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IFN- gamma and tumor necrosis factor- alpha . Cytotoxicity to murine islets of Langerhans.
Abstract
We have previously reported that the cytokines IFN-gamma and TNF-alpha each upregulate the expression of class I MHC proteins and, in combination, induce the expression of class II MHC proteins on pancreatic islet cells. IFN-gamma and TNF-alpha are therefore implicated in the immunologic destruction of beta-cells in insulin-dependent diabetes mellitus. The objective of the present study was to define the effects of IFN-gamma and TNF-alpha on the function and viability of murine pancreatic islet beta-cells in vitro. Exposure of islets for 3 days to 200 U/ml of either IFN-gamma or TNF-alpha did not affect glucose-stimulated insulin release, but at higher concentrations (2000 U/ml) of either cytokine there was significant inhibition of glucose-stimulated insulin release. In combination, IFN-gamma and TNF-alpha each at 200 U/ml caused significant inhibition of glucose-stimulated insulin release; at 2000 U/ml glucose-stimulated insulin release was abolished. In time-course experiments, glucose-stimulated insulin release from islets exposed to IFN-gamma and TNF-alpha each at 1000 U/ml was significantly increased at 4-h (twofold increase compared with control islets), decreased back to control levels at 18 h, significantly inhibited by 24 h (threefold decrease compared with control islets), and completely abolished by 48 h. The progressive impairment of beta-cell function mediated by IFN-gamma plus TNF-alpha was associated with morphologic derangement of the islets that were almost totally disintegrated by day 6 of exposure to the cytokines. At day 6, insulin content of the islets was significantly reduced by exposure to TNF-alpha but not IFN-gamma. The combination of IFN-gamma and TNF-alpha resulted in a further dose-dependent depletion in insulin content compared with TNF-alpha alone. The synergistic functional and cytotoxic effects of IFN-gamma and TNF-alpha are consistent with a direct role for these cytokines in the destruction of beta-cells in insulin-dependent diabetes.
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“The proinflammatory cytokines, such as interleukin-1 beta (IL-1β), interferon gamma (IFN-γ), and tumor necrosis factor alpha (TNF-α), inhibit glucose-stimulated insulin secretion and proliferation of beta-cells [40–42].”
From Anti-Inflammatory Effects of GLP-1-Based Therapies beyond Glucose Control (2016) · cites this paper as [40]
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Metadata
- Authors
- Campbell, I. L., Iscaro, A., & Harrison, L. C.
- Affiliations
- The Royal Melbourne Hospital (AU)
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 1988-10-01
- Volume
- 141
- Issue
- 7
- Pages
- 2325-2329
- ISSN
- 0022-1767 (ISSN-L)
- 1550-6606
- OpenAlex
- W1565885233
- Cited by
- 233
- References
- 0
- Citations by year
- 2022: 4 · 2021: 2 · 2019: 2 · 2017: 2 · 2016: 3 · 2015: 1 · 2014: 1 · 2013: 3 · 2012: 2
- FWCI
- 20.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Immunology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Endoplasmic Reticulum Stress and Disease
- Keywords
- interferon-gamma, TNF-α, pancreatic islets, beta-cell cytotoxicity, glucose-stimulated insulin secretion, type 1 diabetes, beta cell destruction, cytokine synergy, islet morphology, insulin content
- MeSH terms
- Animals, Cells, Cultured, Drug Combinations, Glucose, Insulin, Interferon-gamma, Islets of Langerhans, Kinetics, Tumor Necrosis Factor-alpha, Mice
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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