Physiomimetic Fluidic Culture Platform on Microwell-Patterned Porous Collagen Scaffold for Human Pancreatic Islets.

Pancreatic islet transplantation is one of the clinical options for certain types of diabetes. However, difficulty in maintaining islets prior to transplantation limits the clinical expansion of islet transplantations. Our study introduces a dynamic culture platform developed specifically for primary human islets by mimicking the physiological microenvironment, including tissue fluidics and extracellular matrix support. We engineered the dynamic culture system by incorporating our distinctive microwell-patterned porous collagen scaffolds for loading isolated human islets, enabling vertical medium flow through the scaffolds. The dynamic culture system featured four 12 mm diameter islet culture chambers, each capable of accommodating 500 islet equivalents (IEQ) per chamber. This configuration calculates > five-fold higher seeding density than the conventional islet culture in flasks prior to the clinical transplantations (442 vs 86 IEQ/cm2). We tested our culture platform with three separate batches of human islets isolated from deceased donors for an extended period of 2 weeks, exceeding the limits of conventional culture methods for preserving islet quality. Static cultures served as controls. The computational simulation revealed that the dynamic culture reduced the islet volume exposed to the lethal hypoxia (< 10 mmHg) to ~1/3 of the static culture. Dynamic culture ameliorated the morphological islet degradation in long-term culture and maintained islet viability, with reduced expressions of hypoxia markers. Furthermore, dynamic culture maintained the islet metabolism and insulin-secreting function over static culture in a long-term culture. Collectively, the physiological microenvironment-mimetic culture platform supported the viability and quality of isolated human islets at high-seeding density. Such a platform has a high potential for broad applications in cell therapies and tissue engineering, including extended islet culture prior to clinical islet transplantations and extended culture of stem cell-derived islets for maturation.

Reversal of diabetes by an oral Salmonella-based vaccine in acute and progressive diabetes in NOD mice.

Type 1 diabetes (T1D)-associated hyperglycemia develops, in part, from loss of insulin-secreting beta cells. The degree of glycemic dysregulation and the age at onset of disease can serve as indicators of the aggressiveness of the disease. Tracking blood glucose levels in prediabetic mice may demonstrate the onset of diabetes and, along with animal age, also presage disease severity. In this study, an analysis of blood glucose levels obtained from female NOD mice starting at 4 weeks until diabetes onset was undertaken. New onset diabetic mice were orally vaccinated with a Salmonella-based vaccine towards T1D-associated preproinsulin combined with TGFß and IL10 along with anti-CD3 antibody. Blood glucose levels were obtained before and after development of disease and vaccination. Animals were classified as acute disease if hyperglycemia was confirmed at a young age, while other animals were classified as progressive disease. The effectiveness of the oral T1D vaccine was greater in mice with progressive disease that had less glucose excursion compared to acute disease mice. Overall, the Salmonella-based vaccine reversed disease in 60% of the diabetic mice due, in part, to lessening of islet inflammation, improving residual beta cell health, and promoting tolerance. In summary, the age of disease onset and severity of glucose dysregulation in NOD mice predicted response to vaccine therapy. This suggests a similar disease categorization in the clinic may predict therapeutic response.

Biological hypoxia in pre-transplant human pancreatic islets induces transplant failure in diabetic mice.

Evaluating the quality of isolated human islets before transplantation is crucial for predicting the success in treating Type 1 diabetes. The current gold standard involves time-intensive in vivo transplantation into diabetic immunodeficient mice. Given the susceptibility of isolated islets to hypoxia, we hypothesized that hypoxia present in islets before transplantation could indicate compromised islet quality, potentially leading to unfavorable outcomes. To test this hypothesis, we analyzed expression of 39 hypoxia-related genes in human islets from 85 deceased donors. We correlated gene expression profiles with transplantation outcomes in 327 diabetic mice, each receiving 1200 islet equivalents grafted into the kidney capsule. Transplantation outcome was post-transplant glycemic control based on area under the curve of blood glucose over 4 weeks. In linear regression analysis, DDIT4 (R = 0.4971, P < 0.0001), SLC2A8 (R = 0.3531, P = 0.0009) and HK1 (R = 0.3444, P = 0.0012) had the highest correlation with transplantation outcome. A multiple regression model of 11 genes increased the correlation (R = 0.6117, P < 0.0001). We conclude that assessing pre-transplant hypoxia in human islets via gene expression analysis is a rapid, viable alternative to conventional in vivo assessments. This approach also underscores the importance of mitigating pre-transplant hypoxia in isolated islets to improve the success rate of islet transplantation.

