@article{a766757591fb48da8b1c9f169f8585b6,
title = "A Predictive Oxygen Durability Model to Analyze Oxygen Consumption of Insulin Producing Cells Encapsulated Within a Highly Oxygenated Hydrogel",
abstract = "Cell transplantation aims to regenerate damaged tissues and cure currently incurable diseases, such as Type 1 diabetes. Post-transplantation cell survival is highly limited by the lack of suitable support matrix (anoikis) and insufficient oxygen supply (hypoxia), which is aggravated when using macroencapsulation devices. Graft failure can be overcome by encapsulation in extracellular matrix (ECM)-based hydrogels with high oxygen capacity. Estimation of the oxygen durability in these systems is critical for the design of hydrogel loaded macroencapsulation devices aimed to increase graft survival. In this study, a novel hyaluronic acid/perfluorocarbon biomaterial (Oxygel) is formulated, oxygenated, and characterized. Oxygel exhibits shear thinning and self-healing properties while it can carry high oxygen payloads and slowly release them for 90 h, exhibiting a 14.5 times smaller oxygen diffusivity than PBS. In parallel, a model able to predict the oxygen durability within Oxygel upon cell encapsulation is developed and experimentally validated in vitro. Correlations between model estimations and experimental results are found, demonstrating the validity of the model to analyze oxygen durability. The application of this mathematical model to oxygenated cell scaffolds (such as Oxygel) holds great promise to improve cell transplantation success.",
keywords = "biomaterials, cell transplantation, hydrogels, oxygen consumption, oxygen delivery, oxygen durability, perfluorocarbon",
author = "Domingo-Lopez, {Daniel A.} and Levey, {Ruth E.} and Benjamin Brennan and Oliver Carroll and Gale, {Sarah E.} and Millman, {Jeffrey R.} and Liam McDonough and Kelly, {Helena M.} and William Ronan and Duffy, {Garry P.}",
note = "Funding Information: The authors would like to thank Dr. Oliver Carrol and C{\'U}RAM institute (NUIG) for assistance with the oxygen consumption rate measurements. The authors would also like to thank the chief technical officer at NUIG, Mark Canney, for his assistance with the oxygenation experiments. The authors would like to acknowledge the support of the Centre of Microscopy and Imaging at NUIG. This work was supported by the DELIVER project that received funding from the European Union's Horizon 2020 Marie Sklodowska-Curie Actions programme under grant agreement number 812865. The authors would like to thank the DRIVE project that received funding from the European Union's Horizon 2020 Marie Sklodowska-Curie Actions programme under grant agreement number 645991. The PSC work was supported by the National Institutes of Health (R01DK114233) and JDRF (5-CDA-2017-391-A-N). Further support for the Seahorse analysis of PSC-β cells was provided by the Washington University Diabetes Research Center (P30DK020579). Open access funding provided by IReL. Funding Information: The authors would like to thank Dr. Oliver Carrol and C{\'U}RAM institute (NUIG) for assistance with the oxygen consumption rate measurements. The authors would also like to thank the chief technical officer at NUIG, Mark Canney, for his assistance with the oxygenation experiments. The authors would like to acknowledge the support of the Centre of Microscopy and Imaging at NUIG. This work was supported by the DELIVER project that received funding from the European Union's Horizon 2020 Marie Sklodowska‐Curie Actions programme under grant agreement number 812865. The authors would like to thank the DRIVE project that received funding from the European Union's Horizon 2020 Marie Sklodowska‐Curie Actions programme under grant agreement number 645991. The PSC work was supported by the National Institutes of Health (R01DK114233) and JDRF (5‐CDA‐2017‐391‐A‐N). Further support for the Seahorse analysis of PSC‐β cells was provided by the Washington University Diabetes Research Center (P30DK020579). Publisher Copyright: {\textcopyright} 2022 The Authors. Advanced Materials Technologies published by Wiley-VCH GmbH.",
year = "2023",
month = jan,
day = "10",
doi = "10.1002/admt.202200643",
language = "English",
volume = "8",
journal = "Advanced Materials Technologies",
issn = "2365-709X",
number = "1",
}