Effects of Genotype on CYP2C9 Drug Interactions
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Purpose
This research study will help determine how a person's genetic makeup affects their responses to drugs, the ability of the body to break down drugs, and their potential to experience an interaction between drugs. We are investigating the drug interactions between an antifungal drug called fluconazole and the commonly used drugs tolbutamide, flurbiprofen, and ketoprofen. Tolbutamide is used for management of Type 2 diabetes. Both flurbiprofen and ketoprofen are non-steroidal anti-inflammatory drugs (NSAIDs) often used for arthritis or pain. We are interested in studying whether individuals with certain genetic profiles have different drug interactions than normal. This research is being done to see if certain genetic profiles require us to adjust medication doses differently than is needed for the general population. Genetic profiles of subjects are determined from their previous participation in the Pharmacogenetics Registry (Investigator Richard Brundage, University of Minnesota).
The study hypothesis is: Fraction metabolized by CYP2C9 enzyme determines the extent of drug interactions in CYP2C9*1/*1 individuals but this factor (fraction metabolized) becomes less influential and drug interactions are attenuated in a gene-dose dependent manner in individuals with one or more defective alleles.
| Condition | Intervention |
|---|---|
|
Healthy |
Genetic: Pharmacogenetics |
| Study Type: | Observational |
| Study Design: | Observational Model: Case-Crossover Time Perspective: Prospective |
| Official Title: | Effects of Genotype on CYP2C9 Drug Interactions |
- Blood sample measurements during each study visit during the study periods will quantify the extent to which the fraction metabolized and variant genotypes interact to determine the magnitude of drug interactions. [ Time Frame: Over six 3-day study periods. ] [ Designated as safety issue: No ]
| Estimated Enrollment: | 21 |
| Study Start Date: | December 2009 |
| Estimated Study Completion Date: | June 2013 |
| Estimated Primary Completion Date: | June 2013 (Final data collection date for primary outcome measure) |
| Groups/Cohorts | Assigned Interventions |
|---|---|
|
Crossover
Three study periods for all subjects.
|
Genetic: Pharmacogenetics
Fluconazole, tolbutamide, ketoprofen, flurbiprofen
Other Name: Diflucan, Arudis, Ansaid, Orincea
|
Detailed Description:
The study hypothesis is: Fraction metabolized by CYP2C9 enzyme determines the extent of drug interactions in CYP2C9*1/*1 individuals but this factor (fraction metabolized) becomes less influential and drug interactions are attenuated in a gene-dose dependent manner in individuals with one or more defective alleles.
Objective: Examine the extent of fluconazole inhibition of drugs with varying degrees of fraction metabolized by CYP2C9 in individuals with the CYP2C9*1/*1, CYP2C9*1/*3 and CYP2C9*3/*3 genotypes.
People differ in their genetic makeup. This includes differences in genes involved in drug metabolism, transport, and effect in the body. People with certain genetic profiles produce altered enzymes, transporters, and receptors that may respond in different ways to drugs. Altered enzymes cause some drugs to be broken down at a different rate than normal. As a result, drug concentrations build up in the blood, and increase the risk of side effects. Furthermore, when two drugs are taken together, the possibility exists for the drugs to interact, with one drug causing a change in the metabolism of the other or both of the drugs. It is not known whether people with an altered genetic makeup also have an altered experience with drug interactions. Altered drug transporters can affect the absorption and elimination of drugs as compared to normal causing differences in how long the drug stays in the body. Finally, altered drug receptors can respond differently to drugs and, thus, produce altered desired or undesired effects.
In this study, we will be investigating the drug interactions between an antifungal drug called fluconazole and the commonly used drugs tolbutamide, flurbiprofen, and ketoprofen in subjects with three different alleles of the CYP2C9 genotype. Tolbutamide is used for management of Type 2 diabetes. Both flurbiprofen and ketoprofen are non-steroidal anti-inflammatory drugs (NSAIDs) often used for arthritis or pain. We are interested in studying whether individuals with certain genetic profiles have different drug interactions than normal. This research is being done to see if certain genetic profiles require us to adjust medication doses differently than is needed for the general population.
The cytochrome P450 (CYP) superfamily of enzymes plays an important role in the oxidative conversion of numerous xenobiotics into their more hydrophilic metabolites. CYP2C9, is an important member of the CYP superfamily, accounting for 10-20% of the CYP protein content in human liver and catalyzes approximately 20% of the CYP mediated drug oxidation reactions, including tolbutamide and the non-steroidal anti-inflammatory drugs (NSAIDs) such as ketoprofen and flurbiprofen. It is now well established that genetic factors play an important role in the control of CYP2C9 expression and activity. In particular, the *3 allele is expressed at an allele frequency of 15%. Homozygotic *3 individuals exhibit significantly reduced oral clearance for several CYP2C9 substrates. In most of these cases, the reduction in clearance approaches 80% and even in heterozygotic individuals, this reduction in clearance is 40-50% due to the co-dominant expression of CYP2C9. This reduction in clearance has been associated with an increased frequency of adverse events following warfarin or phenytoin administration, two clinically important drugs that exhibit a narrow therapeutic index. The therapeutic index is a comparison of the amount of a therapeutic agent that causes the therapeutic effect to the amount that causes toxic effects.
Eligibility| Ages Eligible for Study: | 18 Years to 60 Years |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | Yes |
| Sampling Method: | Non-Probability Sample |
Subjects are selected from a pharmacogenetics registry in which their drug metabolism genotype has been determined.
Inclusion Criteria:
- Subjects will be 18-60 years old.
- Women of child-bearing age must be willing to use measures to avoid conception during the study period.
- Subjects must agree not to take any known substrates, inhibitors, inducers or activators of CYP2C9
Exclusion Criteria:
- Current cigarette smoker
- Abnormal renal, liver function tests, physical exam, or recent history of hepatic, renal, gastrointestinal or neoplastic disease.
- Allergy to tolbutamide, flurbiprofen, ketoprofen, fluconazole or phenytoin and other chemically related drugs.
- Recent ingestion (< 1 week) of any medication known to be metabolized by or alter CYP2C9 activity.
- A positive pregnancy test during the time of the pharmacokinetic study
Contacts and Locations| United States, Minnesota | |
| Clinical and Translational Science Institute | |
| Minneapolis, Minnesota, United States, 55414 | |
| Principal Investigator: | Richard Brundage, PhD | University of Minnesota - Clinical and Translational Science Institute |
More Information
No publications provided
| Responsible Party: | University of Minnesota - Clinical and Translational Science Institute |
| ClinicalTrials.gov Identifier: | NCT01061112 History of Changes |
| Other Study ID Numbers: | 0812M56082, R01GM069753 |
| Study First Received: | January 29, 2010 |
| Last Updated: | September 18, 2012 |
| Health Authority: | United States: Institutional Review Board United States: Federal Government |
Keywords provided by University of Minnesota - Clinical and Translational Science Institute:
|
drug interactions genetics healthy volunteers normal controls CYP2C9 |
ClinicalTrials.gov processed this record on May 23, 2013