Evidence map›Paper›PMID 31721535›Full record

ArticleCell journal2020

In Utero Exposure to Gestational Diabetes Alters DNA Methylation and Gene Expression of CDKN2A/B in Langerhans Islets of Rat Offspring.

Zahra Nazari, Alireza Shahryari, Soraya Ghafari, Mohammad Nabiuni, Mohammad Jafar Golalipour

Open access · greenAbstract read
In one paragraph

Article in Cell journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Metabolic memory: mechanisms and diseases.Signal transduction and targeted therapy · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Epigenetic Changes in Gestational Diabetes Mellitus.International journal of molecular sciences · 2021
    Review
  14. Article
  15. Review
  16. Genes and Diet in the Prevention of Chronic Diseases in Future Generations.International journal of molecular sciences · 2020
    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

5 authors at 3 institutions in 1 country.

Zahra NazariDepartment of Biology, Faculty of Sciences, Golestan University, Gorgan, Iran.
Alireza ShahryariStem Cell Research Center, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Soraya GhafariCongenital Malformations Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Mohammad NabiuniDepartment of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
Mohammad Jafar GolalipourCongenital Malformations Research Center, Golestan University of Medical Sciences, Gorgan, Iran. Electronic Address: dr.golalipour@goums.ac.ir.
Golestan University · IRGolestan University of Medical Sciences · IRKharazmi University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDNA methylation, a major epigenetic reprogramming mechanism, contributes to the increased prevalence of type 2 diabetes mellitus (T2DM). Based on genome-wide association studies, polymorphisms in MATERIALS AND

methodsIn this experimental study, we delineated DNA methylation patterns, mRNA transcription and protein expression level of

resultsOur results demonstrated that hypomethylation of CpG sites in the vicinity of

conclusionWe postulate that GDM is likely to exert its adverse effects on pancreatic β-cells of offspring through hypomethylation of the

Indexed as

DNA MethylationGestational DiabetesIslets of Langerhans

Identifiers

PMID31721535
PMCPMC6874789
OpenAlexW2996766779

What OpenQuestion holds

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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.