Combining Donor Characteristics with Immunohistological Data Improves the Prediction of Islet Isolation Success

Author:

Berkova Zuzana1ORCID,Saudek Frantisek2ORCID,Girman Peter2,Zacharovova Klara1,Kriz Jan2,Fabryova Eva1,Leontovyc Ivan1,Koblas Tomas1,Kosinova Lucie1,Neskudla Tomas2,Vavrova Ema2,Habart David2,Loukotova Sarka1,Zahradnicka Martina2,Lipar Kvetoslav3,Voska Ludek4,Skibova Jelena5

Affiliation:

1. Laboratory of Pancreatic Islets, Institute for Clinical and Experimental Medicine, Prague, Czech Republic

2. Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic

3. Transplant Surgery Department, Transplant Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic

4. Department of Clinical and Transplant Pathology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic

5. Department of Medical Statistics, Institute for Clinical and Experimental Medicine, Prague, Czech Republic

Abstract

Variability of pancreatic donors may significantly impact the success of islet isolation. The aim of this study was to evaluate donor factors associated with isolation failure and to investigate whether immunohistology could contribute to organ selection. Donor characteristics were evaluated for both successful (n=61) and failed (n=98) islet isolations. Samples of donor pancreatic tissue (n=78) were taken for immunohistochemical examination. Islet isolations with 250000 islet equivalents were considered successful. We confirmed that BMI of less than 25 kg/m2(P<0.001), cold ischemia time more than 8 hours (P<0.01), hospitalization longer than 96 hours (P<0.05), higher catecholamine doses (P<0.05), and edematous pancreases (P<0.01) all unfavorably affected isolation outcome. Subsequent immunohistochemical examination of donor pancreases confirmed significant differences in insulin-positive areas (P<0.001). ROC analyses then established that the insulin-positive area in the pancreas could be used to predict the likely success of islet isolation (P<0.001). At the optimal cutoff point (>1.02%), sensitivity and specificity were 89% and 76%, respectively. To conclude, while the insulin-positive area, determined preislet isolation, as a single variable, is sufficient to predict isolation outcome and helps to improve the success of this procedure, its combination with the established donor scoring system might further improve organ selection.

Funder

Institute for Clinical and Experimental Medicine (IKEM)

Publisher

Hindawi Limited

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

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