Ubiquitous Luciferase Expression in "Firefly Rats" Does Not Alter the Pancreatic Islet Morphology, Metabolism, and Function.

"Firefly rats" ubiquitously express the luciferase reporter gene under the control of constitutively active ROSA26 promoter in inbred Lewis rats. Due to the minimal immunogenicity of luciferase, wide applications of Firefly rats have been reported in solid organ/cell transplantation studies for in vivo imaging, permitting quantitative and non-invasive tracking of the transplanted graft. ROSA26 is a non-coding gene and generally does not affect the expression of other endogenous genes. However, the effect of ubiquitous luciferase expression on islet morphology and function has not been thoroughly investigated, which is critical for the use of Firefly rats as islet donors in islet transplantation studies. Accordingly, in vivo glucose homeostasis (i.e., islet function in the native pancreas) was compared between age-matched luciferase-expressing Firefly rats and non-luciferase-expressing rats. In vivo assessments demonstrated no statistical difference between these rats in non-fasting blood glucose levels, intraperitoneal glucose tolerance tests, and glucose-stimulated serum C-peptide levels. Furthermore, islets were isolated from both rats to compare the morphology, function, and metabolism in vitro. Isolated islets from both rats exhibited similar in vitro characteristics in post-isolation islet yield, islet size, beta cell populations, insulin content per islet, oxygen consumption rate, and glucose-stimulated insulin secretion. In conclusion, ubiquitous luciferase expression in Firefly rats does not affect their islet morphology, metabolism, and function; this finding is critical and enables the use of isolated islets from Firefly rats for the dual assessment of islet graft function and bioluminescence imaging of islet grafts.

Changes in the gut microbiota of NOD mice in response to an oral Salmonella-based vaccine against type 1 diabetes.

We developed an oral Salmonella-based vaccine that prevents and reverses diabetes in non-obese diabetic (NOD) mice. Related to this, the gastrointestinal tract harbors a complex dynamic population of microorganisms, the gut microbiome, that influences host homeostasis and metabolism. Changes in the gut microbiome are associated with insulin dysfunction and type 1 diabetes (T1D). Oral administration of diabetic autoantigens as a vaccine can restore immune balance. However, it was not known if a Salmonella-based vaccine would impact the gut microbiome. We administered a Salmonella-based vaccine to prediabetic NOD mice. Changes in the gut microbiota and associated metabolome were assessed using next-generation sequencing and gas chromatography-mass spectrometry (GC-MS). The Salmonella-based vaccine did not cause significant changes in the gut microbiota composition immediately after vaccination although at 30 days post-vaccination changes were seen. Additionally, no changes were noted in the fecal mycobiome between vaccine- and control/vehicle-treated mice. Significant changes in metabolic pathways related to inflammation and proliferation were found after vaccine administration. The results from this study suggest that an oral Salmonella-based vaccine alters the gut microbiome and metabolome towards a more tolerant composition. These results support the use of orally administered Salmonella-based vaccines that induced tolerance after administration.

A Multiparametric Assessment of Human Islets Predicts Transplant Outcomes in Diabetic Mice.

