Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/139781
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Type: | Journal article |
Title: | Pancreatic Islet Viability Assessment Using Hyperspectral Imaging of Autofluorescence |
Author: | Campbell, J.M. Walters, S.N. Habibalahi, A. Mahbub, S.B. Anwer, A.G. Handley, S. Grey, S.T. Goldys, E.M. |
Citation: | Cells, 2023; 12(18):1-19 |
Publisher: | MDPI AG |
Issue Date: | 2023 |
ISSN: | 2073-4409 2073-4409 |
Statement of Responsibility: | Jared M. Campbell, Stacey N. Walters, Abbas Habibalahi, Saabah B. Mahbub, Ayad G. Anwer, Shannon Handley, Shane T. Grey, and Ewa M. Goldys |
Abstract: | Islets prepared for transplantation into type 1 diabetes patients are exposed to compromising intrinsic and extrinsic factors that contribute to early graft failure, necessitating repeated islet infusions for clinical insulin independence. A lack of reliable pre-transplant measures to determine islet viability severely limits the success of islet transplantation and will limit future beta cell replacement strategies. We applied hyperspectral fluorescent microscopy to determine whether we could non-invasively detect islet damage induced by oxidative stress, hypoxia, cytokine injury, and warm ischaemia, and so predict transplant outcomes in a mouse model. In assessing islet spectral signals for NAD(P)H, flavins, collagen-I, and cytochrome-C in intact islets, we distinguished islets compromised by oxidative stress (ROS) (AUC = 1.00), hypoxia (AUC = 0.69), cytokine exposure (AUC = 0.94), and warm ischaemia (AUC = 0.94) compared to islets harvested from pristine anaesthetised heart-beating mouse donors. Significantly, with unsupervised assessment we defined an autofluorescent score for ischaemic islets that accurately predicted the restoration of glucose control in diabetic recipients following transplantation. Similar results were obtained for islet single cell suspensions, suggesting translational utility in the context of emerging beta cell replacement strategies. These data show that the pre-transplant hyperspectral imaging of islet autofluorescence has promise for predicting islet viability and transplant success. |
Keywords: | islet; hyperspectral; multispectral; autofluorescence; viability; transplantation |
Rights: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
DOI: | 10.3390/cells12182302 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170101863 http://purl.org/au-research/grants/arc/CE140100003 http://purl.org/au-research/grants/nhmrc/GNT1130222 http://purl.org/au-research/grants/nhmrc/GNT1146493 http://purl.org/au-research/grants/nhmrc/GNT1189235 http://purl.org/au-research/grants/nhmrc/GNT1140691 |
Published version: | http://dx.doi.org/10.3390/cells12182302 |
Appears in Collections: | Public Health publications |
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hdl_139781.pdf | Published version | 13.97 MB | Adobe PDF | View/Open |
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