Evidence map›Paper›PMID 30984521›Full record

ArticleBalkan journal of medical genetics : BJMG2018

Epigenetic Signature of Chronic Maternal Stress Load During Pregnancy Might be a Potential Biomarker for Spontaneous Preterm Birth.

Rogac M, Peterlin B

Open access · goldAbstract read
In one paragraph

Article in Balkan journal of medical genetics : BJMG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Rogac MClinical Institute of Medical Genetics, University Medical Center Ljubljana, Ljubljana, Slovenia.
Peterlin BClinical Institute of Medical Genetics, University Medical Center Ljubljana, Ljubljana, Slovenia.
Ljubljana University Medical Centre · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth is the leading cause of mortality in newborn infants and can lead to significant neonatal morbidities. Spontaneous preterm birth accounts for at least 50.0% of all preterm births. We argue that chronic maternal stress load, which is an important risk factor for spontaneous preterm birth, could be represented by epigenetic signature of several specific genetic loci in the mother's blood. A literature search was done in PubMed with the following keywords: "DNA methylation," "epigenetics," "maternal stress" and "preterm birth" from year 2000 to 2017. We suggest that these genetic loci might be related to vulnerability and hypersensibility of stress response during pregnancy in women with preterm births. The mother's epi-genetic stress bioprofile was supposed to be a result of chronic maternal stress load since her birth. This epigenetic bioprofile might also be a potential biomarker for spontaneous preterm birth. DNA methylation changes are tissue-specific and human stress response manifests mostly through the central nervous system (CNS). Nevertheless, we found evidence that methylation changes of DNA isolated from blood leucocytes might be a reliable measure of stress-related epigenetic changes that occur in the CNS. Evaluating biological mechanisms through the development of simple assays based on epigenetic changes to measure chronic stress loads in expectant mothers can lead to our ability to prepare more effective measures for the prevention of preterm births, as well as leading to more effective treatment strategies for both expectant mothers and their newborns.

Indexed as

EpigeneticsHypothalamic-pituitary-adrenal (HPA) axisMaternal stressPreterm birth

Identifiers

PMID30984521
PMCPMC6454236
OpenAlexW2925941465

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.