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Correlations of Gene Expression with Blood Lead Levels in Children with Autism Compared to Typically Developing Controls

Overview of attention for article published in Neurotoxicity Research, November 2009
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Title
Correlations of Gene Expression with Blood Lead Levels in Children with Autism Compared to Typically Developing Controls
Published in
Neurotoxicity Research, November 2009
DOI 10.1007/s12640-009-9126-x
Pubmed ID
Authors

Yingfang Tian, Peter G. Green, Boryana Stamova, Irva Hertz-Picciotto, Isaac N. Pessah, Robin Hansen, Xiaowei Yang, Jeffrey P. Gregg, Paul Ashwood, Glen Jickling, Judy Van de Water, Frank R. Sharp

Abstract

The objective of this study was to examine the correlation between gene expression and lead (Pb) levels in blood in children with autism (AU, n = 37) compared to typically developing controls (TD, n = 15). We postulated that, though lead levels did not differ between the groups, AU children might metabolize lead differently compared to TD children. RNA was isolated from blood and processed on Affymetrix microarrays. Separate analyses of covariance (ANCOVA) corrected for age and gender were performed for TD, AU, and all subjects (AU + TD). To reduce false positives, only genes that overlapped these three ANCOVAs were considered. Thus, 48 probe sets correlated with lead levels in both AU and TD subjects and were significantly different between the groups (p(Diagnosis x log₂Pb) < 0.05). These genes were related mainly to immune and inflammatory processes, including MHC Class II family members and CD74. A large number (n = 791) of probe sets correlated (P ≤ 0.05) with lead levels in TD but not in AU subjects; and many probe sets (n = 162) correlated (P ≤ 0.05) with lead levels in AU but not in TD subjects. Only 30 probe sets correlated (P ≤ 0.05) with lead levels in a similar manner in the AU and TD groups. These data show that AU and TD children display different associations between transcript levels and low levels of lead. We postulate that this may relate to the underlying genetic differences between the two groups, though other explanations cannot be excluded.

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Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
United States 2 2%
Israel 1 <1%
Unknown 100 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Ph. D. Student 14 13%
Student > Master 11 10%
Professor > Associate Professor 7 7%
Other 7 7%
Other 21 20%
Unknown 24 23%
Readers by discipline Count As %
Medicine and Dentistry 23 22%
Agricultural and Biological Sciences 13 12%
Biochemistry, Genetics and Molecular Biology 7 7%
Neuroscience 6 6%
Nursing and Health Professions 5 5%
Other 16 15%
Unknown 35 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2015.
All research outputs
#18,387,239
of 22,775,504 outputs
Outputs from Neurotoxicity Research
#631
of 874 outputs
Outputs of similar age
#152,105
of 165,696 outputs
Outputs of similar age from Neurotoxicity Research
#4
of 5 outputs
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