Dosing algorithms for vitamin K antagonists across VKORC1 and CYP2C9 genotypes.

Essentials Prospective studies of pharmacogenetic-guided (PG) coumarin dosing produced varying results. EU-PACT acenocoumarol and phenprocoumon trials compared PG and non-PG dosing algorithms. Sub-analysis of EU-PACT identified differences between trial arms across VKORC1-CYP2C9 groups. Adjustment of the PG algorithm might lead to a higher benefit of genotyping. SUMMARY: Background The multicenter, single-blind, randomized EU-PACT trial compared the safety and efficacy of genotype-guided and non-genetic dosing algorithms for acenocoumarol and phenprocoumon in patients with atrial fibrillation or deep vein thrombosis. The trial showed no differences in the primary outcome between the two dosing strategies. Objectives To explore possible reasons for the lack of differences between trial arms by performing a secondary analysis of EU-PACT data in order to evaluate the performance of both dosing algorithms across VKORC1-CYP2C9 genetic subgroups. Patients/Methods Anticoagulation control measured according to an International Normalized Ratio (INR) below (INR of < 2), within (INR of 2-3) and above (INR of > 3) the therapeutic range was compared across VKORC1-CYP2C9 subgroups. Owing to a low number of patients in each subgroup, trials for acenocoumarol and phenprocoumon were combined for analysis. Results Four weeks after therapy initiation, genotype-guided dosing increased the mean percentage of time in the therapeutic INR range (PTIR) in the VKORC1 GG-CYP2C9*1*1 subgroup as compared with the non-genetic dosing (difference of 14.68%, 95% confidence interval [CI] 5.38-23.98). For the VKORC1 AA-CYP2C9*1*1 subgroup, there was a higher risk of under-anticoagulation with the genotype-guided algorithm (difference of 19.9%; 95% CI 11.6-28.2). Twelve weeks after therapy initiation, no statistically significant differences in anticoagulation control between trial arms were noted across the VKORC1-CYP2C9 genetic subgroups. Conclusions EU-PACT genetic-guided dose initiation algorithms for acenocoumarol and phenprocoumon could have predicted the dose overcautiously in the VKORC1 AA-CYP2C9*1*1 subgroup. Adjustment of the genotype-guided algorithm could lead to a higher benefit of genotyping.

No impact of SLCO1B1 521T>C, 388A>G and 411G>A polymorphisms on response to statin therapy in the Greek population.

Interindividual variability exists in statin lipid-lowering response, partially attributed to genetic factors. Organic anion-transporting polypeptide 1B1 (OATP1B1) encoded by SLCO1B1 gene (solute carrier organic anion transporter family member 1B1) facilitates hepatic uptake of simvastatin and atorvastatin. SLCO1B1 polymorphisms are strongly associated with statin-induced myopathy whereas few studies have assessed their effect on statin differential response. In the present study, we analyzed the association of SLCO1B1 521T>C, 388A>G and 411G>A polymorphisms with response to atorvastatin and simvastatin in 386 adults (201 atorvastatin-treated and 185 simvastatin-treated) with primary hypercholesterolemia, all of Greek origin. Total cholesterol and low-density lipoprotein cholesterol were measured at baseline and on 6 months of treatment. Genetic polymorphisms were analyzed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. A novel RFLP protocol was developed for the simultaneous identification of 388A>G and 411G>A polymorphisms. SLCO1B1 521T>C, 388A>G and 411G>A polymorphisms were not associated with lipid-lowering response to atorvastatin or simvastatin. No sex-gene or statin dose-gene interaction was observed on the effect of the analyzed SLCO1B1 polymorphisms in statin lipid lowering response in either statin-treated patient cohort. Further studies in different populations are required to draw firm conclusion on the potential association of SLCO1B1 polymorphisms with statin lipid-lowering response.

CYP2C9*2 allele increases risk for hypoglycemia in POR*1/*1 type 2 diabetic patients treated with sulfonylureas.

