Evidence map›Paper›PMID 30044231›Full record

ArticleEnvironmental health perspectives2018

A Suspect Screening Method for Characterizing Multiple Chemical Exposures among a Demographically Diverse Population of Pregnant Women in San Francisco.

Aolin Wang, Roy R Gerona, Jackie M Schwartz, Thomas Lin, Marina Sirota, Rachel Morello-Frosch, Tracey J Woodruff

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 69 citations in OpenAlex.

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  12. Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022
    Article
  13. Journal of the American Society for Mass Spectrometry · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Aolin WangProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, California, USA
Roy R GeronaClinical Toxicology and Environmental Biomonitoring Lab, University of California, San Francisco, California, USA
Jackie M SchwartzProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, California, USA
Thomas LinClinical Toxicology and Environmental Biomonitoring Lab, University of California, San Francisco, California, USA
Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco, California, USA
Rachel Morello-FroschSchool of Public Health and Department of Environmental Science, Policy and Management, University of California, Berkeley, California, USA
Tracey J WoodruffProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, California, USA
University of California, San Francisco · USUniversity of California, Berkeley · US

Funding

Transdisciplinary Approach to Rapidly Identify Reproductive Toxics in Pregnant Women and NewbornsR01ES027051 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Dimitri Abrahamsson, Tracey J. Woodruff · 2016 to 2026
$6.6M
The UCSF Pregnancy Exposures to Environmental Chemicals (PEEC) Children's CenterP01ES022841 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MORELLO-FROSCH, RACHEL ADELE · 2013 to 2018
$3.9M
Elucidating the Role of the Genetic and Environmental Determinants of Preterm Birth Using Integrative Computational ApproachesK01LM012381 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIROTA, MARINA · 2016 to 2018
$531k
NIEHS NIH HHS P01 ES022841NIEHS NIH HHS R01 ES027051NLM NIH HHS K01 LM012381Wellcome Trust
6 · The paper itself

Abstract

background

objectivesWe aimed to profile exposure to multiple environmental organic acids (EOAs) and identify novel chemicals that have not been previously biomonitored in a diverse population of pregnant women.

methodsWe used liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF/MS) to perform a suspect screen for 696 EOAs, (e.g., phenols and phthalate metabolites) on the maternal serum collected at delivery from 75 pregnant women delivering at two large San Francisco Hospitals. We examined demographic differences in peak areas and detection frequency (DF) of suspect EOAs using a Kruskal-Wallis Rank Sum test or Fisher's exact test. We confirmed selected suspects by comparison with their respective reference standards.

resultsWe detected, on average, 56 [standard deviation (SD)]: 8) suspect EOAs in each sample (range: 32-73). Twelve suspect EOAs with DF≥60 were matched to 21 candidate compounds in our EOA database, two-thirds of which are novel chemicals. We found demographic differences in DF for 13 suspect EOAs and confirmed the presence of 6 priority novel chemicals: 2,4-Di-tert-butylphenol, Pyrocatechol, 2,4-Dinitrophenol, 3,5-Di-tert-butylsalicylic acid, 4-Hydroxycoumarin, and 2'-Hydroxyacetophenone (or 3'-Hydroxyacetophenone). The first two are high-production-volume chemicals in the United States.

conclusionSuspect screening in human biomonitoring provides a viable method to characterize a broad spectrum of environmental chemicals to prioritize for targeted method development and quantification. https://doi.org/10.1289/EHP2920.

Indexed as

AcidsAdultChromatography, LiquidEnvironmental MonitoringEnvironmental PollutantsFemaleHumansMass SpectrometryMiddle AgedOrganic ChemicalsPregnancyPregnant PeopleSan FranciscoYoung AdultAcidsEnvironmental PollutantsOrganic Chemicals

Identifiers

PMID30044231
PMCPMC6108847
OpenAlexW2883143787

What OpenQuestion holds

Textmetadata
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.