INTRODUCTION: A number of previous studies examined a possible association of toxic metals and @entity2438 , and over half of those studies suggest that toxic metal levels are different in individuals with @entity72 ( @entity72 ). Additionally, several studies found that those levels correlate with the severity of @entity72 . 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 @entity1 and adults with @entity72 and 50 neurotypical controls of similar age and gender. The samples were analyzed to determine the levels of 10 urinary toxic metals (UTM). @entity2438 -related symptoms were assessed with eleven behavioral measures. Statistical analysis was used to distinguish @entity1 on the @entity72 spectrum and neurotypical @entity1 based upon the UTM data alone. The analysis also included examining the association of @entity2438 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, @entity11721 , @entity4214 , antimony) were significantly higher in the @entity72 group. However, @entity72 classification using univariate statistics proved difficult due to large variability, but nonlinear multivariate statistical analysis significantly improved @entity72 classification with Type I/II errors of 15% and 18%, respectively. These results clearly indicate that the urinary toxic metal excretion profiles of @entity1 in the @entity72 group were significantly different from those of the neurotypical @entity1 . 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, @entity2915 , and Inappropriate Speech), but significant associations were found for UTM with all eleven @entity2438 -related assessments with cross-validation R2 values ranging from 0.12-0.48.

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

@entity1 :: ('9606', 'Species') :: ['participants', 'children'] @entity11721 :: ('MESH:D014001', 'Chemical') :: ['tin'] @entity4214 :: ('MESH:D013793', 'Chemical') :: ['thallium'] @entity2438 :: ('MESH:D001321', 'Disease') :: ['autism', 'Autism'] @entity72 :: ('MESH:D002659', 'Disease') :: ['Autism Spectrum Disorders', 'ASD'] @entity2915 :: ('MESH:D006948', 'Disease') :: ['Hyperactivity']
@entity2438 :: (MESH:D001321,Disease) :: ['Autism']
