Interaction between tolbutamide and ketoconazole in healthy subjects

An improved method for cytochrome p450 reaction phenotyping using a sequential qualitative-then-quantitative approach

Cytochrome P450 reaction phenotyping to determine the fraction of metabolism values (fm) for individual enzymes is a standard study in the evaluation of a new drug. However, there are technical challenges in these studies caused by shortcomings in the selectivity of P450 inhibitors and unreliable scaling procedures for recombinant P450 (rCYP) data. In this investigation, a two-step "qualitative-then-quantitative" approach to P450 reaction phenotyping is described. In the first step, each rCYP is tested qualitatively for potential to generate metabolites. In the second step, selective inhibitors for the P450s identified in step1 are tested for their effects on metabolism using full inhibition curves. Forty-eight drugs were evaluated in step 1 and there were no examples of missing an enzyme important to in vivo clearance. Five drugs (escitalopram, fluvastatin, pioglitazone, propranolol, and risperidone) were selected for full phenotyping in step2 to determine fm values, with findings compared to fm values estimated from single inhibitor concentration data and rCYP with intersystem-extrapolation-factor corrections. The two-step approach yielded fm values for major drug clearing enzymes that are close to those estimated from clinical data: escitalopram and CYP2C19 (0.42 vs 0.36-0.82), fluvastatin and CYP2C9 (0.76 vs 0.76), pioglitazone and CYP2C8 (0.72 vs 0.73), propranolol and CYP2D6 (0.68 vs 0.37-0.56) and risperidone and CYP2D6 (0.60 vs 0.66-0.88). Reaction phenotyping data generated in this fashion should offer better input to physiologically-based pharmacokinetic models for prediction of DDI and impact of genetic polymorphisms on drug clearance. The qualitative-then-quantitative approach is proposed as a replacement to standard reaction phenotyping strategies. Significance Statement P450 reaction phenotyping is important for projecting drug-drug interactions and interpatient variability in drug exposure. However, currently recommended practices can frequently fail to provide reliable estimates of the fractional contributions of specific P450 enzymes (fm) to drug clearance. In this report, we describe a two-step qualitative-then-quantitative reaction phenotyping approach that yields more accurate estimates of fm.

Progress in the Consideration of Possible Sex Differences in Drug Interaction Studies

Background:

Anecdotal evidence suggests that there may be sex differences in Drug-drug Interactions (DDI) involving specific drugs. Regulators have provided general guidance for the inclusion of females in clinical studies. Some clinical studies have reported sex differences in the Pharmacokinetics (PK) of CYP3A4 substrates, suggesting that DDI involving CYP3A4 substrates could potentially show sex differences.

Objective:

The aim of this review was to investigate whether recent prospective DDI studies have included both sexes and whether there was evidence for the presence or absence of sex differences with the DDIs.

Methods:

The relevant details from 156 drug interaction studies within 124 papers were extracted and evaluated.

Results:

Only eight studies (five papers) compared the outcome of the DDI between males and females. The majority of the studies had only male volunteers. Five studies had females only while 60 had males only, with 7.7% of the studies having an equal proportion of both sexes. Surprisingly, four studies did not specify the sex of the subjects.

:

Based on the limited number of studies comparing males and females, no specific trends or conclusions were evident. Sex differences in the interaction were reported between ketoconazole and midazolam as well as clarithromycin and midazolam. However, no sex difference was observed with the interaction between clarithromycin and triazolam or erythromycin and triazolam. No sex-related PK differences were observed with the interaction between ketoconazole and domperidone, although sex-related differences in QT prolongation were observed.

Conclusion:

This review has shown that only limited progress had been made with the inclusion of both sexes in DDI studies.

Application of unbound liver-to-plasma concentration ratio to quantitative projection of cytochrome P450-mediated drug-drug interactions using physiologically based pharmacokinetic modelling approach

1. This study evaluated the prediction accuracy of cytochrome P450 (CYP)-mediated drug-drug interaction (DDI) using minimal physiologically-based pharmacokinetic (PBPK) modelling incorporating the hepatic accumulation factor of an inhibitor (i.e. unbound liver/unbound plasma concentration ratio [K_p,uu,liver]) based on 22 clinical DDI studies. 2. K_p,uu,liver values were estimated using three methods: (1) ratio of cell-to-medium ratio in human cryopreserved hepatocytes (C/M_u) at 37 °C to that on ice (K_p,uu,C/M), (2) multiplication of total liver/unbound plasma concentration ratio (K_p,u,liver) estimated from C/M_u at 37 °C with unbound fraction in human liver homogenate (K_p,uu,cell) and (3) observed K_p,uu,liver in rats after intravenous infusion (K_p,uu,rat). 3. PBPK model using each K_p,uu,liver projected the area under the curve (AUC) increase of substrates more accurately than the model assuming a K_p,uu,liver of 1 for the average fold error and root mean square error did. Particularly, the model with a K_p,uu,liver of 1 underestimated the AUC increase of triazolam following co-administration with CYP3A4 inhibitor itraconazole by five-fold, whereas the AUC increase projected using the model incorporating the K_p,uu,C/M, K_p,uu,cell, or K_p,uu,rat of itraconazole and hydroxyitraconazole was within approximately two-fold of the actual value. 4. The results indicated that incorporating K_p,uu,liver into the PBPK model improved the accuracy of DDI projection.

