Lipid-lowering drugs, especially 3-hydroxy-3-methylglutaryl-coenzyme A inhibitors (statins), are widely used in the treatment and prevention of atherosclerotic disease. The benefits of statins are well documented. However, lipid-lowering drugs may cause myopathy, even rhabdomyolysis, the risk of which is increased by certain interactions. Simvastatin, lovastatin, and atorvastatin are metabolized by cytochrome P450 (CYP) 3A4 (simvastatin acid is also metabolized by CYP2C8); their plasma concentrations and risk of myotoxicity are greatly increased by strong inhibitors of CYP3A4 (eg, itraconazole and ritonavir). Weak or moderately potent CYP3A4 inhibitors (eg, verapamil and diltiazem) can be used cautiously with small doses of CYP3A4-dependent statins. Cerivastatin is metabolized by CYP2C8 and CYP3A4, and fluvastatin is metabolized by CYP2C9. The exposure to fluvastatin is increased by less than 2-fold by inhibitors of CYP2C9. Pravastatin, rosuvastatin, and pitavastatin are excreted mainly unchanged, and their plasma concentrations are not significantly increased by pure CYP3A4 inhibitors. Cyclosporine (INN, ciclosporin) inhibits CYP3A4, P-glycoprotein (multidrug resistance protein 1), organic anion transporting polypeptide 1B1 (OATP1B1), and some other hepatic uptake transporters. Gemfibrozil and its glucuronide inhibit CYP2C8 and OATP1B1. These effects of cyclosporine and gemfibrozil explain the increased plasma statin concentrations and, together with pharmacodynamic factors, the increased risk of myotoxicity when coadministered with statins. Inhibitors of OATP1B1 may decrease the benefit/risk ratio of statins by interfering with their entry into hepatocytes, the site of action. Lipid-lowering drugs can be involved also in other interactions, including those between enzyme inducers and CYP3A4 substrate statins, as well as those between gemfibrozil and CYP2C8 substrate antidiabetics. Knowledge of the pharmacokinetic and pharmacodynamic properties of lipid-lowering drugs and their interaction mechanisms helps to avoid adverse interactions, without compromising therapeutic benefits.

This study aimed to characterize possible relationships between polymorphisms in the drug transporter genes organic anion transporting polypeptide-C (OATP-C, SLCO1B1), OATP-B (SLCO2B1), multidrug resistance-associated protein 2 (MRP2, ABCC2) and multidrug resistance transporter (MDR1, ABCB1) and the pharmacokinetics of pravastatin. We studied 41 healthy Caucasian volunteers who had previously participated in pharmacokinetic studies with pravastatin. Six volunteers had a very high pravastatin AUC value and were defined as outliers according to statistical criteria. The OATP-C gene was sequenced completely in all subjects, and they were also genotyped for selected single nucleotide polymorphisms (SNP) in the OATP-B, MDR1 and MRP2 genes. Of the six outliers, five were heterozygous for the OATP-C 521T>C (Val174Ala) SNP (allele frequency 42%) and three were heterozygous for a new SNP in the promoter region of OATP-C (-11187G>A, allele frequency 25%). Among the remaining 35 subjects, two were homozygous and six were heterozygous carriers of the 521T>C SNP (allele frequency 14%, P = 0.0384 versus outliers) and three were heterozygous carriers of the -11187G>A SNP (allele frequency 4%, P = 0.0380 versus outliers). In subjects with the -11187GA or 521TC genotype, the mean pravastatin AUC0-12 was 98% (P = 0.0061) or 106% (P = 0.0034) higher, respectively, compared to subjects with the reference genotype. These results were substantiated by haplotype analysis. In heterozygous carriers of *15B (containing the 388A>G and 521T>C variants), the mean pravastatin AUC0-12 was 93% (P = 0.024) higher compared to non-carriers and, in heterozygous carriers of *17 (containing the -11187G>A, 388A>G and 521T>C variants), it was 130% (P = 0.0053) higher compared to non-carriers. No significant associations were found between OATP-B, MRP2 or MDR1 polymorphisms and the pharmacokinetics of pravastatin. These results suggest that haplotypes are more informative in predicting the OATP-C phenotype than single SNPs.

Aims/hypothesis. Our aim was to investigate possible interactions of gemfibrozil, itraconazole, and their combination with repaglinide. Methods. In a randomised crossover study, 12 healthy volunteers received twice daily for 3 days either 600 mg gemfibrozil, 100 mg itraconazole (first dose 200 mg), both gemfibrozil and itraconazole, or placebo. On day 3 they ingested a 0.25 mg dose of repaglinide. Plasma drug and blood glucose concentrations were followed for 7 h and serum insulin and C-peptide concentrations for 3 h postdose. Results. Gemfibrozil raised the area under the plasma concentration-time curve (AUC) of repaglinide 8.1-fold (range 5.5-to 15.0-fold; p<0.001) and prolonged its half-life (t 1/2 ) from 1.3 to 3.7 h (p<0.001). Although itraconazole alone raised repaglinide AUC only 1.4-fold (1.1-to 1.9-fold; p<0.001), the gemfibrozil-itraconazole combination raised it 19.4-fold (12.9-to 24.7-fold) and prolonged the t 1/2 of repaglinide to 6.1 h (p<0.001). Plasma repaglinide concentration at 7 h was increased 28.6-fold by gemfibrozil and 70.4-fold by the gemfibrozil-itraconazole combination (p<0.001). Gemfibrozil alone and in combination with itraconazole considerably enhanced and prolonged the blood glucose-lowering effect of repaglinide; i.e., repaglinide became a long-acting and stronger antidiabetic. Conclusion/interpretation. Clinicians should be aware of this previously unrecognised and potentially hazardous interaction between gemfibrozil and repaglinide. Concomitant use of gemfibrozil and repaglinide is best avoided. If the combination is considered necessary, repaglinide dosage should be greatly reduced and blood glucose concentrations carefully monitored. [Diabetologia (2003) 46:347-351] Keywords CYP2C8, CYP3A4, drug interaction, gemfibrozil, hypoglycaemia, itraconazole, repaglinide. Corresponding author: P. J. Neuvonen, Department of Clinical Pharmacology, Helsinki University Central Hospital, P.O. Box 340, 00029, HUS, Finland E-mail: pertti.neuvonen@hus.fi Abbreviations: AUC, area under the concentration-time curve from time zero to infinity; AUC 0-7 , area under the concentration-time curve from time zero to 7 h; AUC 0-8 , area under the concentration-time curve from time zero to 8 h; C 7 , concentration at 7 h; C max , peak concentration; CYP, cytochrome P450; t max , time to peak concentration; t 1/2 , elimination halflife.