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Effects of the adenosine deaminase polymorphism and caffeine intake on sleep parameters in a large population sample.

ABSTRACT: STUDY OBJECTIVES:To evaluate the association between the adenosine deaminase polymorphism, sleep architecture, and caffeine consumption. DESIGNS:Genetic association study. SETTING:NA. PATIENTS OR PARTICIPANTS:958 participants who underwent polysomnography and genotyping. INTERVENTIONS:NA. MEASUREMENTS AND RESULTS:Individuals carrying the A allele who consumed caffeine in the day prior to polysomnography demonstrated higher sleep efficiency and REM sleep percentage, after adjustment for potential confounders. No effect was observed in the absence of caffeine. CONCLUSIONS:Our data support the role of the ADA G22A polymorphism in sleep, and demonstrate for the first time that caffeine may act as a modulator of its functional effects. CLINICAL TRIAL INFORMATION:Name: Epidemiology of sleep disturbances among adult population of the Sao Paulo City. URL: http://www.clinicaltrials.gov/ct2/show/NCT00596713?term=NCT00596713&rank=1. Number: NCT00596713

SUBMITTER: Mazzotti DR

PROVIDER: S-EPMC3041717 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

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Effects of the adenosine deaminase polymorphism and caffeine intake on sleep parameters in a large population sample.

Mazzotti Diego Robles DR Guindalini Camila C Pellegrino Renata R Barrueco Karina Fonseca KF Santos-Silva Rogério R Bittencourt Lia Rita Azeredo LR Tufik Sergio S

Sleep 20110301 3

<h4>Study objectives</h4>To evaluate the association between the adenosine deaminase polymorphism, sleep architecture, and caffeine consumption.<h4>Designs</h4>Genetic association study.<h4>Setting</h4>NA.<h4>Patients or participants</h4>958 participants who underwent polysomnography and genotyping.<h4>Interventions</h4>NA.<h4>Measurements and results</h4>Individuals carrying the A allele who consumed caffeine in the day prior to polysomnography demonstrated higher sleep efficiency and REM sleep ...[more]

PMID: 21359089

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Project description:BackgroundCaffeine is a widely consumed psychoactive stimulant and is of epidemiologic interest. Major sources of caffeine are challenging to standardize, and the use of biomarkers is proposed as an alternative means of assessing intake.ObjectiveWe described urine caffeine and caffeine metabolite concentrations (n = 2466) and excretion rates (n = 2261) in the US population ≥6 y by age, sex, race-ethnicity, and caffeine intake (from foods, beverages, and dietary supplements).MethodsWe measured caffeine and 14 of its metabolites in spot urine samples from the cross-sectional NHANES 2009-2010 by use of LC-tandem mass spectrometry.ResultsCaffeine and its metabolites were detectable in the urine of most persons, generally at concentrations ≥1 μmol/L. Median concentrations (95% CI) ranged from 0.560 (0.497, 0.620) μmol/L to 58.6 (48.6, 67.2) μmol/L; median excretion rates from 0.423 (0.385, 0.468) nmol/min to 46.0 (40.7, 50.2) nmol/min. Urine concentrations and excretion rates for 9 analytes (caffeine, theophylline, paraxanthine, 1-methylxanthine, 1-methyluric acid, 1,3-dimethyluric acid, 1,7-dimethyluric acid, 1,3,7-trimethyluric acid, and 5-acetylamino-6-amino-3-methyluracil) had moderate correlations with caffeine intake (Spearman ρ = 0.55-0.68, P < 0.0001); the remaining analytes had low correlations (ρ = 0.15-0.33, P < 0.0001). We observed larger differences in geometric mean concentrations and excretion rates between the highest vs. lowest quartiles of caffeine intake for these 9 compounds than the rest. Consistent with dietary caffeine intake, we observed that urine concentrations and excretion rates for most compounds were significantly (P < 0.05) higher in men than women, non-Hispanic whites than Hispanics and non-Hispanic blacks, and highest in persons aged 40-59 y.ConclusionExcretion of caffeine and its metabolites in urine is common in the US population. According to the observed associations between spot urine concentrations or excretion rates with caffeine intake, several of these compounds show promise as potential biomarkers of caffeine intake.

Dataset Information

Effects of the adenosine deaminase polymorphism and caffeine intake on sleep parameters in a large population sample.

Publications

Effects of the adenosine deaminase polymorphism and caffeine intake on sleep parameters in a large population sample.

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