Evidence map›Paper›PMID 42022199›Full record

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

Prenatal Metal Exposome Reprograms Neonatal Metabolism: Trimester-Dependent Effects on Amino Acid and Carnitine Networks.

Xinning Chen, Yulian Liao, Yubing Ma, Yihui Wu, Jiajia Song, Ruixing Zhang, Shuqi Zhu, Lixia Zhang, Qi Wu, Zhigang Gao 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.

Xinning ChenDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-2670-2604
Yulian LiaoMOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Yubing MaMOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Yihui WuDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Jiajia SongDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Ruixing ZhangMOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Shuqi ZhuDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Lixia ZhangDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Qi WuDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Zhigang GaoDepartment of General Surgery, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, Zhejiang, China.
Jing LiuMOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.ORCID https://orcid.org/0000-0001-8892-036X
Zhaoxia LiangDepartment of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant women and newborns are highly vulnerable to metal exposure. However, there is limited evidence regarding how prenatal metal exposome influences newborn metabolic programming. This prospective cohort in 2022-2023 analyzed 432 mother-neonate pairs with complete biospecimens and birth records. We measured maternal urinary concentrations of 18 metals across first and third trimesters as well as neonatal metabolic biomarkers including 12 amino acids, 26 carnitines, thyroid-stimulating hormone (TSH), 17-hydroxyprogesterone (OHP), and glucose-6-phosphate dehydrogenase (G6PD). Multivariable regression, quantile g-computation, and machine learning methods were integrated to evaluate both individual and joint metal effects, with metabolic network and pathway enrichment analyses. Nine neonatal metabolites (tyrosine, glycine, leucine, free carnitine, C3, C5, C5:1, G6PD, and OHP) showed consistent trimester-specific associations with the metal mixtures. Arginine biosynthesis was the primary metal-responsive pathway. First-trimester exposure to zinc, selenium, tin, and chromium inversely correlated with gestational age at birth (β = -0.22 to -0.07;

Indexed as

amino acidscarnitineglucose-6-phosphate dehydrogenaseprenatal metal exposure

Identifiers

PMID42022199
PMCPMC13097153

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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.