Prior to transplantation into individuals with type 1 diabetes, in vitro assays are used to evaluate the quality, function and survival of isolated human islets. In addition to the assessments of these parameters in islet, they can be evaluated by multiparametric morphological scoring (0-10 points) and grading (A, B, C, D, and F) based on islet characteristics (shape, border, integrity, single cells, and diameter). However, correlation between the multiparametric assessment and transplantation outcome has not been fully elucidated. In this study, 55 human islet isolations were scored using this multiparametric assessment. The results were correlated with outcomes after transplantation into immunodeficient diabetic mice. In addition, the multiparametric assessment was compared with oxygen consumption rate of isolated islets as a potential prediction factor for successful transplantations. All islet batches were assessed and found to score: 9 points (n = 18, Grade A), 8 points (n = 19, Grade B), and 7 points (n = 18, Grade B). Islets that scored 9 (Grade A), scored 8 (Grade B) and scored 7 (Grade B) were transplanted into NOD/SCID mice and reversed diabetes in 81.2%, 59.4%, and 33.3% of animals, respectively (P < 0.0001). Islet scoring and grading correlated well with glycemic control post-transplantation (P < 0.0001) and reversal rate of diabetes (P < 0.05). Notably, islet scoring and grading showed stronger correlation with transplantation outcome compared to oxygen consumption rate. Taken together, a multiparametric assessment of isolated human islets was highly predictive of transplantation outcome in diabetic mice.

Inflammatory biomarkers in the blood and pancreatic tissue of organ donors that predict human islet isolation success and function.

The pancreas of brain-dead donors is the primary source of islets for transplantation. However, brain death mediates systemic inflammation, which may affect the quantity and quality of isolated islets. Our aim was to identify inflammatory biomarkers in donor blood and/or pancreatic tissue capable of predicting islet isolation success. Blood samples were collected from 21 pancreas donors and 14 healthy volunteers. Pancreatic tissue samples were also collected from the corresponding donor during organ procurement. Six serum cytokines were measured by a fluorescent bead-based immunoassay, and the expression of fifteen inflammatory target genes was quantified by quantitative reverse transcription polymerase chain reaction (RT-qPCR). There was no correlation between serum inflammatory cytokines and mRNA expression of the corresponding genes in peripheral blood mononuclear cells (PBMCs) or pancreatic tissue. The IL6 expression in pancreatic tissue correlated negatively with post-isolation islet yield. Islets isolated from donors highly expressing IFNG in PBMCs and MAC1 in pancreatic tissue functioned poorly in vivo when transplanted in diabetic NODscid mice. Furthermore, the increased MAC1 in pancreatic tissue was positively correlated with donor hospitalization time. Brain death duration positively correlated with higher expression of IL1B in PBMCs and TNF in both PBMCs and pancreatic tissue but failed to show a significant correlation with islet yield and in vivo function. The study indicates that the increased inflammatory genes in donor pancreatic tissues may be considered as biomarkers associated with poor islet isolation outcome.

Quantifying Insulin Therapy Requirements to Preserve Islet Graft Function Following Islet Transplantation.

A mathematical nonlinear regression model of several parameters (baseline insulin intake, posttransplant 2-h postprandial blood glucose, and stimulated C-peptide) from type 1 diabetics with HbA1c <6.5% who do not require insulin therapy and have no hypoglycemic instances was developed for accurately predicting supplemental insulin requirements in the posttransplant period. An insulin deficit threshold of 0.018 U/kg/day was defined as the average first-year calculated insulin deficit (CID), above which HbA1c rose to >6.5% during year 2 of the posttransplant period. When insulin-untreated subjects were divided into two groups based on whether the average CID was smaller (group I) or greater (group II) than the insulin deficit threshold, HbA1c was found to be similar in the two groups in year 1, but increased significantly in group II to above 6.5% (with mean glucose of 121.9 mg/dl) but remained below 6.5% in group I subjects (with mean glucose of 108.7 mg/dl) in year 2 of the follow-up period. The greater insulin deficit in group II was also associated with a higher susceptibility to hyperglycemia during periods of low serum Rapamune and Prograf levels (combined levels below 11.2 and 4.7 ng/ml, respectively). Although the differences between predicted insulin requirement (PIR) and actual empirical insulin intake in the insulin-treated subjects were generally small, they were nonetheless sufficient to identify over- and underinsulinization at each follow-up visit for all subjects (n = 14 subjects, 135 observations). The newly developed model can effectively identify underinsulinized islet transplant recipients at risk for graft dysfunction due to inadequate supplemental insulin intake or those potentially susceptible to graft function loss due to inadequate immunosuppression. While less common following islet cell therapy, the model can also identify overinsulinized subjects who may be at risk for hypoglycemia.

