MPET2: a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection

UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.grupoInvGrupo de Métodos Numéricos en Enxeñaría (GMNI)es_ES
UDC.issue1es_ES
UDC.journalTitleDrug Deliveryes_ES
UDC.startPage2163003es_ES
UDC.volume30es_ES
dc.contributor.authorWang, Hao
dc.contributor.authorHu, Tianyi
dc.contributor.authorLeng, Yu
dc.contributor.authorLucio, Mario de
dc.contributor.authorGómez, Héctor
dc.date.accessioned2024-10-14T18:02:12Z
dc.date.available2024-10-14T18:02:12Z
dc.date.issued2023
dc.description.abstract[Abstract:] 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 MPET2 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.es_ES
dc.identifier.citationWang, H., Hu, T., Leng, Y., de Lucio, M., & Gomez, H. (2023). MPET2: a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection. Drug Delivery, 30(1). https://doi.org/10.1080/10717544.2022.2163003es_ES
dc.identifier.doi10.1080/10717544.2022.2163003
dc.identifier.urihttp://hdl.handle.net/2183/39607
dc.language.isoenges_ES
dc.publisherTaylor & Francises_ES
dc.relation.urihttps://doi.org/10.1080/10717544.2022.2163003es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSubcutaneous injectiones_ES
dc.subjectMulti-network poroelastic (MPET) modeles_ES
dc.subjectMonoclonal antibodieses_ES
dc.subjectSubcutaneous biomechanicses_ES
dc.subjectBiomechanical modelinges_ES
dc.titleMPET2: a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injectiones_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication0976003a-599e-4b50-b5d0-f308a00ddb56
relation.isAuthorOfPublication.latestForDiscovery0976003a-599e-4b50-b5d0-f308a00ddb56

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