Trisected pancreas model for testing tissue dissociation enzyme combinations: a novel methodology for improving human islet yield for clinical islet transplantation.

PURPOSE

Human islet isolation requires a defined collagenase-protease enzyme combination for obtaining a successful islet yield. While different islet laboratories use different enzyme combinations, a systematic methodology to identify optimal enzyme combinations and their concentrations within a single donor pancreas has not been tested. In this study, we designed a trisected pancreas model to test efficacy of three clinical grade enzyme blends (VitaCyte, Roche, SERVA) within a single pancreas.

METHODS

Islet isolations were performed using brain-dead donor pancreases ( = 15) applying the enzyme-related design of experiments (DOEs) and the trisected model approach. After trimming, split each pancreas into three individual lobes (head, body, tail). As per the DOEs, the lobes were altered between different experiments, to minimize anatomical bias. Islets isolated from each lobe (27 lobes totally) were subjected to functional assessments. Insulin staining and islet area fraction were determined for tissue sections obtained from each lobe.

RESULTS

Utilizing the trisected model, we identified that the collagenase dose from three different vendors did not affect the pancreas digestion and islet yield, but islet morphology after isolation with the neutral protease and BP-protease was better than thermolysin. In addition, the head lobe yielded a lower islet mass and higher tissue volume compared to other two lobes, irrespective of enzyme combination used.

CONCLUSIONS

This study demonstrates that the trisected model is a promising methodology in assessing donor and isolation associated parameters. Based on this study, we conclude that the donor characteristics and an optimal enzyme dose play a critical role in achieving higher islet yields.