OBJECTIVE: To analyse distributions of a urinary ratio of caffeine metabolites (MRc) representative of cytochrome P450 (CYP) 1A2 activity in a cohort of Caucasian German healthy volunteers and to re-assess the effects of smoking and oral contraceptives on the range and type of MRc distribution. METHODS: A cohort of volunteers comprising 192 individuals (96 males, 96 females) was divided into subgroups according to smoking and/or use of oral contraceptives. The CYP1A2 substrate caffeine was administered, and urine was collected for 6 h and analysed for representative caffeine metabolites. Distribution of a CYP1A2-dependent MRc was analysed using cumulative distribution (probit) plots and Rosin-Rammler-Sperling-Weibull (RRSW) functions. RESULTS: Cumulative distribution curves for males, and females, without further subgrouping for smoking habits and/or oral contraceptive steroid (OCS) consumption, showed slightly higher MRc values, i.e. slightly higher CYP1A2 activities, in males. Significantly higher MRc values were found in smokers of both sexes than in non-smokers. The distributions among female non-smokers or smokers with and without OCS were nearly super-imposible, however. For the two male subgroups, the sum of two RRSW functions resulted in a better adjustment to the data than a unimodal skewed distribution. A weak correlation between MRc and the number of cigarettes smoked per day was found. CONCLUSION: The inducing effect of smoking on CYP1A2 activity was confirmed, whereas no significant inhibitory effect of oral contraceptives was observed. The finding that the data are compatible with bimodal distributions in non-smokers suggests a significant impact of genetic factors on MRc. Among smokers, data were also compatible with bimodal distributions, i.e. with the existence of a "non-responder" phenotype concerning CYP1A2 induction by compounds present in tobacco smoke.
OBJECTIVE: To analyse distributions of a urinary ratio of caffeine metabolites (MRc) representative of cytochrome P450 (CYP) 1A2 activity in a cohort of Caucasian German healthy volunteers and to re-assess the effects of smoking and oral contraceptives on the range and type of MRc distribution. METHODS: A cohort of volunteers comprising 192 individuals (96 males, 96 females) was divided into subgroups according to smoking and/or use of oral contraceptives. The CYP1A2 substrate caffeine was administered, and urine was collected for 6 h and analysed for representative caffeine metabolites. Distribution of a CYP1A2-dependent MRc was analysed using cumulative distribution (probit) plots and Rosin-Rammler-Sperling-Weibull (RRSW) functions. RESULTS: Cumulative distribution curves for males, and females, without further subgrouping for smoking habits and/or oral contraceptive steroid (OCS) consumption, showed slightly higher MRc values, i.e. slightly higher CYP1A2 activities, in males. Significantly higher MRc values were found in smokers of both sexes than in non-smokers. The distributions among female non-smokers or smokers with and without OCS were nearly super-imposible, however. For the two male subgroups, the sum of two RRSW functions resulted in a better adjustment to the data than a unimodal skewed distribution. A weak correlation between MRc and the number of cigarettes smoked per day was found. CONCLUSION: The inducing effect of smoking on CYP1A2 activity was confirmed, whereas no significant inhibitory effect of oral contraceptives was observed. The finding that the data are compatible with bimodal distributions in non-smokers suggests a significant impact of genetic factors on MRc. Among smokers, data were also compatible with bimodal distributions, i.e. with the existence of a "non-responder" phenotype concerning CYP1A2 induction by compounds present in tobacco smoke.
Authors: M E Mooney; V I Reus; J Gorecki; S M Hall; G L Humfleet; R F Muñoz; K Delucchi Journal: Clin Pharmacol Ther Date: 2007-08-08 Impact factor: 6.875
Authors: Margreke J E Brill; Jeroen Diepstraten; Anne van Rongen; Simone van Kralingen; John N van den Anker; Catherijne A J Knibbe Journal: Clin Pharmacokinet Date: 2012-05-01 Impact factor: 6.447
Authors: Evelyn D Lobo; Michael Heathman; Han-Yi Kuan; Shobha Reddy; Lisa O'Brien; Celedon Gonzales; Michael Skinner; Mary Pat Knadler Journal: Clin Pharmacokinet Date: 2010-05 Impact factor: 6.447
Authors: Joshua E Muscat; Brian Pittman; Wayne Kleinman; Philip Lazarus; Steven D Stellman; John P Richie Journal: Biochem Pharmacol Date: 2008-07-25 Impact factor: 5.858