Evidence map›Paper›PMID 26910463›Full record

ArticleDiabetologia2016

Methylation of insulin DNA in response to proinflammatory cytokines during the progression of autoimmune diabetes in NOD mice.

Jinxiu Rui, Songyan Deng, Jasmin Lebastchi, Pamela L Clark, Sahar Usmani-Brown, Kevan C Herold

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
9.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Narcolepsy is (not) an autoimmune disease.Nature reviews. Neurology · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Diabetes: discovery of insulin, genetic, epigenetic and viral infection mediated regulation.The Nucleus : an international journal of cytology and allied topics · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jinxiu RuiDepartment of Immunobiology, Yale University, 300 George St, New Haven, CT, 06520, USA.
Songyan DengDepartment of Immunobiology, Yale University, 300 George St, New Haven, CT, 06520, USA.
Jasmin LebastchiDepartment of Immunobiology, Yale University, 300 George St, New Haven, CT, 06520, USA.
Pamela L ClarkDepartment of Immunobiology, Yale University, 300 George St, New Haven, CT, 06520, USA.
Sahar Usmani-BrownL2 Diagnostics, New Haven, CT, USA.
Kevan C HeroldDepartment of Immunobiology, Yale University, 300 George St, New Haven, CT, 06520, USA. kevan.herold@yale.edu.
Yale University · USO.N. Diagnostics (United States) · US

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Richard A Flavell · 1993 to 2026
$44.0M
Phase II Trial of HOKT3gamma 1 (ALA-ALA) in Type 1 DiabetesR01DK057846 · NIDDK · YALE UNIVERSITY · PI Kevan C Herold · 2000 to 2026
$11.1M
Epigenetic, Protein, and Cellular Biomarkers of Beta Cell Function in T1DUC4DK104205 · NIDDK · YALE UNIVERSITY · PI HEROLD, KEVAN C · 2014 to 2014
$2.5M
Measurement of Beta Cell Death in DiabetesR42DK095639 · NIDDK · L2 DIAGNOSTICS, LLC · PI HEROLD, KEVAN C · 2014 to 2015
$1.3M
Analysis of beta cell death in Type 1 diabetesDP3DK101122 · NIDDK · YALE UNIVERSITY · PI HEROLD, KEVAN C · 2013 to 2013
$807k
NIDDK NIH HHS DP3 DK101122NIDDK NIH HHS P30 DK045735NIDDK NIH HHS R01 DK057846NIDDK NIH HHS R42 DK095639NIDDK NIH HHS UC4 DK104205NIDDK NIH HHS UC4DK104205
6 · The paper itself

Abstract

aims/hypothesisType 1 diabetes is caused by the immunological destruction of pancreatic beta cells. Preclinical and clinical data indicate that there are changes in beta cell function at different stages of the disease, but the fate of beta cells has not been closely studied. We studied how immune factors affect the function and epigenetics of beta cells during disease progression and identified possible triggers of these changes.

methodsWe studied FACS sorted beta cells and infiltrating lymphocytes from NOD mouse and human islets. Gene expression was measured by quantitative real-time RT-PCR (qRT-PCR) and methylation of the insulin genes was investigated by high-throughput and Sanger sequencing. To understand the role of DNA methyltransferases, Dnmt3a was knocked down with small interfering RNA (siRNA). The effects of cytokines on methylation and expression of the insulin gene were studied in humans and mice.

resultsDuring disease progression in NOD mice, there was an inverse relationship between the proportion of infiltrating lymphocytes and the beta cell mass. In beta cells, methylation marks in the Ins1 and Ins2 genes changed over time. Insulin gene expression appears to be most closely regulated by the methylation of Ins1 exon 2 and Ins2 exon 1. Cytokine transcription increased with age in NOD mice, and these cytokines could induce methylation marks in the insulin DNA by inducing methyltransferases. Similar changes were induced by cytokines in human beta cells in vitro. CONCLUSIONS/

interpretationEpigenetic modification of DNA by methylation in response to immunological stressors may be a mechanism that affects insulin gene expression during the progression of type 1 diabetes.

Indexed as

AdultAnimalsCytokinesDiabetes Mellitus, Type 1DNADNA MethylationFemaleHumansInsulinInsulin-Secreting CellsMiceMice, Inbred NODCytokinesDNAInsulinBeta cellCytokinesDNA methylationDNA methyltransferasesDnmt3aInfiltrating lymphocytesIns1Ins2Type 1 diabetes

Identifiers

PMID26910463
PMCPMC4826795
OpenAlexW2285456194

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.