Evidence map›Paper›PMID 32555719›Full record

ArticlePloS one2020

Perinatal risk factors for fecal antibiotic resistance gene patterns in pregnant women and their infants.

Andrea Sosa-Moreno, Sarah S Comstock, Kameron Y Sugino, Teng F Ma, Nigel Paneth, Yelena Davis, Rosemary Olivero, Rebecca Schein, Joel Maurer, Lixin Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  12. Photodynamic therapy treats acne by altering the composition of the skin microbiota.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023
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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

10 authors at 2 institutions in 1 country.

Andrea Sosa-MorenoDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States of America.ORCID 0000-0002-4687-426X
Sarah S ComstockDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States of America.
Kameron Y SuginoDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States of America.
Teng F MaDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States of America.
Nigel PanethDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States of America.
Yelena DavisDepartment of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, MI, United States of America.
Rosemary OliveroHelen DeVos Children's Hospital of Spectrum Health, Grand Rapids, MI, United States of America.
Rebecca ScheinDepartment of Pediatrics and Human Development, College of Human Medicine, Michigan State University, East Lansing, MI, United States of America.
Joel MaurerDepartment of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, MI, United States of America.
Lixin ZhangDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States of America.ORCID 0000-0003-4893-4817
Michigan State University · USSpectrum Health · US

Funding

Understanding Breastfeeding Practices Among ECHO Cohort Participants Before and During/After the COVID-19 PandemicUH3OD023285 · OD · MICHIGAN STATE UNIVERSITY · PI Charles James Barone, MICHAEL R. ELLIOTT · 2018 to 2026
$24.5M
Prenatal Exposures and Child Health Outcomes: A Statewide StudyUG3OD023285 · OD · MICHIGAN STATE UNIVERSITY · PI BARONE, CHARLES JAMES, ELLIOTT, MICHAEL R. · 2016 to 2024
$12.9M
NIH HHS UG3 OD023285NIH HHS UH3 OD023285
6 · The paper itself

Abstract

Perinatal factors can shape fecal microbiome patterns among pregnant women and their infants. However, there is scarce information about the effect of maternal demographics and perinatal exposures on antibiotic resistance genes (ARG) and mobile genetic element (MGE) patterns in pregnant women and infants. We examined fecal samples from pregnant women during their third trimester of pregnancy (n = 51) and 6-month-old infants (n = 40). Of the 91 participants, 72 represented 36 maternal-infant dyads, 15 were additional pregnant women, and 4 were additional infants. We assessed the effects of demographics, pre-pregnancy BMI, smoking and parity in the pregnancy resistome and the effects of demographics, delivery mode, feeding habits and prenatal antibiotic treatment on the infancy resistome. ARG and MGE richness and abundance were assessed using a SmartChip qPCR-array. Alpha diversity (Shannon and Inverse Simpson index) and beta diversity (Sorensen and Bray-Curtis index) were calculated. The Wilcoxon and the Kruskal non-parametric test were used for comparisons. There is a high variability in shared resistome patterns between pregnant women and their infants. An average of 29% of ARG and 24% of MGE were shared within dyads. Infants had significantly greater abundance and higher diversity of ARG and MGE compared to pregnant women. Pregnancy and infancy samples differed in ARG and MGE gene composition and structure. Composition of the fecal resistome was significantly associated with race in pregnant women, with non-white women having different patterns than white women, and, in infants, with extent of solid food consumption. Our data showed that the pregnancy and infancy resistome had different structure and composition patterns, with maternal race and infant solid food consumption as possible contributors to ARG. By characterizing resistome patterns, our results can inform the mechanism of antibiotic resistome development in pregnant women and their infants.

Indexed as

Anti-Bacterial AgentsBacteriaBody Mass IndexBreast FeedingDNA, BacterialDrug Resistance, BacterialFecesFemaleGastrointestinal MicrobiomeHumansInfantParityPregnancyPregnancy Trimester, ThirdPrincipal Component AnalysisRisk FactorsAnti-Bacterial AgentsDNA, Bacterial

Identifiers

PMID32555719
PMCPMC7302573
OpenAlexW3035996140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.