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Type 1 Diabetes Risk Variants Reduce Beta Cell Function

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Abstract

Introduction: The variants rs10517086 and rs1534422 are predictive of type 1 diabetes mellitus (T1DM) development and poor residual β cell function within the first year of diagnosis. However, the mechanism by which risk is conferred is unknown. We explored the impact of both variants on β cell function in vitro and assessed their relationship with C-peptide in people with T1DM and type 2 diabetes mellitus (T2DM). Methods: Using CRISPR/Cas9, the variants were introduced into a β cell line (BRIN-BD11) and a T cell line (Jurkat cells) from which the conditioned media was applied to otherwise healthy β cells to model the inflammatory environment associated with these variants. Results: Both variants significantly reduced glucose-stimulated insulin secretion, increased production of pro-inflammatory cytokines and reduced expression of several β cell markers and transcription factors (KCNJ11, KCNQ1, SCL2A2, GCK, NKX6.1, Pdx1 NGN3). However, HNF1A was significantly upregulated in the presence of both variants. We subsequently silenced HNF1A in variant expressing BRIN-BD11 cells using siRNA and found that gene expression profiles were normalised. Induction of each variant significantly increased expression of the lncRNAs they encode, which was normalised upon HNF1A silencing. Analysis of the DARE (Diabetes Alliance for Research in England) study revealed an association of rs10517086_A genotype with C-peptide in 153 individuals with T1DM, but not in 417 people with T2DM. Conclusions: These data suggest that rs1534422 and rs10517086 exert multiple insults on the β cell through excessive upregulation of HNF1A and induction of pro-inflammatory cytokines, and highlight their utility as prognostic markers of β cell function.
Original languageEnglish
Article number172
Pages (from-to)1-19
Number of pages19
JournalGenes
Volume16
Issue number2
Early online date29 Jan 2025
DOIs
Publication statusPublished (in print/issue) - 28 Feb 2025

Bibliographical note

Publisher Copyright:
© 2025 by the authors.

Data Availability Statement

All in vitro data are presented within the manuscript and available from the corresponding author upon reasonable request. The clinical datasets analysed in this study may be accessed through an application to the Peninsula Research Bank, which is managed by the NIHR Exeter Clinical Research Facility. Information on application or data are available on
http://exeter.crf.nihr.ac.uk/content/tissue-banks (accessed on 20 October 2024).

Funding

This work was supported by the European Union Regional Development Fund (ERDF) EU Sustainable Competitiveness Programme for Northern Ireland, Northern Ireland Public Health Agency (HSC R&D) and Ulster University, and through a PhD scholarship to WR from the Department for the Economy, Northern Ireland. The DARE study was funded by the Wellcome Trust and supported by the Exeter NIHR Clinical Research Facility.

Funders
Department for the Economy
HSC R&D
Northern Ireland Public Health Agency
Wellcome Trust
European Regional Development Fund

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • type 1 diabetes
    • risk variants
    • B cells
    • inflammation
    • Cell Line
    • Diabetes Mellitus, Type 1/genetics
    • Genetic Predisposition to Disease
    • C-Peptide/metabolism
    • Humans
    • Insulin-Secreting Cells/metabolism
    • Middle Aged
    • Male
    • Hepatocyte Nuclear Factor 1-alpha/genetics
    • Diabetes Mellitus, Type 2/genetics
    • Insulin Secretion/genetics
    • Insulin/metabolism
    • Cytokines/genetics
    • Female
    • Adult
    • Polymorphism, Single Nucleotide
    • Hepatocyte Nuclear Factor 1-alpha - genetics - metabolism
    • Cytokines - genetics - metabolism
    • Insulin Secretion - genetics
    • Diabetes Mellitus, Type 2 - genetics - metabolism
    • C-Peptide - metabolism
    • β cells
    • Diabetes Mellitus, Type 1 - genetics
    • Insulin-Secreting Cells - metabolism - pathology
    • Insulin - metabolism - genetics

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