Evidence map›Paper›PMID 38142008›Full record

ArticleThe Science of the total environment2024

Exploring applications of non-targeted analysis in the characterization of the prenatal exposome.

Garret D Bland, Dimitri Abrahamsson, Miaomiao Wang, Marya G Zlatnik, Rachel Morello-Frosch, June-Soo Park, Marina Sirota, Tracey J Woodruff

Abstract read
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Garret D BlandDepartment of Obstetrics, Gynecology and Reproductive Sciences, Program on Reproductive Health and the Environment, University of California San Francisco, San Francisco, CA, United States.
Dimitri AbrahamssonDepartment of Obstetrics, Gynecology and Reproductive Sciences, Program on Reproductive Health and the Environment, University of California San Francisco, San Francisco, CA, United States. Electronic address: dimitri.abrahamsson@gmail.com.
Miaomiao WangDepartment of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA, United States.
Marya G ZlatnikDepartment of Obstetrics, Gynecology and Reproductive Sciences, Program on Reproductive Health and the Environment, University of California San Francisco, San Francisco, CA, United States.
Rachel Morello-FroschDepartment of Environmental Science, Policy and Management, School of Public Health, University of California Berkeley, Berkeley, CA, United States.
June-Soo ParkDepartment of Obstetrics, Gynecology and Reproductive Sciences, Program on Reproductive Health and the Environment, University of California San Francisco, San Francisco, CA, United States; Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA, United States.
Marina SirotaBakar Computational Health Sciences Institute, Department of Pediatrics, University of California San Francisco, San Francisco 94158, CA, United States.
Tracey J WoodruffDepartment of Obstetrics, Gynecology and Reproductive Sciences, Program on Reproductive Health and the Environment, University of California San Francisco, San Francisco, CA, United States. Electronic address: tracey.woodruff@ucsf.edu.

Funding

The Illinois Kids Development Study ECHO Pregnancy and Pediatric CohortUH3OD023272 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Andrea Aguiar, Susan L Schantz · 2018 to 2026
$18.6M
UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rashmi Joglekar · 2020 to 2026
$11.2M
The Illinois Kids Development Study ECHO Pregnancy and Pediatric CohortUG3OD023272 · OD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SCHANTZ, SUSAN L · 2016 to 2024
$7.2M
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 WOODRUFF, TRACEY J. · 2013 to 2018
$3.9M
Non-target analysis of maternal and cord blood samples: Advancing computational tools and discovering novel chemicalsR00ES032892 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABRAHAMSSON, DIMITRI · 2023 to 2025
$745k
Non-target analysis of maternal and cord blood samples: Advancing computational tools and discovering novel chemicalsK99ES032892 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABRAHAMSSON, DIMITRI · 2021 to 2022
$200k
NIEHS NIH HHS K99 ES032892NIEHS NIH HHS P01 ES022841NIEHS NIH HHS P30 ES030284NIEHS NIH HHS R00 ES032892NIEHS NIH HHS R01 ES027051NIH HHS UG3 OD023272NIH HHS UH3 OD023272
6 · The paper itself

Abstract

Capturing the breadth of chemical exposures in utero is critical in understanding their long-term health effects for mother and child. We explored methodological adaptations in a Non-Targeted Analysis (NTA) pipeline and evaluated the effects on chemical annotation and discovery for maternal and infant exposure. We focus on lesser-known/underreported chemicals in maternal and umbilical cord serum analyzed with liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF/MS). The samples were collected from a demographically diverse cohort of 296 maternal-cord pairs (n = 592) recruited in San Francisco Bay area. We developed and evaluated two data processing pipelines, primarily differing by detection frequency cut-off, to extract chemical features from non-targeted analysis (NTA). We annotated the detected chemical features by matching with EPA CompTox Chemicals Dashboard (n = 860,000 chemicals) and Human Metabolome Database (n = 3140 chemicals) and applied a Kendrick Mass Defect filter to detect homologous series. We collected fragmentation spectra (MS/MS) on a subset of serum samples and matched to an experimental MS/MS database within the MS-Dial website and other experimental MS/MS spectra collected from standards in our lab. We annotated ~72 % of the features (total features = 32,197, levels 1-4). We confirmed 22 compounds with analytical standards, tentatively identified 88 compounds with MS/MS spectra, and annotated 4862 exogenous chemicals with an in-house developed annotation algorithm. We detected 36 chemicals that appear to not have been previously reported in human blood and 9 chemicals that were reported in less than five studies. Our findings underline the importance of NTA in the discovery of lesser-known/unreported chemicals important to characterize human exposures.

Indexed as

ExposomeTandem Mass SpectrometryChildChromatography, LiquidFemaleHumansLiquid Chromatography-Mass SpectrometryPregnancySan FranciscoData pipelineExposomeHigh resolution mass spectrometryKendrick mass defectNon-targeted analysisPrenatal exposure

Identifiers

PMID38142008
PMCPMC10947484

What OpenQuestion holds

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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.