Evidence map›Paper›PMID 40929749›Full record

ArticleJournal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)2025

Associations between element mixtures and biomarkers of pathophysiologic pathways related to autism spectrum disorder.

Shiyu Zhang, Hao Zhou, Junfeng Jim Zhang, Tianqi Wang, Yanbo Teng, Peng-Chou Tsai, Christine Ladd-Acosta, Yan Lin, Yi Wang

Abstract read
In one paragraph

Article in Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS), 2025. 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

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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. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shiyu ZhangGlobal Health Institute & Nicholas School of the Environment, Duke University, Durham, NC, USA.
Hao ZhouDepartment of Rehabilitation, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Junfeng Jim ZhangGlobal Health Institute & Nicholas School of the Environment, Duke University, Durham, NC, USA.
Tianqi WangDepartment of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Yanbo TengGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Peng-Chou TsaiBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Christine Ladd-AcostaBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Yan LinGlobal Health Institute & Nicholas School of the Environment, Duke University, Durham, NC, USA. Electronic address: yan.lin@duke.edu.
Yi WangDepartment of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China. Electronic address: yiwang@shmu.edu.cn.

Funding

Trimester-Specific Variation in Air Quality and Risk for Autism Spectrum Disorder: A Natural ExperimentR01ES030414 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI LADD-ACOSTA, CHRISTINE, ZHANG, JUNFENG · 2019 to 2022
$1.8M
NIEHS NIH HHS R01 ES030414
6 · The paper itself

Abstract

objectiveWe previously documented that exposure to a spectrum of elements is associated with autism spectrum disorder (ASD). However, there is a lack of mechanistic understanding as to how elemental mixtures contribute to the ASD development. MATERIALS AND

methodsSerum and urinary concentrations of 26 elements and six biomarkers of ASD-relevant pathophysiologic pathways including serum HIPK 2, serum p53 protein, urine malondialdehyde (MDA), urine 8-OHdG, serum melatonin, and urine carnitine, were measured in 21 ASD cases and 21 age-matched healthy controls of children aged 6-12 years. The Mann-Whitney U test was used to compare the differences in serum elemental levels between ASD and control groups. A principal component analysis (PCA) was used to reduce the dimensionality of multiple elements into uncorrelated predictors that may capture shared patterns. Associations of PC scores with ASD risk or pathway-specific biomarkers were examined using logistic or linear regressions, respectively. Robust linear regressions were conducted to explore the association between serum and urinary elements.

resultsWe observed significantly higher serum levels of chromium, titanium, lithium, vanadium, calcium, cobalt, magnesium, and arsenic, but lower levels of cadmium and palladium in ASD children. We identified four PCs. PC1 reflects a mixture of 14 elements that were significantly elevated in ASD. PC2 reflects a mixture of elements that were significantly affected by urinary excretion. PC3 reflects a mixture of 5 elements within the 14 elements in PC1. PC4 reflects barium and palladium, both lower in ASD children. PC1 and PC2 were differentially associated with pathway-specific biomarkers. Each interquartile range (IQR) increase in PC1 was associated with increases in HIPK2 (12.96 %, 95 % CI: 3.98 %, 21.94 %) and p53 (8.34 %, 95 % CI: 0.30 %, 16.38 %), and a decrease in urinary carnitine (-24.85 %, 95 % CI: -46.36 %, -3.34 %). An IQR increase in PC2 was associated with increased urinary carnitine by 19.27 % (95 % CI: 3.08 %, 35.47 %). PC4 was not associated with any biomarkers. No PCs were associated with oxidative stress biomarkers of 8-OHdG or MDA. Additionally, increased excretion of essential elements (e.g. phosphorus, calcium, zinc) and the accumulation of metals with higher molecular weight (lead, tin, molybdenum, palladium, and bismuth) were observed in ASD group.

conclusionsIncreased levels of element mixtures of chromium, calcium, magnesium, arsenic, and antimony were associated with pro-apoptotic increases in HIPK2 and p53, whereas increased levels of cobalt, lead, and cadmium were associated with carnitine excretion. Increased urinary excretion of essential elements may contribute to ASD risk through modulating blood elemental levels. The role of oxidative stress was not observed.

Indexed as

Autism Spectrum DisorderBiomarkersTrace ElementsCase-Control StudiesChildFemaleHumansMalePrincipal Component AnalysisBiomarkersTrace ElementsAutism spectrum disorderBiomarkersCase control studyElements excretionPathway-specificSerum elements

Identifiers

PMID40929749
PMCPMC12614159

What Socratic holds

Textmetadata
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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.