Evidence map›Paper›PMID 25928716›Full record

ArticleEpigenetics2015

Associations between prenatal physical activity, birth weight, and DNA methylation at genomically imprinted domains in a multiethnic newborn cohort.

Lauren E McCullough, Michelle A Mendez, Erline E Miller, Amy P Murtha, Susan K Murphy, Cathrine Hoyo

Abstract read
In one paragraph

Article in Epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Epigenetics of Hepatic Insulin Resistance.Frontiers in endocrinology · 2021
    Review
  14. Nutrition and its role in epigenetic inheritance of obesity and diabetes across generations.Mammalian genome : official journal of the International Mammalian Genome Society · 2020
    Review
  15. Maternally expressed gene 3 in metabolic programming.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020
    Review
  16. Article
  17. When and How Should Chinese Pregnant Women Exercise? A Longitudinal Study in China.International journal of environmental research and public health · 2019
    Article
  18. Observational
  19. Review
  20. 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

6 authors.

Lauren E McCullougha Department of Epidemiology; University of North Carolina Chapel Hill ; Chapel Hill , NC , USA.
Michelle A Mendez
Erline E Miller
Amy P Murtha
Susan K Murphy
Cathrine Hoyo

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
LINEBERGER CANCER CONTROL EDUCATION PROGRAMR25CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, JO ANNE L, RIBISL, KURT M. · 1992 to 2016
$8.0M
Nutrition, Deregulation of Imprinted GenesR01ES016772 · NIEHS · DUKE UNIVERSITY · PI HOYO, CATHRINE · 2009 to 2013
$3.1M
NCI NIH HHS R25 CA057726NCI NIH HHS R25CA057726NICHD NIH HHS P2C HD050924NIEHS NIH HHS ES016772NIEHS NIH HHS R01 ES016772NIEHS NIH HHS R01-ES016772
6 · The paper itself

Abstract

Birth weight is a commonly used indicator of the fetal environment and a predictor of future health outcomes. While the etiology of birth weight extremes is likely multifactorial, epidemiologic data suggest that prenatal physical activity (PA) may play an important role. The mechanisms underlying this association remain unresolved, although epigenetics has been proposed. This study aimed to estimate associations between prenatal PA, birth weight, and newborn DNA methylation levels at differentially methylated regions (DMRs) regulating 4 imprinted genes known to be important in fetal development. Study participants (N = 1281) were enrolled as part of the Newborn Epigenetics Study. Prenatal PA was ascertained using the Pregnancy Physical Activity Questionnaire, and birth weight data obtained from hospital records. Among 484 term mother-infant pairs, imprinted gene methylation levels were measured at DMRs using bisulfite pyrosequencing. Generalized linear and logistic regression models were used to estimate associations. After adjusting for preterm birth and race/ethnicity, we found that infants born to mothers in the highest quartile of total non-sedentary time had lower birth weight compared to infants of mothers in the lowest quartile (β = -81.16, SE = 42.02, P = 0.05). These associations appeared strongest among male infants (β = -125.40, SE = 58.10, P = 0.03). Methylation at the PLAGL1 DMR was related to total non-sedentary time (P < 0.05). Our findings confirm that prenatal PA is associated with reduced birth weight, and is the first study to support a role for imprinted gene plasticity in these associations. Larger studies are required.

Indexed as

DNA MethylationGenetic Association StudiesGenomic ImprintingAdolescentBirth WeightCell Cycle ProteinsCohort StudiesFemaleHumansInfant, NewbornMaleMotor ActivityPregnancyTranscription FactorsTumor Suppressor ProteinsYoung AdultCell Cycle ProteinsPLAGL1 protein, humanTranscription FactorsTumor Suppressor Proteinsbirth weightBMI, body mass indexBW, birth weightDMR, differentially methylated regionsDOHaD, developmental origins of health and diseaseepidemiologyepigeneticsHIV, human immunodeficiency virusIGF, insulin-like growth factorimprinted genesLBW, low birth weightLMP, last menstrual periodmethylationMET, metabolic equivalentNEST, Newborn Epigenetic StudyPA, physical activityphysical activitySE, standard error.

Identifiers

PMID25928716
PMCPMC4622928

What OpenQuestion holds

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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.