Literature DB >> 16321621

The role of common variants of ABCB1, CYP3A4, and CYP3A5 genes in lipid-lowering efficacy and safety of simvastatin treatment.

Marilu Fiegenbaum1, Fabiano R da Silveira, Cézar R Van der Sand, Luiz Carlos Van der Sand, Maria E W Ferreira, Renan C Pires, Mara H Hutz.   

Abstract

OBJECTIVE: Our objective was to investigate the interactions between common polymorphisms in ABCB1, CYP3A4, and CYP3A5 genes and the lipid-lowering efficacy and safety of the 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitor simvastatin.
METHODS: One hundred sixteen hypercholesterolemic patients were prospectively screened by physical examination, medical history, and clinical laboratory evaluation and were included in this study. Subjects entering the study were treated with 20 mg/d simvastatin. Plasma lipid and lipoprotein levels were measured before treatment, after 2 months of treatment, and after 6 months of treatment. Ninety-nine patients completed the 6-month follow-up and were included in the association analysis for treatment efficacy. Seventeen subjects who had adverse drug reactions (ADRs) to simvastatin (ADR group) could not complete the 6-month follow-up and were included in the association analyses for safety. Myalgia was observed in 15 of 17 subjects and was the only ADR included in the association analyses, but other common ADRs were also observed. Myalgia was defined as proximal or diffuse muscle pain, tenderness, or weakness, or both pain and weakness, with normal or slightly increased serum creatine phosphokinase levels. ABCB1 (1236C>T, 2677G>A/T, and 3435C>T), CYP3A4 (-392A>G), and CYP3A5 (6986A>G) allele variants were determined by polymerase chain reaction and restriction mapping.
RESULTS: After adjustment for covariates, carriers of the ABCB1 1236T variant allele had a greater reduction in total cholesterol and low-density lipoprotein cholesterol with simvastatin treatment, as compared with homozygotes with the wild-type allele (-29.0% [95% confidence interval (CI), -25.9 to -32.5] versus -24.2% [95% CI, -19.0 to -29.3] [P = .042] and -39.6% [95% CI, -35.8 to -44.0] versus -33.8% [95% CI, -27.4 to -40.2] [P = .042], respectively). Similar results were observed for the 2677G>A/T polymorphism and haplotype data. The 1236T, 2677non-G, and 3435T alleles were less frequent in ADR cases than in the non-ADR group (P < .05 for all single-nucleotide polymorphisms). Haplotype analyses also demonstrated a reduction of the T-non-G-T haplotype frequency (20%) in patients in whom myalgia developed during simvastatin treatment, as compared with the non-ADR group (41.4%) (P = .03). No significant associations were observed between the CYP3A4 -392A>G and CYP3A5*3 allele variants and the efficacy or tolerability of simvastatin.
CONCLUSIONS: Our data suggest an association of ABCB1 gene polymorphisms and the efficacy and safety of simvastatin.

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Year:  2005        PMID: 16321621     DOI: 10.1016/j.clpt.2005.08.003

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  58 in total

1.  Effect of ABCB1 haplotypes on the pharmacokinetics and renin-inhibiting effect of aliskiren.

Authors:  Tuija Tapaninen; Pertti J Neuvonen; Mikko Niemi
Journal:  Eur J Clin Pharmacol       Date:  2010-05-23       Impact factor: 2.953

2.  Predictive pharmacogenetic biomarkers for breast cancer recurrence prevention by simvastatin.

Authors:  Thomas P Ahern; Per Damkier; Søren Feddersen; Anders Kjærsgaard; Timothy L Lash; Stephen Hamilton-Dutoit; Cathrine Bredal Lythjohan; Bent Ejlertsen; Peer M Christiansen; Deirdre P Cronin-Fenton
Journal:  Acta Oncol       Date:  2020-04-30       Impact factor: 4.089

Review 3.  Identifying genetic risk factors for serious adverse drug reactions: current progress and challenges.

Authors:  Russell A Wilke; Debbie W Lin; Dan M Roden; Paul B Watkins; David Flockhart; Issam Zineh; Kathleen M Giacomini; Ronald M Krauss
Journal:  Nat Rev Drug Discov       Date:  2007-11       Impact factor: 84.694

Review 4.  Can modulators of apolipoproteinB biogenesis serve as an alternate target for cholesterol-lowering drugs?

Authors:  Lynley M Doonan; Edward A Fisher; Jeffrey L Brodsky
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2018-04-06       Impact factor: 4.698

5.  No significant effect of ABCB1 haplotypes on the pharmacokinetics of fluvastatin, pravastatin, lovastatin, and rosuvastatin.

Authors:  Jenni E Keskitalo; Kaisa J Kurkinen; Mikko Neuvonen; Janne T Backman; Pertti J Neuvonen; Mikko Niemi
Journal:  Br J Clin Pharmacol       Date:  2009-08       Impact factor: 4.335

6.  Genealogical analysis as a new approach for the investigation of drug intolerance heritability.

Authors:  Marc Tremblay; Tarek Bouhali; Daniel Gaudet; Diane Brisson
Journal:  Eur J Hum Genet       Date:  2013-11-27       Impact factor: 4.246

7.  [Pharmacogenomic Biomarkers for the Prediction of Statin Efficacy and Safety].

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

8.  Lack of association of the p450 oxidoreductase *28 single nucleotide polymorphism with the lipid-lowering effect of statins in hypercholesterolemic patients.

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

9.  Pharmacogenomic insights into treatment and management of statin-induced myopathy.

Authors:  Bas Jm Peters; Olaf H Klungel; Frank L Visseren; Anthonius de Boer; Anke-Hilse Maitland-van der Zee
Journal:  Genome Med       Date:  2009-12-29       Impact factor: 11.117

10.  Harvesting candidate genes responsible for serious adverse drug reactions from a chemical-protein interactome.

Authors:  Lun Yang; Jian Chen; Lin He
Journal:  PLoS Comput Biol       Date:  2009-07-24       Impact factor: 4.475

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