Evidence map›Paper›PMID 28401680›Full record

ReviewPediatric diabetes2017

DNA methylation and its role in the pathogenesis of diabetes.

Amita Bansal, Sara E Pinney

Abstract readReview
In one paragraph

Review in Pediatric diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

84 citing papers in PubMed, 2 syntheses or guidelines pooled it, 158 citations in OpenAlex.

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  18. CD44, ACAN, PLVAP, and HBEGF Emerged as Potential Biomarkers in Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
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24 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Amita BansalCenter for Research on Reproduction and Women's Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Sara E PinneyCenter for Research on Reproduction and Women's Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0001-7824-2999
Children's Hospital of Philadelphia · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Mechanisms by which Exendin-4 normalizes epigenetic modifications in IUGR liverK08DK090302 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI PINNEY, SARA E · 2012 to 2015
$581k
NIDDK NIH HHS K08 DK090302NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

Although the factors responsible for the recent increase in the prevalence of diabetes worldwide are not entirely known, the morbidity associated with this disease results in substantial health and economic burden on society. Epigenetic modifications, including DNA methylation have been identified as one mechanism by which the environment interacts with the genome and there is evidence that alterations in DNA methylation may contribute to the increased prevalence of both type 1 and type 2 diabetes. This review provides a summary of DNA methylation and its role in gene regulation, and includes descriptions of various techniques to measure site-specific and genome-wide DNA methylation changes. In addition, we review current literature highlighting the complex relationship between DNA methylation, gene expression, and the development of diabetes and related complications. In studies where both DNA methylation and gene expression changes were reported, DNA methylation status had a strong inverse correlation with gene expression, suggesting that this interaction may be a potential future therapeutic target. We highlight the emerging use of genome-wide DNA methylation profiles as a biomarker to predict patients at risk of developing diabetes or specific complications of diabetes. The development of a predictive model that incorporates both genetic sequencing and DNA methylation data may be an effective diagnostic approach for all types of diabetes and could lead to additional innovative therapies.

Indexed as

DNA MethylationEpigenesis, GeneticGene Expression Regulation, DevelopmentalAnimalsBiomarkersCombined Modality TherapyDiabetes ComplicationsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Health TransitionHumansInsulin ResistanceRisk FactorsBiomarkersDNA methylationepigeneticsinsulin secretioninsulin sensitivityisletstype 2 diabetes

Identifiers

PMID28401680
PMCPMC5394941
OpenAlexW2606906244

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.