Evidence map›Paper›PMID 33469876›Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2021

Maternal DNA Methylation During Pregnancy: a Review.

Jagyashila Das, Arindam Maitra

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Plasma miRNA-146b-3p, -222-3p, -221-5p, -21a-3p Expression Levels andInternational journal of molecular sciences · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Epigenetics and Pregnancy: Conditional Snapshot or Rolling Event.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. 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.

Jagyashila DasNational Institute of Biomedical Genomics, Kalyani, West Bengal, 741251, India.
Arindam MaitraNational Institute of Biomedical Genomics, Kalyani, West Bengal, 741251, India. am1@nibmg.ac.in.ORCID 0000-0002-0249-8856
National Institute of Biomedical Genomics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple environmental, behavioral, and hereditary factors affect pregnancy. Recent studies suggest that epigenetic modifications, such as DNA methylation (DNAm), affect both maternal and fetal health during the period of gestation. Some of the pregnancy-related risk factors can influence maternal DNAm, thus predisposing both the mother and the neonate to clinical adversities with long-lasting consequences. DNAm alterations in the promoter and enhancer regions modulate gene expression changes which play vital physiological role. In this review, we have discussed the recent advances in our understanding of maternal DNA methylation changes during pregnancy and its associated complications such as gestational diabetes and anemia, adverse pregnancy outcomes like preterm birth, and preeclampsia. We have also highlighted some major gaps and limitations in the area which if addressed might improve our understanding of pregnancy and its associated adverse clinical conditions, ultimately leading to healthy pregnancies and reduction of public health burden.

Indexed as

DNA MethylationEpigenesis, GeneticFemaleHumansMaternal HealthPregnancyPregnancy ComplicationsPregnancy OutcomeDNA methylationGestational diabetesMaternalPreeclampsiaPregnancyPregnancy-related anemiaPreterm birth

Identifiers

PMID33469876
OpenAlexW3123388714

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.