Evidence map›Paper›PMID 29288057›Full record

ReviewInternational journal of cardiology2018

The role of DNA methylation in the association between childhood adversity and cardiometabolic disease.

Guang Hao, Nagy A Youssef, Catherine L Davis, Shaoyong Su

Open access · greenAbstract readReview
In one paragraph

Review in International journal of cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 35 citations in OpenAlex.

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  9. Childhood Neighborhood Disadvantage, Parenting, and Adult Health.American journal of preventive medicine · 2022
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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

4 authors at 2 institutions in 1 country.

Guang HaoDepartment of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, United States. Electronic address: ghao@augusta.edu.
Nagy A YoussefDepartment of Psychiatry & Health Behavior, Medical College of Georgia, Augusta University, Augusta, GA, United States. Electronic address: nyoussef@augusta.edu.
Catherine L DavisDepartment of Population Health Sciences, Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA, United States. Electronic address: katie.davis@augusta.edu.
Shaoyong SuDepartment of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, United States. Electronic address: ssu@augusta.edu.
Augusta University · USPrevention Institute · US

Funding

Epigenetic Response to Early Life Stress and the Impact on Cardiovascular HealthR01HL125577 · NHLBI · AUGUSTA UNIVERSITY · PI SU, SHAOYONG · 2015 to 2018
$1.5M
NHLBI NIH HHS R01 HL125577
6 · The paper itself

Abstract

Growing evidence suggests that adverse environmental stimuli, especially during sensitive periods in early life, may lead to cardiometabolic disease in later life. However, the underlying biological mechanisms remain a mystery. Recent studies inferred that epigenetic modifications are likely involved. We review recent studies, primarily focused on the findings from human studies, to indicate the role of DNA methylation in the associations between childhood adversity and cardiometabolic disease in adulthood. In particular, we focused on DNA methylation modifications in genes regulating the hypothalamus-pituitary-adrenal axis as well as the immune system.

Indexed as

Cardiovascular DiseasesChildChild AbuseDNA MethylationEpigenesis, GeneticFemaleHumansHypothalamo-Hypophyseal SystemMaleMetabolic DiseasesPituitary-Adrenal SystemStress, PsychologicalCardiometabolic diseaseChildhood adversityDNA methylation

Identifiers

PMID29288057
PMCPMC5807118
OpenAlexW2778172945

What OpenQuestion holds

Textmetadata
LicenceTDM
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.