Evidence map›Paper›PMID 42045584›Full record

ArticleJournal of exposure science & environmental epidemiology2026

Newborn metabolomics linking prenatal air pollution exposure and autism spectrum disorder risk in children.

Ni Kang, Zhenchun Yang, Lauren M Petrick, Md Mostafijur Rahman, Nathan Pavlovic, Frederick W Lurmann, Mayra P Martinez, Xin Yu, Ting Chow, Sandrah P Eckel and 5 more

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Maternal Exposure to Wood-Smoke-Derived PMInternational journal of molecular sciences · 2026
    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

15 authors.

Ni KangDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Zhenchun YangDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Lauren M PetrickDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Md Mostafijur RahmanDepartment of Environmental Health Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Nathan PavlovicSonoma Technology, Inc., Petaluma, CA, USA.
Frederick W LurmannSonoma Technology, Inc., Petaluma, CA, USA.
Mayra P MartinezDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Xin YuSpatial Science Institute, University of Southern California, Los Angeles, CA, USA.
Ting ChowDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Sandrah P EckelDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jiu-Chiuan ChenDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Rob McConnellDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Anny H XiangDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Zhanghua ChenDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA. zhanghuc@usc.edu.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Translation CoreP2CES033433 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jill E Johnston · 2022 to 2026
$4.9M
The Impact of Air Pollution Exposure on COVID-19 Severity and MortalityR01ES029963 · NIEHS · KAISER FOUNDATION RESEARCH INSTITUTE · PI MCCONNELL, ROB S, XIANG, ANNY H · 2019 to 2022
$3.3M
Metabolomic Signatures Linking Air Pollution, Obesity and DiabetesR00ES027870 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, ZHANGHUA · 2019 to 2021
$747k
Effects of air pollution and gestational diabetes on autismR56ES028121 · NIEHS · KAISER FOUNDATION RESEARCH INSTITUTE · PI XIANG, ANNY H · 2017 to 2017
$250k
NIEHS NIH HHS P2C ES033433NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R00 ES027870NIEHS NIH HHS R01 ES029963NIEHS NIH HHS R56 ES028121
6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD) is a major cause of childhood disability, and prenatal exposure to fine particulate matter (PM₂.₅) and traffic-related nitrogen oxides (NOₓ) has been associated with increased ASD risk. However, the biological mechanisms linking these exposures to ASD remain poorly understood.

objectiveTo identify neonatal metabolic pathways associated with prenatal exposure to PM₂.₅ and non-freeway NOₓ and their relevance to ASD risk using untargeted metabolomics.

methodsWe conducted a matched case-control study of 50 children diagnosed with ASD before age five and 50 controls, matched on birth year, sex, race/ethnicity, and medical center, from births at Kaiser Permanente Southern California (2007-2009). Prenatal PM₂.₅ and non-freeway NOₓ exposures were estimated using high-resolution spatial models based on residential histories. Metabolomic profiling was performed on newborn dried blood spots using a dual-platform LC-MS workflow: HILIC chromatography with positive ESI and C18 reversed-phase chromatography with negative ESI. We used conditional logistic and linear regression adjusted for matching factors and key child and maternal covariates to evaluate associations among metabolomic features, ASD, and prenatal air pollution. Pathway enrichment analyses were conducted using mummichog and MetaboAnalyst.

resultsAspartate and asparagine metabolism was significantly associated with ASD (p = 0.01), and with exposure to PM₂.₅ during the first trimester and entire pregnancy (p < 0.001), and non-freeway NOₓ (p = 0.003). Glutamate, nitrogen, and sialic acid metabolism pathways were also commonly associated with both ASD and air pollution. Key metabolites-including L-asparagine, GABA (4-aminobutanoate), succinate semialdehyde, and L-glutamine-were implicated in these pathways, suggesting a link to oxidative stress and inflammation. SIGNIFICANCE: This study reveals dysregulated neonatal amino acid metabolism as a potential mechanism 49 connecting prenatal air pollution exposure to increased ASD risk. High-resolution 50 metabolomics in newborns can provide critical insights into early-life environmental 51 influences on neurodevelopment and inform future etiological research on ASD. IMPACT STATEMENT: This study demonstrates that prenatal exposure to air pollution-specifically PM₂.₅ and non-freeway traffic-related NOₓ-is associated with dysregulated neonatal amino acid metabolism detectable in newborn blood. Using untargeted metabolomics, we identified shared pathways linking these exposures and autism spectrum disorder (ASD), particularly those related to oxidative stress and inflammation. These findings suggest a potential biological mechanism connecting environmental exposures in utero with later neurodevelopmental outcomes. Our results highlight the value of newborn metabolomics as a tool for early biomarker discovery and underscore the importance of reducing prenatal air pollution exposure to support healthy brain development.

Indexed as

Air pollution exposureAutism spectrum disorderDysregulated metabolic pathwayMetabolomicsOxidative stress and inflammation

Identifiers

PMID42045584
PMCPMC13605890

What Socratic 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 Socratic graph.