There are 9 clinical trials
An evaluation of the effects of genetically determined variant metabolizing and transporting proteins involved in the disposition of the immunosuppressive drug tacrolimus in renal transplant recipients. In a five year follow-up study tacrolimus dose-corrected exposure changes significantly and the effect(s) of single nucleotide polymorphisms of the CYP3A4/CYP3A5 and MDR1 genes on the latter is assessed in this study.
The effects of the CYP3A5*1, CYP3A4*1B, MDR1 G2677T/A and C3435T single nucleotide polymorphisms on the evolution of tacrolimus disposition are studied over 5 years in order to clarify the interrelationship between CYP3A5, CYP3A4 and MDR1 genotypes, time-dependent exposure and tacrolimus-related toxicity. --- G2677T ---
Thirty-two healthy volunteers will be submitted to experimental pain and on the 2 study days receive Oxycodone 20 mg po vs. placebo. Half of the volunteers will be poor metabolizers according to CYP2D6 genotype and half will be extensive metabolizers (EM) and have an enzyme with normal function. The study hypothesis is that PM will experience less pain relief than EM.
Among these are the A118G SNP in the μ-receptor gene OPRM1 and the C3435T and G2677T/A SNPs in the MDR-1 gene of P-glycoprotein. --- A118G --- --- C3435T --- --- G2677T ---
Patients undergoing surgery (thyroidectomy and hysterectomy) will postoperatively receive oxycodone intravenously (IV) as pain management with morphine as an escape medicine, if there is insufficient pain relief with oxycodone. Patients' pain and side effects will be registered and after 24 hours they will answer a questionnaire. All included patients will be genotyped accordingly to CYP2D6 and relevant single nucleotide polymorphisms (SNPs), and measures of plasma levels of oxycodone will be performed.
Among these are the A118G SNP in the μ-receptor gene OPRM1 and the C3435T and G2677T/A SNPs in the MDR-1 gene of P-glycoprotein. --- A118G --- --- C3435T --- --- G2677T ---
This interventional prospective multicenter nonrandomized clinical and epidemiological study is the first Russian study aimed at evaluating the effectiveness of a single-lead electrocardiography device (CardioQVARK) in screening for atrial fibrillation in primary health care.
For new oral anticoagulants - rs2244613 of the gene CES1, rs1045642 (C3435T), rs1128503 (C1236T), rs2032582 (G2677T / А) of the gene ABCB1, rs2231142 (С421А, Q141K) of the gene ABCG2, rs776746 (A6986G * 399 CYP3 CYP3) CYP3A4.. Inclusion Criteria: Men and women aged 18 to 96 years who have one or more of the following risk factors: - hypertonic disease - history of ischemic stroke or transient ischemic attacks - type 1 and type 2 diabetes - 1-3 degrees obesity - heart failure or the presence of a clinic to reduce exercise tolerance associated with shortness of breath - coronary heart disease or the presence of symptoms of chest pain, in the absence of an established diagnosis of coronary heart disease - the presence of peripheral arterial atherosclerosis - the presence of a clinic of interruptions in the work of the heart (bouts of rapid, irregular heartbeats, pauses in work of heart) Non-inclusion criteria: - Acute coronary syndrome - Acute ischemic or hemorrhagic stroke - Acute psychosis - The presence of severe concomitant diseases with an expected life expectancy of less than 2 years Exclusion Criteria: Refusal of further participation in the study Inclusion Criteria: Men and women aged 18 to 96 years who have one or more of the following risk factors: - hypertonic disease - history of ischemic stroke or transient ischemic attacks - type 1 and type 2 diabetes - 1-3 degrees obesity - heart failure or the presence of a clinic to reduce exercise tolerance associated with shortness of breath - coronary heart disease or the presence of symptoms of chest pain, in the absence of an established diagnosis of coronary heart disease - the presence of peripheral arterial atherosclerosis - the presence of a clinic of interruptions in the work of the heart (bouts of rapid, irregular heartbeats, pauses in work of heart) Non-inclusion criteria: - Acute coronary syndrome - Acute ischemic or hemorrhagic stroke - Acute psychosis - The presence of severe concomitant diseases with an expected life expectancy of less than 2 years Exclusion Criteria: Refusal of further participation in the study Atrial Fibrillation Atrial Fibrillation This is an interventional, prospective, multicenter, nonrandomized clinical and epidemiological study. --- C3435T --- --- C1236T --- --- G2677T ---
Description: Total number of AF cases newly diagnosed during the study period.
