Multiphysics modelling of the impact of skin deformation and strain on microneedle-based transdermal therapeutic delivery

Microneedle patches (MNs) hold enormous potential to facilitate the minimally-invasive delivery of drugs and vaccines transdermally. However, the micro-mechanics of skin deformation significantly influence the permeation of therapeutics through the skin. Previous studies often fail to appreciate the complexities in microneedle-skin mechanical interactions. This may impede the accuracy of MNs pre-clinical assessments. Here, we develop a multiphysics finite element model which simulates the biomechanics of microneedle skin penetration and the subsequent permeation of therapeutics. Employing the aqueous pore path hypothesis, we consider how strain (induced through the insertion of a MN), affects pore geometry in the skin and therefore the diffusion of therapeutics. Our models show that considering the insertion-induced skin deformation alone reduces the transdermal permeation of insulin by 25 %, while considering the effect of strain can reduce the overall permeation by a further 45 % over 24 h. Our model also indicates that once the mechanical strain is removed i.e. through removal or dissolution of the array, the permeation through the skin will recover. Furthermore, our results indicate that the delivery of high molecular weight compounds may be most susceptible to strain-induced changes in drug permeation. These findings could have significant implications for the preferred type of microneedle administration when targeting, for example, intradermal or transdermal delivery. STATEMENT OF SIGNIFICANCE: This manuscript presents an advanced computational model of microneedle insertion into human skin. Here, we adopt a multiphysics modelling strategy, where we predict the influence of microneedle insertion on skin deformation and strain and how that influences subsequent therapeutic permeation through the skin. Our model predicts that whether or not the microneedle remains in situ, the resultant change in tissue deformation and strain has a major impact on how quickly the therapeutic diffuses through the skin. This has important implications for transdermal device design, administration strategies and protocols and associated clinical studies, where either intradermal or transdermal therapeutic delivery is being targetted.

Authors

Institutions

Publication Details

Journal
Acta Biomaterialia
Published
2024-12-20
DOI
https://doi.org/10.1016/j.actbio.2024.12.053
Citations
5
Primary Topic
Advancements in Transdermal Drug Delivery
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiphysics modelling of the impact of skin deformation and strain on microneedle-based transdermal therapeutic delivery

Wenting Shu, Eoin D. O’Cearbhaill, Aisling Ní Annaidh, Sean Kilroy
5 citations
Acta Biomaterialia
Advancements in Transdermal Drug Delivery
1.04
article

Multiphysics modelling of the impact of skin deformation and strain on microneedle-based transdermal therapeutic delivery

Wenting Shu, Eoin D. O’Cearbhaill, Aisling Ní Annaidh, Sean Kilroy
article en
5 citations

Abstract

Microneedle patches (MNs) hold enormous potential to facilitate the minimally-invasive delivery of drugs and vaccines transdermally. However, the micro-mechanics of skin deformation significantly influence the permeation of therapeutics through the skin. Previous studies often fail to appreciate the complexities in microneedle-skin mechanical interactions. This may impede the accuracy of MNs pre-clinical assessments. Here, we develop a multiphysics finite element model which simulates the biomechanics of microneedle skin penetration and the subsequent permeation of therapeutics. Employing the aqueous pore path hypothesis, we consider how strain (induced through the insertion of a MN), affects pore geometry in the skin and therefore the diffusion of therapeutics. Our models show that considering the insertion-induced skin deformation alone reduces the transdermal permeation of insulin by 25 %, while considering the effect of strain can reduce the overall permeation by a further 45 % over 24 h. Our model also indicates that once the mechanical strain is removed i.e. through removal or dissolution of the array, the permeation through the skin will recover. Furthermore, our results indicate that the delivery of high molecular weight compounds may be most susceptible to strain-induced changes in drug permeation. These findings could have significant implications for the preferred type of microneedle administration when targeting, for example, intradermal or transdermal delivery. STATEMENT OF SIGNIFICANCE: This manuscript presents an advanced computational model of microneedle insertion into human skin. Here, we adopt a multiphysics modelling strategy, where we predict the influence of microneedle insertion on skin deformation and strain and how that influences subsequent therapeutic permeation through the skin. Our model predicts that whether or not the microneedle remains in situ, the resultant change in tissue deformation and strain has a major impact on how quickly the therapeutic diffuses through the skin. This has important implications for transdermal device design, administration strategies and protocols and associated clinical studies, where either intradermal or transdermal therapeutic delivery is being targetted.

Acta BiomaterialiaVol. 194
University College Dublin (IE)
Science Foundation Ireland, China Scholarship Council, European Regional Development Fund
Zero hunger
Openalex Percentile: Top 26%
Advancements in Transdermal Drug Delivery
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.