Evidence map›Paper›PMID 33335512›Full record

ReviewFrontiers in endocrinology2020

Genetics and Epigenetics: New Insight on Gestational Diabetes Mellitus.

Maria Grazia Dalfrà, Silvia Burlina, Gloria Giovanna Del Vescovo, Annunziata Lapolla

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 5 pooled it
7.6field-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

83 citing papers in PubMed, 5 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Association ofFrontiers in endocrinology · 2025
    Pooled it
  2. Cellular and Molecular Pathophysiology of Gestational Diabetes.International journal of molecular sciences · 2024
    Pooled it
  3. Pooled it
  4. Pooled it
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  6. Trial
  7. Trial
  8. Article
  9. Review
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  11. Epigenetic regulation in a high-sugar environment (Review).International journal of molecular medicine · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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  20. Review

23 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

4 authors at 1 institution in 1 country.

Maria Grazia DalfràDepartment of Medicine, University of Padova, Padova, Italy.
Silvia BurlinaDepartment of Medicine, University of Padova, Padova, Italy.
Gloria Giovanna Del VescovoDepartment of Medicine, University of Padova, Padova, Italy.
Annunziata LapollaDepartment of Medicine, University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is the most common metabolic complication of pregnancy, with a prevalence that has increased significantly in the last decade, coming to affect 12-18% of all pregnancies. GDM is believed to be the result of a combination of genetic, epigenetic and environmental factors. Following the identification of susceptibility genes for type 2 diabetes by means of genome-wide association studies, an association has also been demonstrated between some type 2 diabetes susceptibility genes and GDM, suggesting a partial similarity of the genetic architecture behind the two forms of diabetes. More recent genome-wide association studies, focusing on maternal metabolism during pregnancy, have demonstrated an overlap in the genes associated with metabolic traits in gravid and non-gravid populations, as well as in genes apparently unique to pregnancy. Epigenetic changes-such as DNA methylation, histone modifications and microRNA gene silencing-have also been identified in GDM patients. Metabolomics has been used to profile the metabolic state of women during pregnancy, based on the measurement of numerous low-molecular-weight metabolites. Measuring amino acids and conventional metabolites has revealed changes in pregnant women with a higher insulin resistance and high blood glucose levels that resemble the changes seen in non-gravid, insulin-resistant populations. This would suggest similarities in the metabolic profiles typical of insulin resistance and hyperglycemia whether individuals are pregnant or not. Future studies combining data obtained using multiple technologies will enable an integrated systems biology approach to maternal metabolism during a pregnancy complicated by GDM. This review highlights the recent knowledge on the impact of genetics and epigenetics in the pathophysiology of GDM and the maternal and fetal complications associated with this pathology condition.

Indexed as

Epigenesis, GeneticGenetic LinkageGenetic MarkersGenetic Predisposition to DiseaseDiabetes, GestationalFemaleGenome-Wide Association StudyHumansPregnancyPregnancy ComplicationsGenetic Markersepigeneticgeneticgestational diabetesmass spectrometrynutritionobesity

Identifiers

PMID33335512
PMCPMC7736606
OpenAlexW3107713694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.