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      The impact of genetic polymorphisms on CYP1A2 activity in humans: a systematic review and meta-analysis

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          Abstract

          A large interindividual variation in the activity of cytochrome P450 1A2 (CYP1A2) raises concern about therapeutic failure or toxicity when medical professionals prescribe drugs extensively metabolized by CYP1A2. To date, a number of studies have assessed the association between genetic polymorphisms and CYP1A2 activity; however, there are controversies as to the functional importance of CYP1A2 polymorphisms on the metabolism of CYP1A2 substrates. This systematic review and meta-analysis assessed the effects of genetic polymorphisms on CYP1A2 activity, as measured by caffeine metabolism, in a total of 3570 individual subjects. Higher enzyme activity was observed among those who were homozygous or heterozygous for the -163C>A polymorphism (rs762551), when compared to the wild-type individuals (SMD = 0.40, 95%CI = 0.12-0.68, p = 0.005; SMD = 0.32, 95%CI = 0.11-0.54, p = 0.003, respectively) and this was more pronounced among smokers (SMD = 0.92, 95%CI = 0.27-1.57, p = 0.005; SMD = 0.56, 95%CI = 0.22-0.90, p = 0.001, respectively). For other CYP1A2 polymorphisms, altered caffeine metabolic ratios were not seen. Our results indicate the functional importance of -163C>A polymorphism on CYP1A2 inducibility in humans.

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          Most cited references39

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          Functional significance of a C-->A polymorphism in intron 1 of the cytochrome P450 CYP1A2 gene tested with caffeine.

          The cytochrome P450 enzyme CYP1A2 metabolises several drugs and carcinogens. We wanted to determine how much of the variability of CYP1A2 activity is explained by a newly discovered gene polymorphism in intron 1. A single nucleotide polymorphism in intron 1 of the CYP1A2 gene at position 734 downstream of the first transcribed nucleotide was identified by DNA sequence analysis. The functional significance of this C/A polymorphism was assessed in 185 healthy Caucasian non-smokers and in 51 smokers by genotyping and phenotyping using caffeine (100 mg oral dose). Out of the total sample, 46% were homozygous for the variant A, 44% were heterozygous, and 10% were homozygous for the variant C. The ratio of 1,7-dimethylxanthine (17X) plus 1,7-dimethyluric acid divided by caffeine in 0-5 h urine samples from 185 non-smokers did not differ significantly between the three CYP1A2 genotypes. In the 51 smokers, analysis of variance revealed significant differences in the 5 h plasma 17X/caffeine ratios between the genotypes (P=0.008, F-test). The mean ratio was 1.37 in carriers of the A/A genotype, 0.88 in heterozygotes and 0.82 in carriers of C/C. The mean difference between the A/A and C/A groups was 0.48 (95% confidence interval 0. 15-0.81; P=0.01). The A/A genotype, which may represent a CYP1A2 high inducibility genotype, may either be a direct cause of increased CYP1A2 activity, or be genetically linked to polymorphisms conferring high inducibility. Further studies are needed to define the role of this polymorphism on the pharmacokinetics of drugs metabolised by CYP1A2 and in the activation of carcinogens.
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            Genetics of caffeine consumption and responses to caffeine.

            Caffeine is widely consumed in foods and beverages and is also used for a variety of medical purposes. Despite its widespread use, relatively little is understood regarding how genetics affects consumption, acute response, or the long-term effects of caffeine. This paper reviews the literature on the genetics of caffeine from the following: (1) twin studies comparing heritability of consumption and of caffeine-related traits, including withdrawal symptoms, caffeine-induced insomnia, and anxiety, (2) association studies linking genetic polymorphisms of metabolic enzymes and target receptors to variations in caffeine response, and (3) case-control and prospective studies examining relationship between polymorphisms associated with variations in caffeine response to risks of Parkinson's and cardiovascular diseases in habitual caffeine consumers. Twin studies find the heritability of caffeine-related traits to range between 0.36 and 0.58. Analysis of polysubstance use shows that predisposition to caffeine use is highly specific to caffeine itself and shares little common disposition to use of other substances. Genome association studies link variations in adenosine and dopamine receptors to caffeine-induced anxiety and sleep disturbances. Polymorphism in the metabolic enzyme cytochrome P-450 is associated with risk of myocardial infarction in caffeine users. Modeling based on twin studies reveals that genetics plays a role in individual variability in caffeine consumption and in the direct effects of caffeine. Both pharmacodynamic and pharmacokinetic polymorphisms have been linked to variation in response to caffeine. These studies may help guide future research in the role of genetics in modulating the acute and chronic effects of caffeine.
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              Variation in CYP1A2 activity and its clinical implications: influence of environmental factors and genetic polymorphisms.

              CYP1A2 is involved in the metabolism of several widely used drugs and endogenous compounds, and in the activation of procarcinogens. Both genetic and environmental factors influence the activity of this enzyme. The current knowledge regarding factors influencing the activity of CYP1A2 is summarized in this review. Substrates, inhibitors and inducers of CYP1A2 activity, as well as phenotyping probes, are discussed. The functional significance and clinical importance of CYP1A2 gene polymorphisms are reviewed and interethnic differences in the distribution of CYP1A2 variant alleles and haplotypes are summarized. Finally, future perspectives for the possible clinical applications of CYP1A2 genotyping are discussed.
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                Author and article information

                Journal
                The Pharmacogenomics Journal
                Pharmacogenomics J
                Springer Nature
                1470-269X
                1473-1150
                December 2017
                :
                :
                Article
                10.1038/s41397-017-0011-3
                29282363
                e01f1bed-99c3-4b10-8d66-010c1d6d15b1
                History

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