OBJECTIVES: CYP3A4 is involved in the oxidative metabolism of many drugs and xenobiotics including the HMG-CoA reductase inhibitor simvastatin. The objective of this study was to investigate whether a new CYP3A4 functional single nucleotide polymorphism (SNP) in intron 6 (CYP3A4*22) modifies the effect of simvastatin on total cholesterol (TOTc) or LDL cholesterol (LDLc) reduction in a population-based cohort study. METHODS: In a total of 80 incident simvastatin users, the association between the CYP3A4 intron 6 C>T SNP (rs35599367) and reduction in cholesterol levels was analyzed using linear regression analysis and adjusting for potential confounding factors. RESULTS: The CYP3A4*22 allele was associated with a trend towards a stronger simvastatin lipid-lowering response, as reflected by the greater reduction in both TOTc and LDLc levels when compared with homozygous wild type. We observed that the CYP3A4*22 allele carriers had an increased reduction in TOTc and LDLc: -0.25 mmol/l (95% confidence interval [CI(95%)]=[-0.52; 0.01], P=0.058) and -0.29 mmol/l (CI(95%)=[-0.58; 0.01], P=0.054) when compared with homozygous CC. When we adjusted the model for potential confounding factors, the corresponding reduction in TOTc was -0.31 mmol/l (CI(95%)=[-0.59;-0.04], P=0.028) and for LDLc -0.34 mmol/l (CI(95%)=[-0.66; -0.02], P=0.034) greater for CYP3A4*22 allele carriers when compared with homozygotes wild type. CONCLUSION: The CYP3A4*22 intron 6 SNP T-variant allele was associated with reduced CYP3A4 activity, resulting in a better lipid lowering response to simvastatin, when data were adjusted for confounding factors. This observation is a step towards the clarification of the reasons of interindividual variability in statins response and may potentially lead to improved tailoring of simvastatin therapy.
OBJECTIVES:CYP3A4 is involved in the oxidative metabolism of many drugs and xenobiotics including the HMG-CoA reductase inhibitor simvastatin. The objective of this study was to investigate whether a new CYP3A4 functional single nucleotide polymorphism (SNP) in intron 6 (CYP3A4*22) modifies the effect of simvastatin on total cholesterol (TOTc) or LDL cholesterol (LDLc) reduction in a population-based cohort study. METHODS: In a total of 80 incident simvastatin users, the association between the CYP3A4 intron 6 C>T SNP (rs35599367) and reduction in cholesterol levels was analyzed using linear regression analysis and adjusting for potential confounding factors. RESULTS: The CYP3A4*22 allele was associated with a trend towards a stronger simvastatinlipid-lowering response, as reflected by the greater reduction in both TOTc and LDLc levels when compared with homozygous wild type. We observed that the CYP3A4*22 allele carriers had an increased reduction in TOTc and LDLc: -0.25 mmol/l (95% confidence interval [CI(95%)]=[-0.52; 0.01], P=0.058) and -0.29 mmol/l (CI(95%)=[-0.58; 0.01], P=0.054) when compared with homozygous CC. When we adjusted the model for potential confounding factors, the corresponding reduction in TOTc was -0.31 mmol/l (CI(95%)=[-0.59;-0.04], P=0.028) and for LDLc -0.34 mmol/l (CI(95%)=[-0.66; -0.02], P=0.034) greater for CYP3A4*22 allele carriers when compared with homozygotes wild type. CONCLUSION: The CYP3A4*22 intron 6 SNP T-variant allele was associated with reduced CYP3A4 activity, resulting in a better lipid lowering response to simvastatin, when data were adjusted for confounding factors. This observation is a step towards the clarification of the reasons of interindividual variability in statins response and may potentially lead to improved tailoring of simvastatin therapy.
Authors: Thomas P Ahern; Timothy L Lash; Per Damkier; Peer M Christiansen; Deirdre P Cronin-Fenton Journal: Lancet Oncol Date: 2014-09 Impact factor: 41.316
Authors: Damiano Baldassarre; Mauro Amato; Beatrice Frigerio; Gualtiero Columbo; Philip F Binkley; Saurabh R Pandey; Adam M Suhy; Katherine Hartmann; Joseph P Kitzmiller Journal: G Ital Arterioscler Date: 2013-11
Authors: Georgia Ragia; Vana Kolovou; Anna Tavridou; Laure Elens; Alexandros D Tselepis; Moses Elisaf; Ron H N Van Schaik; Genovefa Kolovou; Vangelis G Manolopoulos Journal: Mol Diagn Ther Date: 2014-06 Impact factor: 4.074
Authors: Alison Fohner; LeeAnna I Muzquiz; Melissa A Austin; Andrea Gaedigk; Adam Gordon; Timothy Thornton; Mark J Rieder; Mark A Pershouse; Elizabeth A Putnam; Kevin Howlett; Patrick Beatty; Kenneth E Thummel; Erica L Woodahl Journal: Pharmacogenet Genomics Date: 2013-08 Impact factor: 2.089