Journal Article

Combined Analysis of GAD65, miR-375, and Unmethylated Insulin DISIA Following Islet Transplantation in Patients With T1D

Gillard, Pieter, Gorus, Frans K, Ling, Zhidong, Mirmira, Raghavendra G, Tersey, Sarah A, Keymeulen, Bart, Costa, Olivier R, Roels, Sarah, Pipeieers, Daniel G, de Smet, Dieter, Stange, Geert, Martens, Geert A, Baiti, Eric V

2019

Overview

Aim: Several biomarkers have been proposed to detect pancreatic [beta] cell destruction in vivo but so far have not been compared for sensitivity and significance. Methods: We used islet transplantation as a model to compare plasma concentrations of miR-375, 65-kDa subunit of glutamate decarboxylase (GAD65), and unmethylated insulin DNA, measured at subpicomolar sensitivity, and study their discharge kinetics, power for outcome prediction, and detection of graft loss during follow-up. Results: At 60 minutes after transplantation, GAD65 and miR-375 consistently showed near-equimolar and correlated increases proportional to the number of implanted [beta] cells. GAD65 and miR-375 showed comparable power to predict poor graft outcome at 2 months, with areas under the curve of 0.833 and 0.771, respectively (P = 0.53). Using receiver operating characteristic analysis, we defined likelihood ratios (LRs) for rationally selected result intervals. In GADA-negative recipients (n = 28), GAD65 <4.5 pmol/L (LR=0.15) and >12.2 pmol/L (LR=[infinity]) predicted good and poor outcomes, respectively. miR-375 could be used in all recipients irrespective of GAD65 autoantibody status (n = 46), with levels <1.4 pmol/L (LR = 0.14) or >7.6 pmol/L (LR = 9.53) as dual thresholds. The posttransplant surge of unmethylated insulin DMA was inconsistent and unrelated to outcome. Combined measurement of these three biomarkers was also tested as liquid biopsy for [beta] cell death during 2-month follow-up; incidental surges of GAD65, miR-375, and (un) methylated insulin DMA, alone or combined, were confidently detected but could not be related to outcome. Conclusions: GAD65 and miR-375 performed equally well in quantifying early graft destruction and predicting graft outcome, outperforming unmethylated insulin DNA. (J Clin Endocrinol Metab 104: 451-460, 2019)

• Publisher: Oxford University Press
• Subject: Antibodies / Aprotinin / Autoantibodies / Autoimmunity / Biological markers / Cell death / DNA / EDTA / Genetic research / Glutamate / Glutamate decarboxylase / Health aspects / Identification and classification / Insulin / MicroRNA / Pancreatic beta cell transplantation / Pancreatic beta cells / Patient outcomes / Surgery