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A Predictive Assay for Success Rates of Islet Transplantation to Treat Type-1 Diabetes Tracy Fuad 2007
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Diabetes Institute of Immunology and Transplantation
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Objective Engineer an assay to improve success rates of islet transplantation in type-1 diabetics –As a tool to match patients to donors –As an in vitro monitoring tool
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Type-1 Diabetes An auto-immune disease Characterized by loss of pancreatic islet cell function
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Type-1 Diabetes An auto-immune disease Characterized by loss of pancreatic islet cell function http://www.diabetesresearch.org Islet Cells
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Islet Transplantation http://www.rsna.org/rsna/media/
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Immune-Mediated Graft Rejection Patient’s immune system recognizes islets as foreign Immune system attacks and destroys transplanted tissues
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HLA-Matching Human leukocyte-antigen typing (HLA- typing) matches tissues to minimize the immune response in a transplant Immune response can be also be measured by cytokine production
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ELISPOT Assay Enzyme-linked immunospot assay Quantifies the cytokine production of lymphocytes (white blood cells) TNF is an inflammatory cytokine that is produced during transplantation and rejection
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Goals Optimize ELISPOT assay to test TNF production in donor-stimulated patient cells Use the modified ELISPOT protocol to look for a correlation between failed transplants and elevated TNF production
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Previous Studies Studies by Augustine et al. and Bellisola et al. have correlated heightened IFN production in an ELISPOT assay to increased rates of renal transplant rejection
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Hypothesis Because IFN is an inflammatory cytokine often produced in conjunction with TNF , I hypothesized that heightened TNF production would correlate with failed islet transplants
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Methods: ELISPOT Assay Uses a 96-well plate with nitrocellulose membranes Quantifies cytokines by capturing them locally and visualizing each cytokine
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ELISPOT well
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Capture antibody
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Blocked with protein serum
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Leukocytes or splenocytes are added
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Cytokines Released
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Detection Antibody
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Strepdavidan-HRP, a colored substrate
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Precipitation reaction
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Reading the ELISPOT Plate http://www.biosciencetechnology.com/images
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Reading the ELISPOT Plate www.elispot.com/index.html?elispot_reader/software.html
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ELISPOT Modification Increased the protein concentration of blocking buffers Reduced the number of cells per well Decreased secondary detection antibody incubation time Added more washes between steps
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Cell-to-Cell ELISPOT Used to find the optimal donor-to-patient cell-to- cell ratio RowDescription, Columns 1-3Description, Columns 4-6 AMedia controlResponder cells alone BResponder cells (R) + PHAResponder cells (R) + Con-A CMatched stimulator (S1)Mismatched stimulator (S2) D9:1 (S1) to (R) cell to cell ratio9:1 (S2) to (R) cell to cell ratio E3:1 (S1) to (R) cell to cell ratio3:1 (S2) to (R) cell to cell ratio F1:1 (S1) to (R) cell to cell ratio1:1 (S2) to (R) cell to cell ratio G1:3 (S1) to (R) cell to cell ratio1:3 (S2) to (R) cell to cell ratio H1:9 (S1) to (R) cell to cell ratio1:9 (S2) to (R) cell to cell ratio
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TNF Allo-Titration ELISPOT
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Donor-to-Patient Induced Immune Response Islet transplant patient was selected –First transplant failed –Second transplant was successful Patient cells stimulated with cells from each donor
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Donor-to-Patient Induced Immune Response Modified ELISPOT protocol used with the following plate map: RowDescriptionCells/well APatient Cells Alone90,000 BPatient cells with PHA90,000 CPatient cells with Con-A90,000 DDonor-Transplant 1270,000 EDonor-Transplant 2270,000 FPatient (P) + Donor 1 (D1)90,000 (P) + 270,000 (D1) GPatient (P) + Donor 2 (D2)90,000 (P) + 270,000 (D2) HPatient (P) + 3 rd party (3P)90,000 (P) + 270,000 (3P)
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TNF Clinical Patient ELISPOT
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Positive Controls
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TNF Clinical Patient ELISPOT Positive Controls
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TNF Clinical Patient ELISPOT Negative Controls
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TNF Clinical Patient ELISPOT Failed Transplant Successful transplant
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Failed Transplant
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Successful Transplant
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p=0.0000892
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Conclusion TNF ELISPOT assay is an effective means to measure immune response in transplantation patients Heightened TNF production has a statistically significant correlation to failed transplantation
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Applications A tool to match patients to donors An in vitro monitoring assay –Identify immunosuppression needs of individual patients –Reduce the use of immunosuppresant medications
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Future Studies Test samples from additional islet transplant patients Test patient samples from different points in transplantation timeline
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Acknowledgements The University of Minnesota and Dr. Bernard Hering Dr. Pratima Pakala, Kelly Hire, Adam Nettles, and Olivia Thai Ms. Fruen and the Science Research Class
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A Predictive Assay for Success Rates of Islet Transplantation to Treat Type-1 Diabetes Tracy Fuad 2007
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