Quantitative assessment of ß-cell apoptosis and cell composition of isolated, undisrupted human islets by laser scanning cytometry.

BACKGROUND: Assays for assessing human islet cell quality, which provide results before transplantation, would be beneficial to improve the outcomes for islet transplantation therapy. Parameters such as percent ß-cell apoptosis and cell composition are found to vary markedly between different islet preparations and may serve as markers of islet quality. We have developed fluorescence-based assays using laser scanning cytometry for assessing ß-cell apoptosis and islet cell composition on serial sections of intact isolated islets. METHODS: Isolated human islets were fixed in formalin and embedded in paraffin. Serial sections were immunostained for the pancreatic hormones and acinar and ductal cell markers. DNA fragmentation was used to label apoptotic cells. Stained cells were quantified using an iCys laser scanning cytometer. RESULTS: Islet preparations from 102 human pancreatic islet isolations were analyzed. For the whole set of islet preparations, we found a mean islet cell composition of 54.5%±1.2% insulin-positive, 33.9%±1.2% glucagon, 12.1%±0.7% somatostatin, and 1.5%±0.2% pancreatic polypeptide-positive cells. The apoptotic ß cells were 2.85%±0.4% with a range of 0.27% to 18.3%. The percentage of apoptotic ß cells correlated well (P<0.0001, n=59) with results obtained in vivo by transplantation of the corresponding islets in diabetic NODscid mice. CONCLUSIONS: The analysis of whole, nondissociated islets for cell composition and ß-cell apoptosis using laser scanning cytometry gives reliable and reproducible results and could be performed both before islet transplantation and on preserved cell blocks at any time in future. Thus, they can be a powerful tool for islet quality assessment.

PFA: program for the quantitative assessment of cell metabolism by spectral data analysis.

Assessment of mitochondrial oxidative metabolism has wide-ranging importance, from pharmacokinetic analysis to studies in cell viability and apoptosis. Here we present the Perfusion File Analyzer (PFA) application for the real-time analysis of spectral data to measure cytochrome c reduction, cytochrome a3 reduction, and other parameters important to cellular metabolism, which are collected during tissue perfusion experiments. Our current efforts are focused on quantitating changes in mitochondrial function by normalizing baseline drift of spectral data while addressing two major challenges: (1) a lack of real-time feedback from the system when aiming is compromised, and (2) an inability to adjust calculated data in the event of spectral shift. PFA has been developed to address these issues, and is currently used for quality assessment of human islets prior to clinical transplantation.

Generation of human islets through expansion and differentiation of non-islet pancreatic cells discarded (pancreatic discard) after islet isolation.

OBJECTIVES: Islet transplantation is hampered by the shortage of donor tissues. Our objective was to generate islet-like cell clusters (ICCs) from cultures of non-islet pancreatic cells. METHODS: The starting cultured cells came from the non-islet fractions of human pancreases after enzymatic digestion and purification for the purpose of islet isolation. Initially, these cells expanded in monolayer cultures and became confluent on collagen-coated flasks. After trypsination and suspension of these cells in a defined islet differentiation medium, the cells aggregated to form ICCs. RESULTS: The initial cell population consisted of less than 1% of insulin-positive cells, 44% amylase-positive cells, and 41% cytokeratin (CK) 7-positive, or CK19 cells, but PDX-1 cells were absent. Cells from later stages of the monolayer cultures showed signs of dedifferentiation/transdifferentiation. At the time of harvesting, more than 90% of the cells were positive for CK 7/19 and PDX-1, but less than 1% of the cells were insulin-positive. After aggregation, the ICCs appeared redifferentiated, and contained glucose-responsive, insulin-secreting cells with an insulin content measuring 20% of that found in freshly isolated islets isolated from the same pancreas. ICCs transplanted into athymic mice and removed after 4 months did acquire the morphology of mature islets, indicating further maturation of the ICCs in vivo after transplantation. Human C-peptide was detected in recipient animal sera. CONCLUSION: Using the specified culture methods, non-islet pancreas cells can generate cell clusters resembling islets. These ICCs, obtained from fractions of the pancreas that are otherwise discarded, continue to differentiate after transplantation to become mature islets.