Cited by 8Diabetes and associated disordersIron Metabolism and DisordersPancreatic function and diabetes

Identification of Novel Disease-Relevant Genes and Pathways in the Pathogenesis of Type 1 Diabetes: A Potential Defect in Pancreatic Iron Homeostasis

Open access
Yip, Linda, Alkhataybeh, Reem, Taylor, Cariel, Fuhlbrigge, Rebecca, Fathman, C. Garrison·2022·Diabetes

Published version of a preprint

Abstract

Multiple pathways contribute to the pathophysiological development of type 1 diabetes (T1D); however, the exact mechanisms involved are unclear. We performed differential gene expression analysis in pancreatic islets of NOD mice versus age-matched congenic NOD.B10 controls to identify genes that may contribute to disease pathogenesis. Novel genes related to extracellular matrix development and glucagon and insulin signaling/secretion were changed in NOD mice during early inflammation. During “respective” insulitis, the expression of genes encoding multiple chemosensory olfactory receptors were upregulated, and during “destructive” insulitis, the expression of genes involved in antimicrobial defense and iron homeostasis were downregulated. Islet inflammation reduced the expression of Hamp that encodes hepcidin. Hepcidin is expressed in β-cells and serves as the key regulator of iron homeostasis. We showed that Hamp and hepcidin levels were lower, while iron levels were higher in the pancreas of 12-week-old NOD versus NOD.B10 mice, suggesting that a loss of iron homeostasis may occur in the islets during the onset of “destructive” insulitis. Interestingly, we showed that the severity of NOD disease correlates with dietary iron intake. NOD mice maintained on low-iron diets had a lower incidence of hyperglycemia, while those maintained on high-iron diets had an earlier onset and higher incidence of disease, suggesting that high iron exposure combined with a loss of pancreatic iron homeostasis may exacerbate NOD disease. This mechanism may explain the link seen between high iron exposure and the increased risk for T1D in humans.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/db21-0948

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Authors
Yip, L., Alkhataybeh, R., Taylor, C., Fuhlbrigge, R., & Fathman, C. G.
Corresponding author
Yip, Linda
Venue
Diabetes
Published
2022-05-02
Volume
71
Issue
7
Pages
1490-1507
ISSN
0012-1797 (ISSN-L)
OpenAlex
W4225275453
Cited by
8
References
5
Citations by year
2025: 4 · 2024: 1 · 2023: 3
FWCI
1.21
Type
journal article
Language
en
Open access
Locations
  • Diabetes (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (P30DK116074)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
  • Health Sciences › Medicine › Hematology › Iron Metabolism and Disorders
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
Keywords
type 1 diabetes, hepcidin, insulitis, NOD mice, extracellular matrix genes, olfactory receptors, antimicrobial defense, iron intake, pathogenesis, gene expression
MeSH terms
Animals, Diabetes Mellitus, Type 1, Homeostasis, Inflammation, Iron, Islets of Langerhans, Pancreas, Mice, Inbred NOD, Mice, Hepcidins

About these checks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review