Evidence map›Paper›PMID 35629277›Full record

ReviewLife (Basel, Switzerland)2022

Epigenetic Effect of Maternal Methyl-Group Donor Intake on Offspring's Health and Disease.

Szilvia Bokor, Réka A Vass, Simone Funke, Tibor Ertl, Dénes Molnár

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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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.

Szilvia BokorDepartment of Paediatrics, University of Pécs Medical School, H-7624 Pécs, Hungary.
Réka A VassNational Laboratory for Human Reproduction, University of Pécs, H-7624 Pécs, Hungary.
Simone FunkeNational Laboratory for Human Reproduction, University of Pécs, H-7624 Pécs, Hungary.
Tibor ErtlNational Laboratory for Human Reproduction, University of Pécs, H-7624 Pécs, Hungary.
Dénes MolnárDepartment of Paediatrics, University of Pécs Medical School, H-7624 Pécs, Hungary.ORCID 0000-0002-3675-7019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal exposure to some dietary and environmental factors during embryonic development can affect offspring's phenotype and, furthermore, the risk of developing diseases later in life. One potential mechanism responsible for this early programming may be the modification of the epigenome, such as DNA methylation. Methyl-group donors are essential for DNA methylation and are shown to have an important role in fetal development and later health. The main goal of the present review is to summarize the available literature data on the epigenetic effect (DNA methylation) of maternal methyl-group donor availability on reproductivity, perinatal outcome, and later health of the offspring. In our literature search, we found evidence for the association between alterations in DNA methylation patterns caused by different maternal methyl-group donor (folate, choline, methionine, betaine) intake and reproductivity, birth weight, neural tube defect, congenital heart defect, cleft lip and palate, brain development, and the development of obesity and associated non-communicable diseases in later life. We can conclude that maternal methyl-group donor availability could affect offspring's health via alterations in DNA methylation and may be a major link between early environmental exposure and the development of diseases in the offspring. However, still, further studies are necessary to confirm the associations and causal relationships.

Indexed as

DNA methylationepigeneticmaternal methyl-group donor intakenon-communicable diseaseperinatal outcomereproductivity

Identifiers

PMID35629277
PMCPMC9145757

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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.