Measure: Total number of AF cases newly diagnosed during the study period. Time: Through study completion, an average of 1 yearDescription: Number of patients who, for the first time ever, were assigned to anticoagulation therapy.
Measure: Number of patients who, for the first time ever, were assigned to anticoagulation therapy. Time: Through study completion, an average of 1 yearDescription: Assessed using data obtained from pharmacokinetic analysis. International normalised ratio (INR) - target range from 2 to 3.
Measure: Compliance to anticoagulation therapy for warfarin. Time: 6 months after administration of anticoagulantsDescription: Assessed using data obtained from pharmacokinetic analysis. Quantitative determination of the concentration of drugs in the blood (blood sampling three hours after taking the drug).
Measure: Compliance to anticoagulation therapy for new oral anticoagulants. Time: 6 months after administration of anticoagulantsDescription: Evaluated as incremental cost-effectiveness ratio of screening per quality adjusted life year gained, and per stroke avoided.
Measure: Cost-effectiveness of using the single-lead CardioQVARK ECG device in screening for AF in primary health care. Time: Through study completion, an average of 1 yearDescription: Mean time to diagnosis.
Measure: Mean time to diagnosis. Time: Through study completion, an average of 1 yearDescription: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 1.
Measure: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 1. Time: Through study completion, an average of 1 yearDescription: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 2.
Measure: Number of patients with a CHA₂DS₂-VASc score (the CHA2DS2-VASc Score is the most commonly utilized method to predict thromboembolic risk in atrial fibrillation) of ≥ 2. Time: Through study completion, an average of 1 yearDescription: Defined as frequency of ischemic stroke or transient ischemic attack in patients with newly diagnosed AF and assigned anticoagulants.
Measure: Incidence of ischemic stroke or transient ischemic attack after enrollment in the study. Time: Through study completion, an average of 1 yearDescription: Defined as frequency of massive hemorrhage in patients with newly diagnosed AF and assigned anticoagulants.
Measure: Incidence of massive hemorrhage after enrollment in the study. Time: Through study completion, an average of 1 yearDescription: Defined as frequency of hemorrhagic stroke in patients with newly diagnosed AF and assigned anticoagulants.
Measure: Incidence of hemorrhagic stroke after enrollment in the study. Time: Through study completion, an average of 1 yearDescription: For warfarin - CYP2C9 (CYP2C9 * 2, CYP2C9 * 3), VKORC1 (1 marker), CYP4F2 (1 marker), GGCX (1 marker). For new oral anticoagulants - rs2244613 of the gene CES1, rs1045642 (C3435T), rs1128503 (C1236T), rs2032582 (G2677T / А) of the gene ABCB1, rs2231142 (С421А, Q141K) of the gene ABCG2, rs776746 (A6986G * 399 CYP3 CYP3) CYP3A4.
Measure: Pharmacogenetic testing by polymorphic markers Time: 6 months after administration of anticoagulantsTo modeling the pharmacokinetic-pharmacodynamic(PK-PD) simulation with the plasma concentration and the transporter occupancy from OCD patients treated with escitalopram. To examine the effect of G2677T/A single nucleotide polymorphism(SNP) of ABCB1 gene to the PK-PD modeling in OCD patients treated with escitalopram.
