Evidence map›Paper›PMID 28068407›Full record

ArticlePloS one2017

Significant Association of Urinary Toxic Metals and Autism-Related Symptoms-A Nonlinear Statistical Analysis with Cross Validation.

James Adams, Daniel P Howsmon, Uwe Kruger, Elizabeth Geis, Eva Gehn, Valeria Fimbres, Elena Pollard, Jessica Mitchell, Julie Ingram, Robert Hellmers and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Associations between element mixtures and biomarkers of pathophysiologic pathways related to autism spectrum disorder.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2025
    Article
  5. Review
  6. Review
  7. Porphyrinuria in Autism Spectrum Disorder: A Review.Current medicinal chemistry · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Toxicity of Thallium at Low Doses: A Review.International journal of environmental research and public health · 2019
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
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.

James AdamsArizona State University, Tempe, AZ, United States of America.
Daniel P HowsmonRensselaer Polytechnic Institute, Troy, NY, United States of America.ORCID http://orcid.org/0000-0002-7177-1342
Uwe KrugerRensselaer Polytechnic Institute, Troy, NY, United States of America.
Elizabeth GeisArizona State University, Tempe, AZ, United States of America.
Eva GehnArizona State University, Tempe, AZ, United States of America.
Valeria FimbresArizona State University, Tempe, AZ, United States of America.
Elena PollardArizona State University, Tempe, AZ, United States of America.
Jessica MitchellSouthwest College of Naturopathic Medicine, Tempe, AZ, United States of America.
Julie IngramArizona State University, Tempe, AZ, United States of America.
Robert HellmersArizona Allergy Associates, Phoenix, AZ, United States of America.
David QuigDoctor's Data, St. Charles, IL, United States of America.
Juergen HahnRensselaer Polytechnic Institute, Troy, NY, United States of America.

Funding

Graduate and Undergraduate Training in Biomedicine at ASUR25GM099650 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NEWFELD, STUART J · 2012 to 2015
$2.2M
NIGMS NIH HHS R25 GM099650
6 · The paper itself

Abstract

introductionA number of previous studies examined a possible association of toxic metals and autism, and over half of those studies suggest that toxic metal levels are different in individuals with Autism Spectrum Disorders (ASD). Additionally, several studies found that those levels correlate with the severity of ASD.

methodsIn order to further investigate these points, this paper performs the most detailed statistical analysis to date of a data set in this field. First morning urine samples were collected from 67 children and adults with ASD and 50 neurotypical controls of similar age and gender. The samples were analyzed to determine the levels of 10 urinary toxic metals (UTM). Autism-related symptoms were assessed with eleven behavioral measures. Statistical analysis was used to distinguish participants on the ASD spectrum and neurotypical participants based upon the UTM data alone. The analysis also included examining the association of autism severity with toxic metal excretion data using linear and nonlinear analysis. "Leave-one-out" cross-validation was used to ensure statistical independence of results. RESULTS AND DISCUSSION: Average excretion levels of several toxic metals (lead, tin, thallium, antimony) were significantly higher in the ASD group. However, ASD classification using univariate statistics proved difficult due to large variability, but nonlinear multivariate statistical analysis significantly improved ASD classification with Type I/II errors of 15% and 18%, respectively. These results clearly indicate that the urinary toxic metal excretion profiles of participants in the ASD group were significantly different from those of the neurotypical participants. Similarly, nonlinear methods determined a significantly stronger association between the behavioral measures and toxic metal excretion. The association was strongest for the Aberrant Behavior Checklist (including subscales on Irritability, Stereotypy, Hyperactivity, and Inappropriate Speech), but significant associations were found for UTM with all eleven autism-related assessments with cross-validation R2 values ranging from 0.12-0.48.

Indexed as

AdolescentAutism Spectrum DisorderBiomarkersChildChild, PreschoolFemaleHeavy Metal PoisoningHumansMaleMetals, HeavyNonlinear DynamicsPhenotypePoisoningPrincipal Component AnalysisSeverity of Illness IndexYoung AdultBiomarkersMetals, Heavy

Identifiers

PMID28068407
PMCPMC5222512

What OpenQuestion holds

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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.