Evidence map›Paper›PMID 30903970›Full record

ArticleEnvironmental research2019

Longitudinal changes during pregnancy in gut microbiota and methylmercury biomarkers, and reversal of microbe-exposure correlations.

Sarah E Rothenberg, Carol L Wagner, Bashir Hamidi, Alexander V Alekseyenko, M Andrea Azcarate-Peril

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Evaluation of Fetal Exposures to Metals and Metalloids through Meconium Analyses: A Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Article
  4. Article
  5. Intestinal microbiota protects against methylmercury-induced neurotoxicity.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. The Impact of Environmental Chemicals on the Gut Microbiome.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  11. Article
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

5 authors.

Sarah E RothenbergSchool of Biological and Population Health Sciences, Oregon State University, Corvallis, Oregon, USA. Electronic address: sarah.rothenberg@oregonstate.edu.
Carol L WagnerDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, USA.
Bashir HamidiDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
Alexander V AlekseyenkoDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
M Andrea Azcarate-PerilDivision of Gastroenterology and Hepatology and Microbiome Core Facility, University of North Carolina, Chapel Hill, NC, USA.

Funding

PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
Distance-based Panomic Analytics for Microbiome DataR01LM012517 · NLM · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ALEKSEYENKO, ALEXANDER V · 2018 to 2021
$1.3M
Methylmercury Exposure Through Rice Ingestion, Gut Microbes, and Offspring DevelopmentR21ES026412 · NIEHS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ROTHENBERG, SARAH E · 2016 to 2017
$387k
NIDDK NIH HHS P30 DK034987NIEHS NIH HHS L30 ES023165NIEHS NIH HHS R21 ES026412NLM NIH HHS R01 LM012517
6 · The paper itself

Abstract

objectiveGut microorganisms contribute to the metabolism of environmental toxicants, including methylmercury (MeHg). Our main objective was to investigate whether associations between biomarkers for prenatal MeHg exposure and maternal gut microbiota differed between early and late gestation.

methodsMaternal blood and stool samples were collected during early (8.3-17 weeks, n=28) and late (27-36 weeks, n=24) gestation. Total mercury and MeHg concentrations were quantified in biomarkers, and inorganic mercury was estimated by subtraction. The diversity and structure of the gut microbiota were investigated using 16S rRNA gene profiling (n = 52). Biomarkers were dichotomized, and diversity patterns were compared between high/low mercury concentrations. Spearman's correlation was used to assess bivariate associations between MeHg biomarkers (stool, blood, and meconium), and 23 gut microbial taxa (genus or family level, >1% average relative abundance).

resultsWithin-person and between-person diversity patterns in gut microbiota differed between early/late gestation. The overall composition of the microbiome differed between high/low MeHg concentrations (in blood and stool) during early gestation, but not late gestation. Ten (of 23) taxa were significantly correlated with MeHg biomarkers (increasing or decreasing); however, associations differed, depending on whether the sample was collected during early or late gestation. A total of 43% of associations (69/161) reversed the direction of correlation between early/late gestation.

conclusionsThe time point at which a maternal fecal sample is collected may yield different associations between gut microorganisms and MeHg biomarkers, which may be due in part to remodeling of maternal microbiota during pregnancy. Our results suggest the effectiveness of dietary interventions to reduce prenatal MeHg exposure may differ between early and late gestation.

Indexed as

BiomarkersEnvironmental ExposureGastrointestinal MicrobiomeMercuryMethylmercury CompoundsFemaleHumansInfant, NewbornPregnancyRNA, Ribosomal, 16STimeBiomarkersMercuryMethylmercury CompoundsRNA, Ribosomal, 16SGut microbiotaMeconiumMethylmercuryPrenatal

Identifiers

PMID30903970
PMCPMC6675619

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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.