It is previously shown that carriers of the defective allele CYP2C9*3 that leads to impaired sulfonylurea metabolism are at increased sulfonylurea-induced hypoglycemia risk due to diminished drug metabolism, whereas no effect of CYP2C9*2 allele was found. Recently, a polymorphism in P450 oxidoreductase (POR) gene, assigned as POR*28 allele, was associated with increased CYP2C9 activity. The aim of this study was to assess i) the effect of POR*28 allele on sulfonylurea-induced hypoglycemia risk and ii) the association of CYP2C9*2 allele with hypoglycemia risk in non-carriers of POR*28 allele. The study group consisted of 176 patients with diagnosed type 2 diabetes mellitus (T2DM) treated with sulfonylureas, of whom 92 patients had experienced at least one drug-associated hypoglycemic event (cases), while 84 had never experienced a hypoglycemic event (controls). POR*28 allele was detected by use of real-time TaqMan PCR. POR*28 allele was not associated with sulfonyl-urea-induced hypoglycemia. In POR*1/*1 patients, CYP2C9*1/*2 genotype was more common in cases than in controls (32.7 vs. 14.3%, p=0.041). In a model adjusted for age, BMI, duration of T2DM and renal function, and POR*1/*1 entered as a selection variable, CYP2C9*2 allele increased the hypoglycemia risk in response to sulfonylurea (odds ratio: 3.218, p=0.031). In conclusion, our results suggest that POR*28 allele is masking the association of CYP2C9*2 allele with sulfonyl-urea-induced hypoglycemia. Therefore, POR*28 allele is an important source of CYP2C9 activity variability and combined with CYP2C9 gene poly-morphisms may explain individual variability in the effect of sulfonylureas.

Emerging targets for the treatment of dyslipidemia.

Dyslipidemia is one of the main risk factors leading to atherosclerotic cardiovascular disease (CVD). According to recent treatment guidelines, subjects at substantial risk of CVD should meet more aggressive targets for low-density lipoprotein(LDL)-cholesterol levels. Treatment with statins fails to protect a significant percentage of patients from cardiovascular events despite efficient cholesterol-lowering. Moreover, clinical and epidemiologic data highlight the need of therapies to reduce the residual cardiovascular risk associated with low high-density lipoprotein(HDL)-cholesterol and elevated triglyceride levels. There are several novel agents undergoing preclinical or clinical development for the treatment of dyslipidemia. Squalene synthase inhibitors, antisense oligonucleotides targeting the production of apolipoprotein(apo)B-100, inhibitors of proprotein convertase subtilisin/kexin type 9, microsomal triglyceride transfer protein inhibitors, peroxisome proliferator-activated receptor agonists, and thyroid hormone receptor agonists are some of the alternative approaches for lipid-lowering. Moreover, HDL-targeted therapies such as the cholesteryl ester transfer protein inhibitors, HDLderived proteins, and mimetic peptides/lipids can increase HDL-cholesterol levels or improve the antiatherosclerotic properties of HDL. In conclusion, the emergence of agents that act in monotherapy or in combination with available lipid-modifying drugs may allow more effective management of dyslipidemia and, consequently, reduce the burden of CVD.

Thr54 allele of fatty-acid binding protein 2 gene is associated with obesity but not type 2 diabetes mellitus in a Caucasian population.

AIM: The fatty acid-binding protein 2 (FABP2) A54T polymorphism has been associated with type 2 diabetes mellitus (T2DM) and obesity in many but not all studies. Our aim was to investigate possible associations of FABP2 A54T polymorphism with T2DM and/or obesity in a Greek Caucasian population. METHODS: 242 subjects with T2DM and 188 control subjects were genotyped for the FABP2 A54T polymorphism using PCR-RFLP method. Of the total subjects included in both groups, 172 were classified as obese (BMI >or= 30 kg/m(2)) and 258 were classified as nonobese (BMI <30 kg/m(2)). RESULTS: In the whole population, 218 subjects (50.7%) were genotyped as AA, 175 subjects (40.7%) as AT, and 37 subjects (8.6%) as TT for the FABP2 A54T polymorphism. According to the dominant model, the frequency of AA genotype was significantly lower in obese than in nonobese subjects (43.0% vs 55.8%, p=0.009). No significant difference was observed in genotypes between diabetic and nondiabetic subjects. According to the additive model, the presence of TT genotype was significantly associated with obesity after adjusting for age, sex, and the presence of T2DM (OR 2.32, p=0.028). CONCLUSION: FABP2 A54T polymorphism may help identify Caucasian subjects at risk for obesity.