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Psychoactive Pharmaceuticals Induce Fish Gene Expression Profiles Associated with Human Idiopathic Autism

Overview of attention for article published in PLOS ONE, June 2012
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Title
Psychoactive Pharmaceuticals Induce Fish Gene Expression Profiles Associated with Human Idiopathic Autism
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0032917
Pubmed ID
Authors

Michael A. Thomas, Rebecca D. Klaper

Abstract

Idiopathic autism, caused by genetic susceptibility interacting with unknown environmental triggers, has increased dramatically in the past 25 years. Identifying environmental triggers has been difficult due to poorly understood pathophysiology and subjective definitions of autism. The use of antidepressants by pregnant women has been associated with autism. These and other unmetabolized psychoactive pharmaceuticals (UPPs) have also been found in drinking water from surface sources, providing another possible exposure route and raising questions about human health consequences. Here, we examined gene expression patterns of fathead minnows treated with a mixture of three psychoactive pharmaceuticals (fluoxetine, venlafaxine & carbamazepine) in dosages intended to be similar to the highest observed conservative estimates of environmental concentrations. We conducted microarray experiments examining brain tissue of fish exposed to individual pharmaceuticals and a mixture of all three. We used gene-class analysis to test for enrichment of gene sets involved with ten human neurological disorders. Only sets associated with idiopathic autism were unambiguously enriched. We found that UPPs induce autism-like gene expression patterns in fish. Our findings suggest a new potential trigger for idiopathic autism in genetically susceptible individuals involving an overlooked source of environmental contamination.

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The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Philippines 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 122 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 19%
Student > Ph. D. Student 17 13%
Student > Master 13 10%
Student > Bachelor 12 10%
Other 9 7%
Other 23 18%
Unknown 28 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 19%
Environmental Science 16 13%
Medicine and Dentistry 15 12%
Psychology 12 10%
Chemistry 7 6%
Other 25 20%
Unknown 27 21%