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Usage Information

MDA5-dependent responses contribute to autoimmune diabetes progression and hindrance
Samuel I. Blum, … , Yi-Guang Chen, Hubert M. Tse
Samuel I. Blum, … , Yi-Guang Chen, Hubert M. Tse
Published December 13, 2022
Citation Information: JCI Insight. 2023;8(2):e157929. https://doi.org/10.1172/jci.insight.157929.
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Research Article Virology

MDA5-dependent responses contribute to autoimmune diabetes progression and hindrance

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Abstract

Type 1 diabetes (T1D) is an autoimmune disease resulting in pancreatic β cell destruction. Coxsackievirus B3 (CVB3) infection and melanoma differentiation-associated protein 5–dependent (MDA5-dependent) antiviral responses are linked with T1D development. Mutations within IFIH1, coding for MDA5, are correlated with T1D susceptibility, but how these mutations contribute to T1D remains unclear. Utilizing nonobese diabetic (NOD) mice lacking Ifih1 expression (KO) or containing an in-frame deletion within the ATPase site of the helicase 1 domain of MDA5 (ΔHel1), we tested the hypothesis that partial or complete loss-of-function mutations in MDA5 would delay T1D by impairing proinflammatory pancreatic macrophage and T cell responses. Spontaneous T1D developed in female NOD and KO mice similarly, but was significantly delayed in ΔHel1 mice, which may be partly due to a concomitant increase in myeloid-derived suppressor cells. Interestingly, KO male mice had increased spontaneous T1D compared with NOD mice. Whereas NOD and KO mice developed CVB3-accelerated T1D, ΔHel1 mice were protected partly due to decreased type I IFNs, pancreatic infiltrating TNF+ macrophages, IFN-γ+CD4+ T cells, and perforin+CD8+ T cells. Furthermore, ΔHel1 MDA5 protein had reduced ATP hydrolysis compared with wild-type MDA5. Our results suggest that dampened MDA5 function delays T1D, yet loss of MDA5 promotes T1D.

Authors

Samuel I. Blum, Jared P. Taylor, Jessie M. Barra, Ashley R. Burg, Qiao Shang, Shihong Qiu, Oren Shechter, Aleah R. Hayes, Todd J. Green, Aron M. Geurts, Yi-Guang Chen, Hubert M. Tse

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Usage data is cumulative from December 2022 through January 2023.

Usage JCI PMC
Text version 858 0
PDF 200 0
Figure 7 0
Supplemental data 38 0
Citation downloads 18 0
Totals 1,121 0
Total Views 1,121

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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