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Adenosine Deaminase Polymorphism Affects Sleep EEG Spectral Power in a Large Epidemiological Sample

Overview of attention for article published in PLOS ONE, August 2012
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Title
Adenosine Deaminase Polymorphism Affects Sleep EEG Spectral Power in a Large Epidemiological Sample
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0044154
Pubmed ID
Authors

Diego Robles Mazzotti, Camila Guindalini, Altay Alves Lino de Souza, João Ricardo Sato, Rogério Santos-Silva, Lia Rita Azeredo Bittencourt, Sergio Tufik

Abstract

Slow wave oscillations in the electroencephalogram (EEG) during sleep may reflect both sleep need and intensity, which are implied in homeostatic regulation. Adenosine is strongly implicated in sleep homeostasis, and a single nucleotide polymorphism in the adenosine deaminase gene (ADA G22A) has been associated with deeper and more efficient sleep. The present study verified the association between the ADA G22A polymorphism and changes in sleep EEG spectral power (from C3-A2, C4-A1, O1-A2, and O2-A1 derivations) in the Epidemiologic Sleep Study (EPISONO) sample from São Paulo, Brazil. Eight-hundred individuals were subjected to full-night polysomnography and ADA G22A genotyping. Spectral analysis of the EEG was carried out in all individuals using fast Fourier transformation of the signals from each EEG electrode. The genotype groups were compared in the whole sample and in a subsample of 120 individuals matched according to ADA genotype for age, gender, body mass index, caffeine intake status, presence of sleep disturbance, and sleep-disturbing medication. When compared with homozygous GG genotype carriers, A allele carriers showed higher delta spectral power in Stage 1 and Stages 3+4 of sleep, and increased theta spectral power in Stages 1, 2 and REM sleep. These changes were seen both in the whole sample and in the matched subset. The higher EEG spectral power indicates that the sleep of individuals carrying the A allele may be more intense. Therefore, this polymorphism may be an important source of variation in sleep homeostasis in humans, through modulation of specific components of the sleep EEG.

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Geographical breakdown

Country Count As %
Korea, Republic of 1 1%
United Kingdom 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 18%
Student > Ph. D. Student 11 15%
Student > Master 9 12%
Student > Bachelor 6 8%
Student > Postgraduate 5 7%
Other 17 23%
Unknown 13 18%
Readers by discipline Count As %
Neuroscience 14 19%
Agricultural and Biological Sciences 12 16%
Medicine and Dentistry 11 15%
Psychology 7 9%
Biochemistry, Genetics and Molecular Biology 7 9%
Other 4 5%
Unknown 19 26%