Evidence map›Paper›PMID 33548296›Full record

ArticleEnvironmental research2021

Metabolomics analysis of maternal serum exposed to high air pollution during pregnancy and risk of autism spectrum disorder in offspring.

Ja Hyeong Kim, Qi Yan, Karan Uppal, Xin Cui, Chenxiao Ling, Douglas I Walker, Julia E Heck, Ondine S von Ehrenstein, Dean P Jones, Beate Ritz

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Ja Hyeong KimDepartment of Pediatrics, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, 44033, South Korea. Electronic address: jahyungk@uuh.ulsan.kr.
Qi YanDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA. Electronic address: qyan@ucla.edu.
Karan UppalComputational Systems Medicine & Metabolomics Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, 30322, USA. Electronic address: kuppal2@emory.edu.
Xin CuiDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine and Lucile Packard Children's Hospital, Palo Alto, CA, 94304, USA; California Perinatal Quality Care Collaborative, Palo Alto, CA, 94305, USA. Electronic address: xincuix@stanford.edu.
Chenxiao LingDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA. Electronic address: lingcx@ucla.edu.
Douglas I WalkerDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. Electronic address: douglas.walker@mssm.edu.
Julia E HeckDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA. Electronic address: jeheck@ucla.edu.
Ondine S von EhrensteinDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Department of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA. Electronic address: ovehren@ucla.edu.
Dean P JonesClinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, 30322, USA. Electronic address: dpjones@emory.edu.
Beate RitzDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Department of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA. Electronic address: britz@ucla.edu.
University of California, Los Angeles · USEmory University · USIcahn School of Medicine at Mount Sinai · USLucile Packard Children's Hospital · USUlsan College · KR

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
Air Pollution and Adverse Birth OutcomesR01ES010960 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R · 2001 to 2004
$921k
Autism Metabolomics and Environment (AIME)R21ES025573 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2015 to 2016
$436k
NICHD NIH HHS P2C HD041022NIEHS NIH HHS R01 ES010960NIEHS NIH HHS R21 ES025573
6 · The paper itself

Abstract

backgroundPreviously, numerous epidemiologic studies reported an association between autism spectrum disorder (ASD) and exposure to air pollution during pregnancy. However, there have been no metabolomics studies investigating the impact of pregnancy pollution exposure to ASD risk in offspring.

objectivesTo identify differences in maternal metabolism that may reflect a biological response to exposure to high air pollution in pregnancies of offspring who later did or did not develop ASD.

methodsWe obtained stored mid-pregnancy serum from 214 mothers who lived in California's Central Valley and experienced the highest levels of air pollution during early pregnancy. We estimated each woman's average traffic-related air pollution exposure (carbon monoxide, nitric oxides, and particulate matter <2.5 μm) during the first trimester using the California Line Source Dispersion Model, version 4 (CALINE4). By utilizing liquid chromatography-high resolution mass spectrometry, we identified the metabolic profiles of maternal serum for 116 mothers with offspring who later developed ASD and 98 control mothers. Partial least squares discriminant analysis (PLS-DA) was employed to select metabolic features associated with air pollution exposure or autism risk in offspring. We also conducted extensive pathway enrichment analysis to elucidate potential ASD-related changes in the metabolome of pregnant women.

resultsWe extracted 4022 and 4945 metabolic features from maternal serum samples in hydrophilic interaction (HILIC) chromatography (positive ion mode) and C18 (negative ion mode) columns, respectively. After controlling for potential confounders, we identified 167 and 222 discriminative features (HILIC and C18, respectively). Pathway enrichment analysis to discriminate metabolic features associated with ASD risk indicated various metabolic pathway perturbations linked to the tricarboxylic acid (TCA) cycle and mitochondrial function, including carnitine shuttle, amino acid metabolism, bile acid metabolism, and vitamin A metabolism.

conclusionUsing high resolution metabolomics, we identified several metabolic pathways disturbed in mothers with ASD offspring among women experiencing high exposure to traffic-related air pollution during pregnancy that were associated with mitochondrial dysfunction. These findings provide us with a better understanding of metabolic disturbances involved in the development of ASD under adverse environmental conditions.

Indexed as

Air PollutantsAir PollutionAutism Spectrum DisorderTraffic-Related PollutionFemaleHumansMaternal ExposureMetabolomicsPregnancyAir PollutantsAir pollution exposureAutism spectrum disorder (ASD)MetabolomicsMitochondriaPregnancy

Identifiers

PMID33548296
PMCPMC9059845
OpenAlexW3129003822

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Registered trials

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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.