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Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices

Delivering a clinically impactful cell number is a major design challenge for cell macroencapsulation devices for Type 1 diabetes. It is important to understand the transplant site anatomy to design a device that is practical and that can achieve a sufficient cell dose. We identify the posterior rec...

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Autores principales: McDermott, Barry, Robinson, Scott, Holcombe, Sven, Levey, Ruth E., Dockery, Peter, Johnson, Paul, Wang, Stewart, Dolan, Eimear B., Duffy, Garry P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692035/
https://www.ncbi.nlm.nih.gov/pubmed/34932928
http://dx.doi.org/10.1098/rsif.2021.0673
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author McDermott, Barry
Robinson, Scott
Holcombe, Sven
Levey, Ruth E.
Dockery, Peter
Johnson, Paul
Wang, Stewart
Dolan, Eimear B.
Duffy, Garry P.
author_facet McDermott, Barry
Robinson, Scott
Holcombe, Sven
Levey, Ruth E.
Dockery, Peter
Johnson, Paul
Wang, Stewart
Dolan, Eimear B.
Duffy, Garry P.
author_sort McDermott, Barry
collection PubMed
description Delivering a clinically impactful cell number is a major design challenge for cell macroencapsulation devices for Type 1 diabetes. It is important to understand the transplant site anatomy to design a device that is practical and that can achieve a sufficient cell dose. We identify the posterior rectus sheath plane as a potential implant site as it is easily accessible, can facilitate longitudinal monitoring of transplants, and can provide nutritive support for cell survival. We have investigated this space using morphomics across a representative patient cohort (642 participants) and have analysed the data in terms of gender, age and BMI. We used a shape optimization process to maximize the volume and identified that elliptical devices achieve a clinically impactful cell dose while meeting device manufacture and delivery requirements. This morphomics framework has the potential to significantly influence the design of future macroencapsulation devices to better suit the needs of patients.
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spelling pubmed-86920352021-12-22 Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices McDermott, Barry Robinson, Scott Holcombe, Sven Levey, Ruth E. Dockery, Peter Johnson, Paul Wang, Stewart Dolan, Eimear B. Duffy, Garry P. J R Soc Interface Life Sciences–Engineering interface Delivering a clinically impactful cell number is a major design challenge for cell macroencapsulation devices for Type 1 diabetes. It is important to understand the transplant site anatomy to design a device that is practical and that can achieve a sufficient cell dose. We identify the posterior rectus sheath plane as a potential implant site as it is easily accessible, can facilitate longitudinal monitoring of transplants, and can provide nutritive support for cell survival. We have investigated this space using morphomics across a representative patient cohort (642 participants) and have analysed the data in terms of gender, age and BMI. We used a shape optimization process to maximize the volume and identified that elliptical devices achieve a clinically impactful cell dose while meeting device manufacture and delivery requirements. This morphomics framework has the potential to significantly influence the design of future macroencapsulation devices to better suit the needs of patients. The Royal Society 2021-12-22 /pmc/articles/PMC8692035/ /pubmed/34932928 http://dx.doi.org/10.1098/rsif.2021.0673 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society 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, provided the original author and source are credited.
spellingShingle Life Sciences–Engineering interface
McDermott, Barry
Robinson, Scott
Holcombe, Sven
Levey, Ruth E.
Dockery, Peter
Johnson, Paul
Wang, Stewart
Dolan, Eimear B.
Duffy, Garry P.
Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
title Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
title_full Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
title_fullStr Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
title_full_unstemmed Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
title_short Developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
title_sort developing a morphomics framework to optimize implant site-specific design parameters for islet macroencapsulation devices
topic Life Sciences–Engineering interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692035/
https://www.ncbi.nlm.nih.gov/pubmed/34932928
http://dx.doi.org/10.1098/rsif.2021.0673
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