
author_sort Wang, Hao
collection PubMed
description Subcutaneous injection of monoclonal antibodies (mAbs) has attracted much attention in the pharmaceutical industry. During the injection, the drug is delivered into the tissue producing strong fluid flow and tissue deformation. While data indicate that the drug is initially uptaken by the lymphatic system due to the large size of mAbs, many of the critical absorption processes that occur at the injection site remain poorly understood. Here, we propose the MPET(2) approach, a multi-network poroelastic and transport model to predict the absorption of mAbs during and after subcutaneous injection. Our model is based on physical principles of tissue biomechanics and fluid dynamics. The subcutaneous tissue is modeled as a mixture of three compartments, i.e., interstitial tissue, blood vessels, and lymphatic vessels, with each compartment modeled as a porous medium. The proposed biomechanical model describes tissue deformation, fluid flow in each compartment, the fluid exchanges between compartments, the absorption of mAbs in blood vessels and lymphatic vessels, as well as the transport of mAbs in each compartment. We used our model to perform a high-fidelity simulation of an injection of mAbs in subcutaneous tissue and evaluated the long-term drug absorption. Our model results show good agreement with experimental data in depot clearance tests.
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spelling pubmed-98512432023-01-20 MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection Wang, Hao Hu, Tianyi Leng, Yu de Lucio, Mario Gomez, Hector Drug Deliv Research Article Subcutaneous injection of monoclonal antibodies (mAbs) has attracted much attention in the pharmaceutical industry. During the injection, the drug is delivered into the tissue producing strong fluid flow and tissue deformation. While data indicate that the drug is initially uptaken by the lymphatic system due to the large size of mAbs, many of the critical absorption processes that occur at the injection site remain poorly understood. Here, we propose the MPET(2) approach, a multi-network poroelastic and transport model to predict the absorption of mAbs during and after subcutaneous injection. Our model is based on physical principles of tissue biomechanics and fluid dynamics. The subcutaneous tissue is modeled as a mixture of three compartments, i.e., interstitial tissue, blood vessels, and lymphatic vessels, with each compartment modeled as a porous medium. The proposed biomechanical model describes tissue deformation, fluid flow in each compartment, the fluid exchanges between compartments, the absorption of mAbs in blood vessels and lymphatic vessels, as well as the transport of mAbs in each compartment. We used our model to perform a high-fidelity simulation of an injection of mAbs in subcutaneous tissue and evaluated the long-term drug absorption. Our model results show good agreement with experimental data in depot clearance tests. Taylor & Francis 2023-01-10 /pmc/articles/PMC9851243/ /pubmed/36625437 http://dx.doi.org/10.1080/10717544.2022.2163003 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Hao
Hu, Tianyi
Leng, Yu
de Lucio, Mario
Gomez, Hector
MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
title MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
title_full MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
title_fullStr MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
title_full_unstemmed MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
title_short MPET(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
title_sort mpet(2): a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851243/
https://www.ncbi.nlm.nih.gov/pubmed/36625437
http://dx.doi.org/10.1080/10717544.2022.2163003
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