Evidence map›Paper›PMID 34419469›Full record

ArticleEnvironmental research2022

Child serum metabolome and traffic-related air pollution exposure in pregnancy.

Beate Ritz, Qi Yan, Di He, Jun Wu, Douglas I Walker, Karan Uppal, Dean P Jones, Julia E Heck

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Prenatal Nitrogen Oxide (NOEnvironmental science & technology · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Air pollution, metabolites and respiratory health across the life-course.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  18. Article
  19. Article
  20. Review
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 at 5 institutions in 1 country.

Beate RitzDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA; Department of Neurology, UCLA School of Medicine, CA, USA. Electronic address: britz@ucla.edu.
Qi YanDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Di HeDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Jun WuProgram in Public Health, UCI Susan and Henry Samueli College of Health Sciences, Irvine, CA, USA.
Douglas I WalkerDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Karan UppalClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA.
Dean P JonesClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Department of Medicine, Emory University, Atlanta, GA, USA.
Julia E HeckCollege of Health and Public Service, University of North Texas, Denton, TX, USA.
UCLA Health · USEmory University · USIcahn School of Medicine at Mount Sinai · USSamueli Institute · USUniversity of North Texas · US

Funding

Air Pollution and Childhood Cancers in CaliforniaR21ES018960 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HECK, JULIA · 2010 to 2011
$421k
Pesticide Exposure and Childhood Cancer StudyR21ES019986 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2011 to 2012
$409k
Metabolomic profiling of retinoblastoma (MPR)R03CA252788 · NCI · UNIVERSITY OF NORTH TEXAS · PI HECK, JULIA · 2020 to 2020
$149k
NCI NIH HHS R03 CA252788NIEHS NIH HHS R21 ES018960NIEHS NIH HHS R21 ES019986
6 · The paper itself

Abstract

backgroundMaternal exposure to traffic-related air pollution during pregnancy has been shown to increase the risk of adverse birth outcomes and childhood disorders. High-resolution metabolomics (HRM) has previously been employed to identify metabolic responses to traffic-related air pollution in adults, including pregnant women. Thus far, no studies have examined metabolic effects of air pollution exposure in utero on neonates.

methodsWe retrieved stored neonatal blood spots for 241 children born in California between 1998 and 2007. These children were randomly selected from all California birth rolls to serve as birth-year matched controls for children with retinoblastoma identified from the California cancer registry for a case control study of childhood cancer. We estimated prenatal traffic-related air pollution exposure (particulate matter less than 2.5 μm (PM

resultsIn total we extracted 4038 and 4957 metabolite features from neonatal blood spots in hydrophilic interaction (HILIC) chromatography (positive ion mode) and C18 reverse phase columns (negative ion mode), respectively. After controlling for confounding factors, partial least square regression (Variable Importance in Projection (VIP) ≥ 2) selected 402 HILIC positive and 182 C18 negative features as statistically significantly associated with increasing third trimester PM

conclusionThe metabolite features and pathways associated with air pollution exposure in neonates suggest that maternal exposure during late pregnancy contributes to oxidative stress and inflammation in newborn children.

Indexed as

Air PollutantsAir PollutionTraffic-Related PollutionAdultCase-Control StudiesFemaleHumansInfant, NewbornMetabolomePregnancyAir PollutantsabrHigh resolution metabolomicsAir pollutionExposomeInflammationOxidative stress

Identifiers

PMID34419469
PMCPMC8926017
OpenAlexW3195287077

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.