To examine the effect of G2677T/A single nucleotide polymorphism(SNP) of ABCB1 gene to the PK-PD modeling in OCD patients treated with escitalopram. --- G2677T ---
To genotype G2677T/A SNP of ABCB1 gene in OCD patients treated with escitalopram. --- G2677T ---
Description: scale for the severity of Obsessive-compulsive symptoms
Measure: Yale-Brown Obsessive Compulsive Scale(Y-BOCS) Score Time: baselineDescription: serotonin transporter occupancy measured at 5 hour and 24 hour after oral dose of escitalopram
Measure: serotonin transporter occupancy Time: within the first 24hrs after oral administration of escitalopramDescription: plasma concentration of escitalopram at baseline, 1, 2, 3, 5, 8, 10, 24, 48, 72 hour after oral dose of escitalopram
Measure: escitalopram plasma concentration Time: within 72 hours after oral administration of escitalopramDabigatran (Pradaxa ®) is a new oral anticoagulant. It is used to prevent venous thromboembolism in orthopedic surgery and has recently demonstrated efficacy and safety at least as good as anticoagulants in the prevention of thromboembolism in atrial fibrillation and the treatment of venous thromboembolism. It is administered with fixed dose and does not require laboratory monitoring because of the low inter and intra individual pharmacokinetic (PK) and pharmacodynamics (PD) of dabigatran. However, the bioavailability of dabigatran is very low (6.5%) and is controlled by an efflux protein, P-GP. This molecule has a genetic polymorphism. The inhibition of this protein can cause a significant increase in intestinal absorption of dabigatran and expose patients to a risk of bleeding by overdose. Two major drug interactions have been identified : quinidine (cons-indication) and amiodarone (precautions). It is likely that other interactions exist and can be clinically significant in patients not selected such as testing. The development of tools to study the influence of P-GP on the PK and PD of dabigatran is therefore interesting. As the P-GP has a genetic polymorphism, the study of the latter is an important element in the detection of drug interactions. In this sense, clarithromycin, a potent inhibitor of P-GP is a good model to evaluate the primary mechanism of drug interaction of dabigatran and optimize the experimental design of studies to be conducted.
Genotyping of MDR-1 (gene for P-GP): C3435T SNP of exon 26, SNP G2677T / A of exon 21 and C1236T SNP of exon 12. Inclusion Criteria: - affiliated or beneficiary of a social security category - having signed the inform consent form - having signed the genetic consent form - weight between 60 and 85 kg - normal clinical exam - normal biological exam Exclusion Criteria: - contra-indication to dabigatran - contra-indication to clarithromycin - previous history of psychiatric disease, or antidepressant treatment, or convulsion, or hemorrhagic disease - smoker - peptic ulcer - severe liver disease - severe kidney failure - previous surgery within one month Inclusion Criteria: - affiliated or beneficiary of a social security category - having signed the inform consent form - having signed the genetic consent form - weight between 60 and 85 kg - normal clinical exam - normal biological exam Exclusion Criteria: - contra-indication to dabigatran - contra-indication to clarithromycin - previous history of psychiatric disease, or antidepressant treatment, or convulsion, or hemorrhagic disease - smoker - peptic ulcer - severe liver disease - severe kidney failure - previous surgery within one month Healthy null --- C3435T --- --- G2677T ---
Description: Calculating the area under the curve (AUC) from plasma concentrations of dabigatran versus time by the trapezoidal method. Determination of maximum concentration (Cmax)
Measure: Determination of dabigatran and its metabolites in plasma by LC/MS-MS method Time: At Day 4 and Day 11Description: Measures activated Partial Thromboplastin Time (aPTT)and measures ECarin Time (ECT),
Measure: Pharmacodynamic parameters Time: At Day 4 and Day 11Description: Genotyping of MDR-1 (gene for P-GP): C3435T SNP of exon 26, SNP G2677T / A of exon 21 and C1236T SNP of exon 12
Measure: Genotyping Time: At Day 1Ciclosporin inhibits P-glycoprotein should increase colchicine bioavailability whereas tacrolimus should not influence colchicine disposition. This is a prospective, controlled, open labeled study performed in renal graft recipients comparing colchicine single dose (1mg) pharmacokinetics in 14 patients treated with tacrolimus and 14 patients treated with cyclosporin.
