Evidence map›Paper›PMID 33965388›Full record

ArticleEnvironmental research2021

Associations of public water system trihalomethane exposure during pregnancy with spontaneous preterm birth and the cervicovaginal microbial-immune state.

Andrea Lewis, Thomas P McKeon, Anneclaire J De Roos, Jacques Ravel, Michal A Elovitz, Heather H Burris

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Identifying differences in U.S. exposure to ubiquitous carcinogens.International journal of hygiene and environmental health · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 4 institutions in 1 country.

Andrea LewisCenter of Excellence in Environmental Toxicology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Thomas P McKeonCenter of Excellence in Environmental Toxicology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Anneclaire J De RoosDepartment of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Jacques RavelInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Michal A ElovitzMaternal and Child Health Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Heather H BurrisMaternal and Child Health Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Pediatrics, The Children's Hospital of Philadelphia and University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA. Electronic address: hburris@pennmedicine.upenn.edu.
University of Pennsylvania · USChildren's Hospital of Philadelphia · USDrexel University · USUniversity of Maryland, Baltimore · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
The role of host-microbial interactions in altering preterm birth risk among black womenR01NR014784 · NINR · UNIVERSITY OF PENNSYLVANIA · PI ELOVITZ, MICHAL AVIVA · 2013 to 2024
$6.4M
Steer and trees summer research programsR25ES021649 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI FIELD, JEFFREY M · 2013 to 2022
$830k
NIEHS NIH HHS P30 ES013508NIEHS NIH HHS R25 ES021649NINR NIH HHS R01 NR014784
6 · The paper itself

Abstract

backgroundWater total trihalomethanes (TTHMs) are disinfectant byproducts found in municipal water supplies. TTHM exposure has been linked to cancer and may be associated with adverse reproductive outcomes. A non-optimal cervicovaginal microbiota and low cervicovaginal beta-defensin-2 levels are associated with increased risk of spontaneous preterm birth. Whether TTHM exposure increases the risk of spontaneous preterm birth or alters the cervicovaginal microbial or immune state is unknown.

objectiveInvestigate associations of water TTHM levels with spontaneous preterm birth, a non-optimal cervicovaginal microbiota, and beta-defensin-2 levels in a completed, diverse, urban pregnancy cohort. We hypothesized that higher TTHM levels would be associated with spontaneous preterm birth, a non-optimal cervicovaginal microbiota, and lower beta-defensin-2 levels.

designMethods: This was a secondary analysis of participants (n = 474) in the Motherhood & Microbiome (M&M) study (n = 2000), who lived in Philadelphia and had cervicovaginal samples analyzed for cervicovaginal microbiota composition and beta-defensin-2 levels. The microbiota was classified into community state types (CSTs). CST IV (non-optimal microbiota) is characterized by a paucity of Lactobacillus species and wide array of anaerobes. Municipal water TTHM levels were obtained from 16 sites monthly across the city of Philadelphia to establish mean residential water supply levels for each participant for the first four months of pregnancy (prior to vaginal swab collection at 16-20 weeks' gestation). Associations of water TTHM levels with spontaneous preterm birth and a non-optimal cervicovaginal microbiota birth were analyzed using multivariable logistic regression. Multivariable linear regression was used to model associations of water TTHM levels with log-transformed cervicovaginal beta-defensin-2 levels. Since water TTHM levels vary by season and beta-defensin-2 levels have been shown to differ by race, stratified models by warm (April-September) and cold (October-March) seasons as well as by self-identified race were utilized.

resultsParticipants' water supply TTHM levels (mean μg/L [SD]) were higher in the warm (53.5 [9.4]) than cold (33.4 [7.5]) season (p < 0.0001). TTHM levels were non-significantly higher among Black participants than non-Black participants (44.8 [13.5] vs. 41.8 [11.8], p = 0.07). No associations were detected between TTHM with spontaneous preterm birth (per SD increment of TTHM, aOR 0.94, 95%CI: 0.66, 1.34) or with CST IV (aOR 0.94, 95%CI: 0.86, 1.16). Counter to our hypothesis, we observed positive associations of water TTHM with log-transformed cervicovaginal beta-defensin-2 levels in unadjusted models (β 0.20 [95%CI: 0.02, 0.39]) per SD increment of TTHM), but the association was null after adjustment for season. However, in models adjusted for covariates including season and stratified by race, TTHM was significantly associated with lower beta-defensin-2 levels among non-Black participants (β -0.75 [95%CI: -1.43, -0.08]) but not among Black participants (β 0.17 [95%CI: -0.15, 0.49]), interaction p = 0.013).

conclusionWe did not detect associations of water TTHM levels with spontaneous preterm birth or the structure of the cervicovaginal microbiota. However, the finding of a significant interaction between TTHM and race on beta-defensin-2 levels suggest that environmental exposures may contribute to differences in reproductive tract innate immune function by race. Future studies to delineate environmental contributions to the cervicovaginal microbial-immune state, a potentially important biologic underpinning for preterm birth, are warranted.

Indexed as

DisinfectantsMicrobiotaPremature BirthFemaleHumansInfant, NewbornPregnancyTrihalomethanesWater SupplyDisinfectantsTrihalomethanesBeta-defensinMicrobiomePreterm birthTotal trihalomethane(s)Trihalomethane(s)

Identifiers

PMID33965388
PMCPMC8195861
OpenAlexW3163010019

What OpenQuestion holds

Textmetadata
LicenceTDM
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.