Evidence map›Paper›PMID 30280270›Full record

ReviewCurrent diabetes reports2018

Epigenetics Variation and Pathogenesis in Diabetes.

Haichen Zhang, Toni I Pollin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  6. Article
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  15. Article
  16. Epigenetics of Aging and Aging-Associated Diseases.International journal of molecular sciences · 2021
    Review
  17. Review
  18. Article
  19. Type 1 diabetes: genes associated with disease development.Central-European journal of immunology · 2020
    Review
  20. Epigenetics and Type 2 Diabetes Risk.Current diabetes reports · 2019
    Review
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.

Haichen ZhangDepartment of Medicine, Division of Endocrinology, Diabetes and Nutrition Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, 670 West Baltimore Street, Room 4040, Baltimore, MD, 21201, USA.
Toni I PollinDepartment of Medicine, Division of Endocrinology, Diabetes and Nutrition Program for Personalized and Genomic Medicine, Department of Epidemiology and Public Health, University of Maryland School of Medicine, 670 West Baltimore Street, Room 4040, Baltimore, MD, 21201, USA. tpollin@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewGreat strides have recently been made in elucidating the role of genetic sequence variation in diabetes pathogenesis. Increasingly, studies are focusing on other factors that may contribute to the pathogenesis of diabetes, such as epigenetics, a term "traditionally" encompassing changes to the DNA that do not alter sequence and are heritable (primary methylation and histone modification) but often expanded to include microRNAs. This review summarizes latest findings on the role of epigenetics in diabetes pathogenesis. RECENT

findingsRecent studies illustrate roles for methylation changes, histone modification, imprinting, and microRNAs across several diabetes types and complications. Notably, methylation changes in the human leukocyte antigen (HLA) region have been found to precede the development of type 1 diabetes. In type 2 diabetes, lifestyle factors appear to interact with epigenetic mechanisms in pathogenesis. Emerging technologies have allowed increasingly comprehensive descriptive analysis of the role of epigenetic mechanisms in diabetes pathogenesis which have yielded meaningful insights into effects on expression of relevant genes. These findings have the potential to inform future development of predictive testing to enable primary prevention and further work to uncover the complex pathogenesis of diabetes.

Indexed as

Epigenesis, GeneticDiabetes MellitusDNA MethylationGenomic ImprintingHistonesHumansMicroRNAsHistonesMicroRNAsDiabetesDNA methylationEpigeneticsHistone modificationmicroRNAs

Identifiers

PMID30280270
OpenAlexW2895369162

What OpenQuestion holds

Textmetadata
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.