ABCB1 Haplotypes composed of 3 SNPs: C3435T, G2677T / A and C1236T.. null. --- C3435T --- --- G2677T ---
Dosing methods for digoxin, a drug used to treat heart failure, have not been updated in decades despite evidence in recent years suggesting that blood levels of digoxin achieved with traditional dosing practices may increase the risk of adverse events. We developed a simple dosing tool that targets lower blood levels of digoxin that have been associated with improved outcomes compared to higher blood levels. The aim of this study is to determine if this simplified dosing tool is more effective than standard digoxin dosing practices at achieving lower blood levels and also to determine if digoxin dosing may be further optimized by incorporating patients' genetic information believed to influence the drug's properties.
Serum Digoxin Concentration by ABCB1 SNP G2677T/A. --- G2677T ---
Description: 55 patients in the Digoxin Dosing per Nomogram group consented to the Pharmacogenetic substudy and provided blood samples to perform pharmacogenetic analyses. We compared serum digoxin concentrations by ABCB1 genotype.
Measure: Serum Digoxin Concentration by ABCB1 Single Nucleotide Polymorphism (SNP) C1236T Time: Steady-state (2 - 4 weeks after initiation)Description: Serum digoxin concentration by genotypes for the ABCB1 SNP C3435T
Measure: Serum Digoxin Concentration by ABCB1 SNP C3435T Time: Steady-state (2 - 4 weeks after initiation)Description: Serum digoxin concentration by ABCB1 SNP genotypes
Measure: Serum Digoxin Concentration by ABCB1 SNP G2677T/A Time: Steady-state (2 - 4 weeks after initiation)Solid organ transplant recipients would greatly benefit from pharmacogenetic evaluation since immunosuppressive drug regimens consist of multiple medications with narrow therapeutic ranges and toxic adverse event profiles. Tacrolimus is a potent immunosuppressive agent utilized for rejection prophylaxis. Intensive pharmacokinetic monitoring must be performed following organ transplantation to ensure therapeutic drug concentrations due to its highly variable pharmacokinetics profile and narrow therapeutic index. Tacrolimus is a substrate for CYP450 3A and for the membrane transporter p-glycoprotein (Pgp). Polymorphisms in the gene encoding for CYP3A5 have been extensively studied and have been found to influence the dosing of tacrolimus. The effect of ABCB1 gene polymorphisms (which encodes for Pgp) upon tacrolimus pharmacokinetics has been more difficult to establish. This study will determine if haplotypes derived from three frequent polymorphisms in the ABCB1 gene (C1236T, G2677T, C3435T) can predict the degree of drug interaction between tacrolimus (CYP3A5/Pgp substrate) and ketoconazole (CYP3A5/Pgp inhibitor) in patients who are CYP3A5 nonexpressors. This prospective pharmacokinetic and pharmacogenomic study will enroll 20 stable renal transplant recipients with the CYP3A5 *3/*3 genotype and grouped by ABCB1 haplotype (CGC vs TTT). Pharmacokinetics of tacrolimus will be assessed on 2 occasions with and without ketoconazole coadministration separated by 1 week. The order of study occasions will be randomized in a crossover design. The results of this study may identify a genomic marker for predicting drug-drug interactions. Knowing this information a priori will aid clinicians in modifying drug dosing and alleviate patients of the burden of significant drug toxicities.
This study will determine if haplotypes derived from three frequent polymorphisms in the ABCB1 gene (C1236T, G2677T, C3435T) can predict the degree of drug interaction between tacrolimus (CYP3A5/Pgp substrate) and ketoconazole (CYP3A5/Pgp inhibitor) in patients who are CYP3A5 nonexpressors. --- C1236T --- --- G2677T ---
Description: Tac bioavailability alone vs. Tac bioavailability with Keto. To determine F we took the ratio of area under the curve of the oral dose divided by the area under the curve of the IV dose. F was determined by fitting a model that considered the plasma concentration of tac with IV vs. oral dosing.
Measure: Tacrolimus Bioavailability (F) Time: baseline and 2 weeks