Evidence map›Paper›PMID 27019060›Full record

ArticleEpigenetics2018

Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies.

Pensee Wu, William E Farrell, Kim E Haworth, Richard D Emes, Mark O Kitchen, John R Glossop, Fahmy W Hanna, Anthony A Fryer

Abstract read
In one paragraph

Article in Epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Review
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  9. Article
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  13. Review
  14. Review
  15. Epigenetics and Pregnancy: Conditional Snapshot or Rolling Event.International journal of molecular sciences · 2022
    Review
  16. Observational
  17. Epigenetic Links between Microbiota and Gestational Diabetes.International journal of molecular sciences · 2022
    Review
  18. Review
  19. Article
  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

8 authors.

Pensee Wua Institute for Science and Technology in Medicine , Keele University, Guy Hilton Research Center , Staffordshire , UK.ORCID 0000-0003-0011-5636
William E Farrella Institute for Science and Technology in Medicine , Keele University, Guy Hilton Research Center , Staffordshire , UK.ORCID 0000-0002-9280-5484
Kim E Hawortha Institute for Science and Technology in Medicine , Keele University, Guy Hilton Research Center , Staffordshire , UK.ORCID 0000-0002-9460-4424
Richard D Emesc School of Veterinary Medicine and Science, University of Nottingham , Leicestershire , UK.ORCID 0000-0001-6855-5481
Mark O Kitchena Institute for Science and Technology in Medicine , Keele University, Guy Hilton Research Center , Staffordshire , UK.ORCID 0000-0002-1124-2940
John R Glossopa Institute for Science and Technology in Medicine , Keele University, Guy Hilton Research Center , Staffordshire , UK.ORCID 0000-0002-7969-1363
Fahmy W Hannaf Department of Diabetes and Endocrinology , University Hospital of North Midlands NHS Trust , Stoke-on-Trent, Staffordshire , UK.ORCID 0000-0002-6986-7417
Anthony A Fryera Institute for Science and Technology in Medicine , Keele University, Guy Hilton Research Center , Staffordshire , UK.ORCID 0000-0001-8678-0404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450K array analysis to determine changes to the epigenome in a unique cohort of maternal blood DNA from 11 pregnant women prior to GDM development relative to matched controls. Hierarchical clustering segregated the samples into 2 distinct clusters comprising GDM and healthy pregnancies. Screening identified 100 CpGs with a mean β-value difference of ≥0.2 between cases and controls. Using stringent criteria, 5 CpGs (within COPS8, PIK3R5, HAAO, CCDC124, and C5orf34 genes) demonstrated potentials to be clinical biomarkers as revealed by differential methylation in 8 of 11 women who developed GDM relative to matched controls. We identified, for the first time, maternal methylation changes prior to the onset of GDM that may prove useful as biomarkers for early therapeutic intervention.

Indexed as

DNA MethylationAdultCase-Control StudiesCpG IslandsDiabetes, GestationalEpigenesis, GeneticFemaleHumansPregnancy450K arraybiomarkerepigeneticsfetal programminggestational diabetes

Identifiers

PMID27019060
PMCPMC5873366

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.