Pancreatic islet basement membrane loss and remodeling after mouse islet isolation and transplantation: Impact for allograft rejection

The isolation of islets by collagenase digestion can cause damage and impact the efficiency of islet engraftment and function. In this study, we assessed the basement membranes (BMs) of mouse pancreatic islets as a molecular biomarker for islet integrity, damage after isolation, and islet repair in vitro as well as in the absence or presence of an immune response after transplantation. Immunofluorescence staining of BM matrix proteins and the endothelial cell marker platelet endothelial cell adhesion molecule-1 (PECAM-1) was performed on pancreatic islets in situ, isolated islets, islets cultured for 4 days, and islet grafts at 3-10 days posttransplantation. Flow cytometry was used to investigate the expression of BM matrix proteins in isolated islet β-cells. The islet BM, consisting of collagen type IV and components of Engelbreth-Holm-Swarm (EHS) tumor laminin 111, laminin α2, nidogen-2, and perlecan in pancreatic islets in situ, was completely lost during islet isolation. It was not reestablished during culture for 4 days. Peri- and intraislet BM restoration was identified after islet isotransplantation and coincided with the migration pattern of PECAM-1(+) vascular endothelial cells (VECs). After islet allotransplantation, the restoration of VEC-derived peri-islet BMs was initiated but did not lead to the formation of the intraislet vasculature. Instead, an abnormally enlarged peri-islet vasculature developed, coinciding with islet allograft rejection. The islet BM is a sensitive biomarker of islet damage resulting from enzymatic isolation and of islet repair after transplantation. After transplantation, remodeling of both peri- and intraislet BMs restores β-cell-matrix attachment, a recognized requirement for β-cell survival, for isografts but not for allografts. Preventing isolation-induced islet BM damage would be expected to preserve the intrinsic barrier function of islet BMs, thereby influencing both the effector mechanisms required for allograft rejection and the antirejection strategies needed for allograft survival.

Cytomegalovirus infection after liver transplantation in children

Post-liver transplant cytomegalovirus (CMV) infection (seroconversion or virus isolation) and CMV disease (infection plus clinical signs and symptoms) were studied in relation to pretransplant recipient and donor serology, age, nutritional status and the effect of paediatric versus adult (reduced size) grafts. Of 70 children receiving 79 transplants, 26 (37%) had evidence of CMV infection, and eight (11.5%) had evidence of CMV disease, four of whom died. The primary infection rate (where the recipients were CMV negative) was 71% with mortality of 7% with most receiving a CMV-positive graft. The active secondary infection rate (reactivation or reinfection, where the recipients were CMV positive) was 60% with mortality of 12.5%. No significant differences in infection on disease rates were found comparing malnourished versus well-nourished patients, or between those who received whole or reduced-size grafts. The high prevalence of CMV infections supports the view that clinical signs alone are inadequate to direct investigations for CMV. Both primary and active secondary CMV infection can result in serious morbidity and mortality in children receiving liver transplants. These data do not support the strategy of providing immunoprophylaxis to seronegative recipients only, at least in paediatric liver transplantation.

The Queensland liver transplant programme: The first two years

Orthotopic liver transplantation began in Brisbane in January 1985. During the first two years of the programme an assessment committee evaluated 55 patients (38 adults, 17 children). Patients were either accepted for transplantation, rejected as unsuitable or deferred for elective reassessment. All of the 10 adults who were rejected for transplantation because they had 'too advanced' disease died within four months of assessment. Six children who were accepted for transplantation died before a suitable donor liver could be found. In the first two years, 21 orthotopic liver transplantations were performed on 18 patients (adults, 13 patients; children, five patients). Fifteen of 21 grafts were procured from within Queensland. Twelve (67%) patients are alive at three to 23 months and all have been discharged from hospital. Deaths in adults were due to sepsis (three patients), aspiration pneumonitis (one patient), rejection and hepatic artery thrombosis (one patient) and the recurrence of a hepatocellular carcinoma five months after discharge from hospital (one patient). Two patients underwent a second transplantation procedure because of chronic rejection at four months and at 11 months, respectively, after the initial operation. One patient received a second transplant for primary graft failure at four days after the operation. A scoring system which considered the presence of pre-operative patient factors, such as coma, ascites, malnutrition and previous abdominal surgery, partly predicted the operative blood loss and patient survival. In conclusion, orthotopic liver transplantation is being performed in Australia with survival rates that are comparable with those of established overseas units.

Monitoring healing progression and characterizing the mechanical environment in preclinical models for bone tissue engineering

The treatment of large segmental bone defects remains a significant clinical challenge. Due to limitations surrounding the use of bone grafts, tissue-engineered constructs for the repair of large bone defects could offer an alternative. Before translation of any newly developed tissue engineering (TE) approach to the clinic, efficacy of the treatment must be shown in a validated preclinical large animal model. Currently, biomechanical testing, histology, and microcomputed tomography are performed to assess the quality and quantity of the regenerated bone. However, in vivo monitoring of the progression of healing is seldom performed, which could reveal important information regarding time to restoration of mechanical function and acceleration of regeneration. Furthermore, since the mechanical environment is known to influence bone regeneration, and limb loading of the animals can poorly be controlled, characterizing activity and load history could provide the ability to explain variability in the acquired data sets and potentially outliers based on abnormal loading. Many approaches have been devised to monitor the progression of healing and characterize the mechanical environment in fracture healing studies. In this article, we review previous methods and share results of recent work of our group toward developing and implementing a comprehensive biomechanical monitoring system to study bone regeneration in preclinical TE studies.