Enhanced prediction of porcine islet yield and posttransplant outcome using a combination of quantitative histomorphometric parameters and flow cytometry.
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 beta-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 microm 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 microm in diameter) best predicted diabetes reversal (p = 0.001). Multiple regression analysis revealed that the beta-cell viability index (p = 0.003) and the proportion of islets >100 microm 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 beta-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.
Jin
Sang-Man
SM
Xenotransplantation Research Center, Seoul National University Hospital, Seoul, Republic of Korea.
Kim
Kang Seok
KS
Lee
Song-Yi
SY
Gong
Chang-Hoon
CH
Park
Su Kyoung
SK
Yu
Jae Eun
JE
Yeom
Su-Cheong
SC
Yoon
Tai Wook
TW
Ha
Jongwon
J
Park
Chung-Gyu
CG
Kim
Sang-Joon
SJ
D000818:Animals; D030801:Animals, Genetically Modified; D001786:Blood Glucose / Q000032:analysis; D002452:Cell Count / Q000379:methods / Q000592:standards; D002469:Cell Separation / Q000379:methods* / Q000592:standards; D002478:Cells, Cultured; D003920:Diabetes Mellitus / Q000601:surgery; D005260:Female; D005434:Flow Cytometry / Q000379:methods* / Q000592:standards; D050417:Insulin-Secreting Cells / Q000166:cytology* / Q000637:transplantation; D016381:Islets of Langerhans Transplantation / Q000379:methods* / Q000592:standards; D008297:Male; D051379:Mice; D016688:Mice, Inbred NOD; D016513:Mice, SCID; D011183:Postoperative Complications / Q000097:blood / Q000473:pathology / Q000517:prevention & control; D011237:Predictive Value of Tests; D013552:Swine; D013556:Swine, Miniature; D020858:Tissue and Organ Harvesting / Q000379:methods* / Q000592:standards; D014183:Transplantation, Heterologous / Q000379:methods* / Q000592:standards
D001786:Blood Glucose