Enhanced Prediction of Porcine Islet Yield and Posttransplant Outcome Using a Combination of Quantitative Histomorphometric Parameters and Flow Cytometry

• Main Authors: Sang-Man Jin, Kang Seok Kim, Song-Yi Lee, Chang-Hoon Gong, Su Kyoung Park, Jae Eun Yu, Su-Cheong Yeom, Tai Wook Yoon, Jongwon Ha, Chung-Gyu Park M.D., Ph.D., Sang-Joon Kim
• Format: Article
• Language: English
• Published: SAGE Publishing 2010-03-01
• Series: Cell Transplantation
• Online Access: https://doi.org/10.3727/096368909X481638

Prediction of islet yield and posttransplant outcome is essential for clinical porcine islet xenotransplantation. Although several histomorphometric parameters of biopsied porcine pancreases are predictive of islet yield, their role in the prediction of in vivo islet potency is unknown. We investigated which histomorphometrical parameter best predicts islet yield and function, and determined whether it enhanced the predictive value of in vitro islet function tests for the prediction of posttransplant outcome. We analyzed the histomorphometry of pancreases from which 60 adult pig islet isolations were obtained. Islet function was assessed using the β-cell viability index based on flow cytometry analysis, oxygen consumption rate, ADP/ATP ratio, and/or concurrent transplantation into NOD/SCID mice. Receiver operating characteristic (ROC) analysis revealed that only islet equivalent (IEQ)/cm 2 and the number of islets >200 μm in diameter significantly predicted an islet yield of >2000 IEQ/g ( p < 0.001 for both) and in vivo islet potency ( p = 0.024 and p = 0.019, respectively). Although not predictive of islet yield, a high proportion of large islets (>100 μm in diameter) best predicted diabetes reversal ( p = 0.001). Multiple regression analysis revealed that the β-cell viability index ( p = 0.003) and the proportion of islets >100 μm in diameter ( p = 0.048) independently predicted mean posttransplant blood glucose level (BGL). When BGL was estimated using both these parameters [area under the ROC curve (AUC), 0.868; 95% confidence interval (CI), 0.730-1.006], it predicted posttransplant outcome more accurately than the β-cell viability index alone (AUC, 0.742; 95% CI, 0.544-0.939). In conclusion, we identified the best histomorphometric predictors of islet yield and posttransplant outcome. This further enhanced the predictive value of the flow cytometry analysis. These parameters should be useful for predicting islet yield and in vivo potency before clinical adult porcine islet xenotransplantation.