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Dicloxacillin: Clinical Relevance of Drug-drug Interactions by Induction of Drug Metabolism.

Dicloxacillin: Clinical Relevance of Drug-drug Interactions by Induction of Drug Metabolizing Enzymes.

Status
Completed
Phases
Phase 1
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02983890
Enrollment
12
Registered
2016-12-06
Start date
2016-10-06
Completion date
2017-10-01
Last updated
2018-08-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Brief summary

This trial is conducted as a cocktail-study namely an open-label, randomized, two-sequence, two-period crossover, cocktail study where a combination of cocktail-drugs is used to illustrate whether or not, or to what degree dicloxacillin affects the level of activity of the 5 most important CYP enzymes and therefore plays a potentially decisive role in serious drug-drug interactions.

Detailed description

Given knowledge explains dicloxacillin and the drug warfarin to be a potential dangerous drug drug interaction because the effects of warfarin is downregulated to a degree as to where it might cause patients to have thrombotic events. A potential explanation to this is namely dicloxacillin increases the activity of certain drug metabolising enzymes metabolising warfaring which in turn decreases the concentration of the drug in the blood and the therapeutic effect. Cocktail study is the golden standard to investigate as to whether there is changes is P450 enzymes as a result of drug-drug interactions. The cocktail consists of Midazolam, omeprazole, tolbutamide, caffein and dextromethorphan which is well known markers for these enzymes. These markers are safe, have specific (enzyme) metabolism and has been used in several studies with no Serious Adverse reactions reported. By measuring the Concentration of the drug and its metabolites in plasma / Urine before and after treatment with dicloxacillin we will estimate AUC (area under the curve) and test our hypothesis/primary end point of whether there is change in AUC for Tolbutamide (CYP2C9)

Interventions

Tablets containing dicloxacillin are taken 500mg 2x 3 times per day, for 10 days. Followed by test-day nr 1 at day 11. Both arms receives both treatments, randomly assigned

DRUGPlacebos

No drug are taken for 10 days. Non-blinded. Followed by test-day nr 1 at day 11. Both arms receives both treatments, randomly assigned

Sponsors

Per Damkier
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
MALE
Age
18 Years to 55 Years
Healthy volunteers
Yes

Inclusion criteria

* Are you in a general healthy condition?; questions asked; Are you healthy in general? 2; Do you have any chronic diseases? 3; Are you taking any medications regularly? 4, Are you taking any medications periodically . 5; Are you taking nutrition supplements, nature-medicine or over-the-counter drugs * BMI; range; 18,5-29,9 kg/m2 * eGFR(estimated glomerular filtration rate), ALAT(alanine aminotransferase), bilirubin, hæmoglobin og HbA1c, should be within normal limits or without clinically significantly deviation from these. * Non-Smoker

Exclusion criteria

* Hypersensitivity to applied medications. Known allergy to penicillin or type 1-reaction to cefalosporins. * Known allergy to sulfonamides * Clinically relevant intake of receipt-required medication, over-the-counter medication or nutritional supplements. * Chronic or daily intake of alcohol. * Participation in other Intervention-studies

Design outcomes

Primary

MeasureTime frameDescription
AUC(area under the curve) for tolbutamid (CYP2C9), as a result of dicloxacillin-treatmentPharmacological outcome measures at t=0 predose and postdose; 0.5,1,2,3,4,6,8,10,12,24.AUC measurements giving an estimate of activity og the relevant enzymes.

Secondary

MeasureTime frameDescription
ClearancePharmacological outcome measures at t=0 predose and postdose; 0.5,1,2,3,4,6,8,10,12,24.The volume of plasma from which the drug is completely removed per unit time. Reflects rate of drug elimination divided by plasma concentration.
*AUC(area under the curve) for midazolam (CYP3A4) and dextromethorphan (CYP1A2) omeprazole (CYP2C19) and caffein (CYP1A2)Pharmacological outcome measures at t=0 predose and postdose; 0.5,1,2,3,4,6,8,10,12,24.
T(max)Pharmacological outcome measures at t=0 predose and postdose; 0.5,1,2,3,4,6,8,10,12,24.The amount of time that the drug is present at the maximum concentration in serum.
C(max) (peak plasma concentration)Pharmacological outcome measures at t=0 predose and postdose; 0.5,1,2,3,4,6,8,10,12,24.The peak serum concentration of a therapeutic drug.

Countries

Denmark

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026