The Type 1 Diabetes–Associated Single Nucleotide Polymorphism rs1990760 in <i>IFIH1</i> Is Associated with Increased Basal Type I IFNs and IFN-stimulated Gene Expression

Type 1 diabetes (T1D) is a chronic autoimmune disease that is caused by a combination of genetic and environmental risk factors. In this study, we sought to determine whether a known genetic risk factor, the rs1990760 single nucleotide polymorphism (SNP) (A946T) in IFIH1, resulted in a gain of function in the MDA5 protein and the effects of this mutation on the regulation of type I IFNs during infection with the diabetogenic virus coxsackievirus B3. We found that in cell lines overexpressing the risk variant IFIH1946T there was an elevated level of basal type I IFN signaling and increased basal IFN-stimulated gene expression. An investigation into the mechanism demonstrated that recombinant MDA5 with the A946T mutation had increased ATPase activity in vitro. We also assessed the effect of this SNP in primary human PBMCs from healthy donors to determine whether this SNP influenced their response to infection with coxsackievirus B3. However, we observed no significant changes in type I IFN expression or downstream induction of IFN-stimulated genes in PBMCs from donors carrying the risk allele IFIH1946T. These findings demonstrate the need for a deeper understanding of how mutations in T1D-associated genes contribute to disease onset in specific cellular contexts.

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2024-10-07
DOI
https://doi.org/10.4049/jimmunol.2400344
Citations
2
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
1.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Type 1 Diabetes–Associated Single Nucleotide Polymorphism rs1990760 in IFIH1 Is Associated with Increased Basal Type I IFNs and IFN-stimulated Gene Expression

Davide Botta, Samuel I. Blum, Qiao Shang, Jared P. Taylor et al.
2 citations
The Journal of Immunology
Diabetes and associated disorders
1.10
article

The Type 1 Diabetes–Associated Single Nucleotide Polymorphism rs1990760 in IFIH1 Is Associated with Increased Basal Type I IFNs and IFN-stimulated Gene Expression

Davide Botta, Samuel I. Blum, Qiao Shang, Jared P. Taylor, Hubert M. Tse, Todd J. Green, Frances E. Lund, Hollis C. Graffeo, Shihong Qiu
article en
2 citations

Abstract

Type 1 diabetes (T1D) is a chronic autoimmune disease that is caused by a combination of genetic and environmental risk factors. In this study, we sought to determine whether a known genetic risk factor, the rs1990760 single nucleotide polymorphism (SNP) (A946T) in IFIH1, resulted in a gain of function in the MDA5 protein and the effects of this mutation on the regulation of type I IFNs during infection with the diabetogenic virus coxsackievirus B3. We found that in cell lines overexpressing the risk variant IFIH1946T there was an elevated level of basal type I IFN signaling and increased basal IFN-stimulated gene expression. An investigation into the mechanism demonstrated that recombinant MDA5 with the A946T mutation had increased ATPase activity in vitro. We also assessed the effect of this SNP in primary human PBMCs from healthy donors to determine whether this SNP influenced their response to infection with coxsackievirus B3. However, we observed no significant changes in type I IFN expression or downstream induction of IFN-stimulated genes in PBMCs from donors carrying the risk allele IFIH1946T. These findings demonstrate the need for a deeper understanding of how mutations in T1D-associated genes contribute to disease onset in specific cellular contexts.

The Journal of ImmunologyVol. 213(10)
University of Alabama at Birmingham (US), University of Kansas Medical Center (US)
National Institute of Diabetes and Digestive and Kidney Diseases
Good health and well-being
Openalex Percentile: Top 19%
Diabetes and associated disorders
1.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.