Evidence map›Paper›PMID 42344583›Full record

ArticleEnvironment & health (Washington, D.C.)2026

High-Throughput Suspect Screening Reveals Widespread Pesticide Exposure in Early Childhood.

Haoduo Zhao, Yun-Chung Hsiao, Chih-Wei Liu, Emily Werder, Jake Thistle, Yifei Yang, Jiahao Feng, Xueying Wang, Jingya Peng, Taylor Teitelbaum and 2 more

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Haoduo ZhaoDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID https://orcid.org/0000-0002-6505-6350
Yun-Chung HsiaoDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Chih-Wei LiuDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID https://orcid.org/0000-0002-0823-0252
Emily WerderDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Jake ThistleDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Yifei YangDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID https://orcid.org/0000-0001-7134-3623
Jiahao FengDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID https://orcid.org/0000-0002-4124-6459
Xueying WangDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Jingya PengDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID https://orcid.org/0009-0001-1965-8270
Taylor TeitelbaumDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Stephanie M EngelDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
Kun LuDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.ORCID https://orcid.org/0000-0002-8125-2394

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
The UNC Chapel Hill Superfund Research Program (UNC-SRP)P42ES031007 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Kathleen M Gray · 2020 to 2026
$22.2M
Early Life Phthalate Exposures in Relation to Structural and Functional Brain DevelopmentR01ES033518 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Weili Lin · 2021 to 2026
$3.3M
EPA R840219NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES031007NIEHS NIH HHS R01 ES033518
6 · The paper itself

Abstract

Characterization of the human exposome, the totality of exposure, provides unprecedented insights into the role of broad environmental factors in human diseases. Environmental exposures during development periods are increasingly recognized as key determinants of long-term health outcomes, yet full-scale characterization of early life exposure remains largely underexplored. In the present study, we established a nontarget data acquisition for target analysis-based suspect screening workflow capable of screening over 1000 pesticides in a 14 min run. It was next applied to the analysis of 438 urine samples collected from 187 children to comprehensively assess their pesticide exposure landscapes. A total of 215 pesticide residues were identified, with 51 detected in at least 20% of the samples. On average, 31 pesticides were identified per child, with individual exposures ranging from 21 to 50 compounds. Significant associations were observed for detection frequencies between child age, sex, and gestational age at birth and substantial pesticide co-occurrence patterns, suggesting potential coexposure risks. In total, this study constructs a high-throughput suspect screening pipeline and reveals widespread pesticide exposure in a vulnerable subpopulation, representing significant advancements toward characterizing, deciphering, and prioritizing the human exposome.

Indexed as

Data-independent acquisition (DIA)Early life exposurePesticide exposomeSuspect screeningUrine biomonitoring

Identifiers

PMID42344583
PMCPMC13288239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.