Evidence map›Paper›PMID 28727822›Full record

ArticlePloS one2017

DNA methylation of candidate genes in peripheral blood from patients with type 2 diabetes or the metabolic syndrome.

Sanne D van Otterdijk, Alexandra M Binder, Katarzyna Szarc Vel Szic, Julia Schwald, Karin B Michels

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Regulatory roles of PIWI-interacting RNAs in cardiovascular disease.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  5. Article
  6. Article
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  8. Genetic and Epigenetic Factors in Gestational Diabetes Mellitus Pathology.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. The Association of Methylation Level in thePharmacogenomics and personalized medicine · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes.International journal of molecular sciences · 2021
    Review
  18. Review
  19. Epigenetic Regulation of PDX-1 in Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Review
  20. Article
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

5 authors at 4 institutions in 2 countries.

Sanne D van OtterdijkInstitute for Prevention and Cancer Epidemiology, University Medical Center Freiburg, Freiburg, Germany.
Alexandra M BinderDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, United States of America.
Katarzyna Szarc Vel SzicInstitute for Prevention and Cancer Epidemiology, University Medical Center Freiburg, Freiburg, Germany.
Julia SchwaldInstitute for Prevention and Cancer Epidemiology, University Medical Center Freiburg, Freiburg, Germany.
Karin B MichelsInstitute for Prevention and Cancer Epidemiology, University Medical Center Freiburg, Freiburg, Germany.
Harvard University · USGerman Cancer Research Center · DEHeidelberg University · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of type 2 diabetes (T2D) and the metabolic syndrome (MetS) is increasing and several studies suggested an involvement of DNA methylation in the development of these metabolic diseases. This study was designed to investigate if differential DNA methylation in blood can function as a biomarker for T2D and/or MetS.

methodsPyrosequencing analyses were performed for the candidate genes KCNJ11, PPARγ, PDK4, KCNQ1, SCD1, PDX1, FTO and PEG3 in peripheral blood leukocytes (PBLs) from 25 patients diagnosed with only T2D, 9 patients diagnosed with T2D and MetS and 11 control subjects without any metabolic disorders.

resultsNo significant differences in gene-specific methylation between patients and controls were observed, although a trend towards significance was observed for PEG3. Differential methylation was observed between the groups in 4 out of the 42 single CpG loci located in the promoters regions of the genes FTO, KCNJ11, PPARγ and PDK4. A trend towards a positive correlation was observed for PEG3 methylation with HDL cholesterol levels. DISCUSSION: Altered levels of DNA methylation in PBLs of specific loci might serve as a biomarker for T2D or MetS, although further investigation is required.

Indexed as

DNA MethylationAgedAged, 80 and overBiomarkersDiabetes Mellitus, Type 2FemaleHumansLeukocytes, MononuclearMaleMetabolic SyndromeMiddle AgedBiomarkers

Identifiers

PMID28727822
PMCPMC5519053
OpenAlexW2736331890

What OpenQuestion holds

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Registered trials

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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.