Evidence map›Paper›PMID 31226994›Full record

ArticleAnnals of clinical microbiology and antimicrobials2019

Association of prenatal antibiotics with measures of infant adiposity and the gut microbiome.

Mingyu Zhang, Moira K Differding, Sara E Benjamin-Neelon, Truls Østbye, Cathrine Hoyo, Noel T Mueller

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Mingyu ZhangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3628-0983
Moira K DifferdingDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sara E Benjamin-NeelonDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Truls ØstbyeDepartment of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA.
Cathrine HoyoDepartment of Biological Sciences and Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.
Noel T MuellerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. nmuelle4@jhu.edu.ORCID http://orcid.org/0000-0002-7412-8352

Funding

CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Early child care and risk of obesityR01DK094841 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI BENJAMIN-NEELON, SARA ELIZABETH · 2012 to 2016
$2.9M
The Effects of Diet on the Gut Microbiome and Short Chain Fatty AcidsK01HL141589 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI MUELLER, NOEL T · 2018 to 2022
$845k
NHLBI NIH HHS K01 HL141589NHLBI NIH HHS K01HL141589NHLBI NIH HHS T32 HL007024NIDDK NIH HHS P30 DK072488NIDDK NIH HHS P30DK072488NIDDK NIH HHS R01DK094841
6 · The paper itself

Abstract

backgroundPrenatal antibiotic exposure has been associated with an altered infant gut microbiome composition and higher risk of childhood obesity, but no studies have examined if prenatal antibiotics simultaneously alter the gut microbiome and adiposity in infants.

methodIn this prospective study (Nurture: recruitment 2013-2015 in North Carolina, United States), we examined in 454 infants the association of prenatal antibiotic exposure (by any prenatal antibiotic exposure; by trimester of pregnancy; by number of courses; by type of antibiotics) with infant age- and sex-specific weight-for-length z score (WFL-z) and skinfold thicknesses (subscapular, triceps, abdominal) at 12 months of age. In a subsample, we also examined whether prenatal antibiotic exposure was associated with alterations in the infant gut microbiome at ages 3 and 12 months.

resultsCompared to infants not exposed to prenatal antibiotics, infants who were exposed to any prenatal antibiotics had 0.21 (95% confidence interval [CI] 0.02, 0.41) higher WFL-z at 12 months, and 0.28 (95% CI 0.02, 0.55) higher WFL-z if they were exposed to antibiotics in the second trimester, after adjustment for potential confounders, birth weight, and gestational age. We also observed a dose-dependent association (P-value for trend = 0.006) with infants exposed to ≥ 3 courses having 0.41 (95% CI 0.13, 0.68) higher WFL-z at 12 months. After further adjustment for delivery method, only second-trimester antibiotic exposure remained associated with higher infant WFL-z (0.27, 95% CI 0.003, 0.54) and subscapular skinfold thickness (0.49 mm, 95% CI 0.11, 0.88) at 12 months. Infants exposed to second-trimester antibiotics versus not had differential abundance of 13 bacterial amplicon sequence variants (ASVs) at age 3 months and 17 ASVs at 12 months (false discovery rate adjusted P-value < 0.05).

conclusionsPrenatal antibiotic exposure in the second trimester was associated with an altered infant gut microbiome composition at 3 and 12 months and with higher infant WFL-z and subscapular skinfold thickness at 12 months.

Indexed as

AdiposityAdultAnti-Bacterial AgentsBacteriaFemaleGastrointestinal MicrobiomeHumansInfantMaleObesityPregnancyPrenatal Exposure Delayed EffectsProspective StudiesYoung AdultAnti-Bacterial AgentsAntibioticChild healthGut microbiomePediatric obesityPregnancyPrenatal exposure

Identifiers

PMID31226994
PMCPMC6587281

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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.