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DEXI, a candidate gene for type 1 diabetes, modulates rat and human pancreatic beta cell inflammation via regulation of the type I IFN/STAT signalling pathway
- Publication Year :
- 2018
-
Abstract
- Aims/hypothesis: The initial stages of type 1 diabetes are characterized by an aberrant islet inflammation that is in part regulated by the interaction between type 1 diabetes susceptibility genes and environmental factors. Chromosome 16p13 is associated with type 1 diabetes and CLEC16A has been considered the etiologic gene in the region. However, recent gene expression analysis indicates that SNPs in CLEC16A modulate the expression of a neighbouring gene with unknown function named DEXI. We presently evaluated the role of DEXI in beta cell responses to “danger signals” and determined the mechanisms involved. Methods: Functional studies based on silencing or overexpression of DEXI were performed in rat and human pancreatic beta cells. Viral double-stranded RNA-driven beta cell inflammation and apoptosis were evaluated by RT-PCR, western blot and luciferase assays. Results: DEXI-silenced beta cells exposed to double-stranded RNA (PIC; a by-product of viral replication) showed reduced STAT1 activation and lower production of pro-inflammatory chemokines that was preceded by a reduction in IFN expression. Exposure to PIC increased chromatin-bound DEXI and IFN promoter activity. This effect on IFN promoter was inhibited in DEXI-silenced betacells, suggesting that DEXI is implicated in the regulation of IFNtranscription. In a mirror image of knockdown experiments, DEXI overexpression led to increased STAT1 and pro-inflammatory chemokine expression. Conclusions: These observations support DEXI as the aetiological gene in the type 1 diabetes-associated 16p13 genomic region and provide the first indication of a link between this candidate gene and the regulation of local antiviral immune response in beta cells. Moreover, our results provide initial information on the function of DEXI.
Details
- Database :
- OAIster
- Notes :
- This work was supported by a Research Project Grant from the Basque Department of Health (2015111068), a Research Grant from Fundación de la Sociedad Española de Diabetes (FSED), the Horizon 2020 Program T2Dsystems (GA667191) and the NIH- NIDDK-HIRN Consortium 1UC4DK104166-01, USA. TV and AJM were supported by Predoctoral Fellowship grants from the UPV/EHU and the Basque Department of Education, respectively. AOG is supported by a Predoctoral Fellowship Grant from the Basque Department of Education. ACR is supported by an Ikerbasque Research Fellow grant. LM was supported by a Fonds National de la Recherche Scientifique postdoctoral fellowship. DLE has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115797 (INNODIA). This Joint Undertaking, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1430741829
- Document Type :
- Electronic Resource