Evidence map›Paper›PMID 23609933›Full record

ArticleInternational journal of obesity (2005)2013

Associations between antibiotic exposure during pregnancy, birth weight and aberrant methylation at imprinted genes among offspring.

A C Vidal, S K Murphy, A P Murtha, J M Schildkraut, A Soubry, Z Huang, S E B Neelon, B Fuemmeler, E Iversen, F Wang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 3 pooled it
6.4field-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

66 citing papers in PubMed, 3 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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6 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 1 country.

A C VidalDivision of Epidemiology, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC 27710, USA.
S K Murphy
A P Murtha
J M Schildkraut
A Soubry
Z Huang
S E B Neelon
B Fuemmeler
E Iversen
F Wang
J Kurtzberg
R L Jirtle
C Hoyo
Duke Medical Center · USDuke University · USDuke Institute for Health Innovation · US

Funding

Nutrition, Deregulation of Imprinted GenesR01ES016772 · NIEHS · DUKE UNIVERSITY · PI HOYO, CATHRINE · 2009 to 2013
$3.1M
Disparities in cervical cancer precursors and deregulation of imprinted genesR01CA142983 · NCI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI HOYO, CATHRINE, MURPHY, SUSAN KAY · 2010 to 2014
$3.0M
Integrating Population and Basic Science in Cancer ResearchR25CA126938 · NCI · DUKE UNIVERSITY · PI SCHILDKRAUT, JOELLEN M. · 2009 to 2013
$1.7M
NCI NIH HHS R01 CA142983NCI NIH HHS R01CA142983-02S1NCI NIH HHS R25 CA126938NIEHS NIH HHS R01 ES016772NIEHS NIH HHS R01-ES016772NIEHS NIH HHS R01ES016772
6 · The paper itself

Abstract

objectivesLow birth weight (LBW) has been associated with common adult-onset chronic diseases, including obesity, cardiovascular disease, type II diabetes and some cancers. The etiology of LBW is multi-factorial. However, recent evidence suggests exposure to antibiotics may also increase the risk of LBW. The mechanisms underlying this association are unknown, although epigenetic mechanisms are hypothesized. In this study, we evaluated the association between maternal antibiotic use and LBW and examined the potential role of altered DNA methylation that controls growth regulatory imprinted genes in these associations.

methodsBetween 2009-2011, 397 pregnant women were enrolled and followed until delivery. Prenatal antibiotic use was ascertained through maternal self-report. Imprinted genes methylation levels were measured at differentially methylated regions (DMRs) using bisulfite pyrosequencing. Generalized linear models were used to examine associations among antibiotic use, birth weight and DMR methylation fractions.

resultsAfter adjusting for infant gender, race/ethnicity, maternal body mass index, delivery route, gestational weight gain, gestational age at delivery, folic acid intake, physical activity, maternal smoking and parity, antibiotic use during pregnancy was associated with 138 g lower birth weight compared with non-antibiotic use (β-coefficient=-132.99, s.e.=50.70, P=0.008). These associations were strongest in newborns of women who reported antibiotic use other than penicillins (β-coefficient=-135.57, s.e.=57.38, P=0.02). Methylation at five DMRs, IGF2 (P=0.05), H19 (P=0.15), PLAGL1 (P=0.01), MEG3 (P=0.006) and PEG3 (P=0.08), was associated with maternal antibiotic use; among these, only methylation at the PLAGL1 DMR was also associated with birth weight.

conclusionWe report an inverse association between in utero exposure to antibiotics and lower infant birth weight and provide the first empirical evidence supporting imprinted gene plasticity in these associations.

Indexed as

Anti-Bacterial AgentsDNA MethylationInfant, Low Birth WeightPrenatal Exposure Delayed EffectsAdultBirth WeightCalcium-Binding ProteinsCardiovascular DiseasesCell Cycle ProteinsEpigenesis, GeneticFemaleFetal DevelopmentGenomic ImprintingHumansInfant, NewbornInsulin-Like Growth Factor IIAnti-Bacterial AgentsCalcium-Binding ProteinsCell Cycle ProteinsDLK1 protein, humanH19 long non-coding RNAIGF2 protein, humanInsulin-Like Growth Factor IIIntercellular Signaling Peptides and ProteinsKruppel-Like Transcription FactorsMembrane Proteinsmesoderm specific transcript proteinNerve Tissue ProteinsNNAT protein, humanPEG3 protein, humanPLAGL1 protein, humanProteinsRNA, Long NoncodingSarcoglycansSGCE protein, humanTranscription FactorsTumor Suppressor Proteins

Identifiers

PMID23609933
PMCPMC3705584
OpenAlexW2120924847

What OpenQuestion holds

Textmetadata
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.