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Astrocyte-Specific Disruption of SynCAM1 Signaling Results in ADHD-Like Behavioral Manifestations

Overview of attention for article published in PLOS ONE, April 2012
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Title
Astrocyte-Specific Disruption of SynCAM1 Signaling Results in ADHD-Like Behavioral Manifestations
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0036424
Pubmed ID
Authors

Ursula S. Sandau, Zefora Alderman, Gabriel Corfas, Sergio R. Ojeda, Jacob Raber

Abstract

SynCAM1 is an adhesion molecule involved in synaptic differentiation and organization. SynCAM1 is also expressed in astroglial cells where it mediates astrocyte-to astrocyte and glial-neuronal adhesive communication. In astrocytes, SynCAM1 is functionally linked to erbB4 receptors, which are involved in the control of both neuronal/glial development and mature neuronal and glial function. Here we report that mice carrying a dominant-negative form of SynCAM1 specifically targeted to astrocytes (termed GFAP-DNSynCAM1 mice) exhibit disrupted diurnal locomotor activity with enhanced and more frequent episodes of activity than control littermates during the day (when the animals are normally sleeping) accompanied by shorter periods of rest. GFAP-DNSynCAM1 mice also display high levels of basal activity in the dark period (the rodent's awake/active time) that are attenuated by the psychostimulant D,L-amphetamine, and reduced anxiety levels in response to both avoidable and unavoidable provoking stimuli. These results indicate that disruption of SynCAM1-dependent astroglial function results in behavioral abnormalities similar to those described in animals model of attention-deficit hyperactive disorder (ADHD), and suggest a hitherto unappreciated contribution of glial cells to the pathophysiology of this disorder.

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Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 1 1%
Brazil 1 1%
Unknown 67 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Bachelor 10 14%
Student > Master 9 13%
Researcher 8 11%
Professor > Associate Professor 5 7%
Other 14 20%
Unknown 15 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 21%
Neuroscience 10 14%
Biochemistry, Genetics and Molecular Biology 7 10%
Medicine and Dentistry 6 8%
Psychology 6 8%
Other 8 11%
Unknown 19 27%