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

AI Article Synopsis

  • Previous studies have shown that toxic metal levels are often different in individuals with Autism Spectrum Disorders (ASD), with some research suggesting a correlation between these levels and the severity of autism symptoms.
  • This paper analyzes urine samples from 67 children and adults with ASD and 50 neurotypical controls to measure levels of 10 urinary toxic metals and assesses autism-related behaviors using eleven measures, employing advanced statistical methods for analysis.
  • Findings revealed that the ASD group had significantly higher excretion levels of toxic metals like lead and tin, and advanced statistical techniques improved the classification of ASD cases and showed a stronger link between behavioral measures and metal excretion levels.

Article Abstract

Introduction: A 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.

Methods: In 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222512PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0169526PLOS

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