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Modeling large-volume subcutaneous injection of monoclonal antibodies with anisotropic porohyperelastic models and data-driven tissue layer geometries.

Authors :
de Lucio M
Leng Y
Hans A
Bilionis I
Brindise M
Ardekani AM
Vlachos PP
Gomez H
Source :
Journal of the mechanical behavior of biomedical materials [J Mech Behav Biomed Mater] 2023 Feb; Vol. 138, pp. 105602. Date of Electronic Publication: 2022 Dec 09.
Publication Year :
2023

Abstract

Subcutaneous injection of therapeutic monoclonal antibodies (mAbs) has become one of the fastest-growing fields in the pharmaceutical industry. The transport and mechanical processes behind large volume injections are poorly understood. Here, we leverage a large-deformation poroelastic model to study high-dose, high-speed subcutaneous injection. We account for the anisotropy of subcutaneous tissue using of a fibril-reinforced porohyperelastic model. We also incorporate the multi-layer structure of the skin tissue, generating data-driven geometrical models of the tissue layers using histological data. We analyze the impact of handheld autoinjectors on the injection dynamics for different patient forces. Our simulations show the importance of considering the large deformation approach to model large injection volumes. This work opens opportunities to better understand the mechanics and transport processes that occur in large-volume subcutaneous injections of mAbs.<br />Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Hector Gomez reports financial support was provided by Eli Lilly and Company. All co-authors reports financial support was provided by Eli Lilly and Company.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1878-0180
Volume :
138
Database :
MEDLINE
Journal :
Journal of the mechanical behavior of biomedical materials
Publication Type :
Academic Journal
Accession number :
36529050
Full Text :
https://doi.org/10.1016/j.jmbbm.2022.105602