Pharmacotherapy of type 2 diabetes mellitus: an update on drug-drug interactions

The incidence of type 2 diabetes mellitus is increasing rapidly, as are the associated co-morbidities. Consequently, it has become necessary for a diabetic patient to take multiple medications at the same time to delay progression of the disease. This can put patients at an increased risk of moderate to severe drug interactions, which may threaten patients' life or may deteriorate the quality of their life. Hence, managing drug-drug interactions is the cornerstone of anti-diabetic therapy. Most of the clinically important drug-drug interactions of anti-diabetic agents are related to their metabolic pathways, but drugs that compete for renal excretion or impair renal status can also play an important role. In this review, we have examined the clinical implications and underlying mechanisms of drugs that are likely to alter the pharmacologic response of or cause adverse events with antidiabetic drugs, and we have outlined safe and efficacious treatment modalities.

Drug-drug interaction between voriconazole and oral hypoglycemic agents in diabetic rats

Objective:

The objective was to study the of drug-drug interaction between voriconazole and oral hypoglycemic agents in normal and alloxan induced diabetic rats.

Materials and Methods:

The study was designed in two phases. In the first phase, influence of glibenclamide (0.45 mg/kg, p.o.) and pioglitazone (2.7 mg/kg, p.o. once daily) on blood glucose levels in normoglycemic rats was studied and then influence of voriconazole (18 mg/kg, p.o. twice daily.) pre-treatment on the hypoglycemic activity studied. Simultaneously the influence of voriconazole treatment for seven consecutive days (per se effect) on blood glucose levels was also studied in normoglycemic rats. In the second phase of the study alloxan-induced diabetic rats were used to find out the influence of voriconazole pre-treatment on glibenclamide and pioglitazone induced hypoglycemic effect in pathophysiological condition. Blood samples were collected from retro orbital plexus at regular intervals of 0.0, 0.5, 1.0, 2.0, 4.0, 8.0, 12.0, 18.0 and 24.0 h after drug treatment. All the blood samples were analyzed for plasma glucose by glucose oxidase peroxidase method (GOD/POD).

Results:

The therapeutic dose of voriconazole potentiates the hypoglycemic activity of glibenclamide and pioglitazone both in normoglycemic and diabetic rats respectively.

Conclusion:

The results indicate that the dose of oral hypoglycemic agents needs to be adjusted if co-administered with voriconazole.

Importance of multi-p450 inhibition in drug-drug interactions: evaluation of incidence, inhibition magnitude, and prediction from in vitro data

Drugs that are mainly cleared by a single enzyme are considered more sensitive to drug-drug interactions (DDIs) than drugs cleared by multiple pathways. However, whether this is true when a drug cleared by multiple pathways is coadministered with an inhibitor of multiple P450 enzymes (multi-P450 inhibition) is not known. Mathematically, simultaneous equipotent inhibition of two elimination pathways that each contribute half of the drug clearance is equal to equipotent inhibition of a single pathway that clears the drug. However, simultaneous strong or moderate inhibition of two pathways by a single inhibitor is perceived as an unlikely scenario. The aim of this study was (i) to identify P450 inhibitors currently in clinical use that can inhibit more than one clearance pathway of an object drug in vivo and (ii) to evaluate the magnitude and predictability of DDIs caused by these multi-P450 inhibitors. Multi-P450 inhibitors were identified using the Metabolism and Transport Drug Interaction Database. A total of 38 multi-P450 inhibitors, defined as inhibitors that increased the AUC or decreased the clearance of probes of two or more P450s, were identified. Seventeen (45%) multi-P450 inhibitors were strong inhibitors of at least one P450, and an additional 12 (32%) were moderate inhibitors of one or more P450s. Only one inhibitor (fluvoxamine) was a strong inhibitor of more than one enzyme. Fifteen of the multi-P450 inhibitors also inhibit drug transporters in vivo, but such data are lacking on many of the inhibitors. Inhibition of multiple P450 enzymes by a single inhibitor resulted in significant (>2-fold) clinical DDIs with drugs that are cleared by multiple pathways such as imipramine and diazepam, while strong P450 inhibitors resulted in only weak DDIs with these object drugs. The magnitude of the DDIs between multi-P450 inhibitors and diazepam, imipramine, and omeprazole could be predicted using in vitro data with similar accuracy as probe substrate studies with the same inhibitors. The results of this study suggest that inhibition of multiple clearance pathways in vivo is clinically relevant, and the risk of DDIs with object drugs may be best evaluated in studies using multi-P450 inhibitors.

Drug-induced hypoglycaemia: an update

Drugs are the most frequent cause of hypoglycaemia in adults. Although hypoglycaemia is a well known adverse effect of antidiabetic agents, it may occasionally develop in the course of treatment with drugs used in everyday clinical practice, including NSAIDs, analgesics, antibacterials, antimalarials, antiarrhythmics, antidepressants and other miscellaneous agents. They induce hypoglycaemia by stimulating insulin release, reducing insulin clearance or interfering with glucose metabolism. Several drugs may also potentiate the hypoglycaemic effect of antidiabetic agents. Administration of these agents to individuals with diabetes mellitus is of most concern. Many of these drugs, and depending on clinical setting, may also induce hyperglycaemia. Drug-induced hepatotoxicity and nephrotoxicity may lead in certain circumstances to hypoglycaemia. Some drugs may also induce hypoglycaemia by causing pancreatitis. Drug-induced hypoglycaemia is usually mild but may be severe. Effective clinical management can be handled through awareness of this drug-induced adverse effect on blood glucose levels. Herein, we review pertinent clinical information on the incidence of drug-induced hypoglycaemia and discuss the underlying pathophysiological mechanisms, and prevention and management.

Drug-Drug Interaction of Antifungal Drugs

This article reviews the in vitro metabolic and the in vivo pharmacokinetic drug-drug interactions with antifungal drugs, including fluconazole, itraconazole, micafungin, miconazole, and voriconazole. In the in vitro interaction studies, the effects of antifungal drugs on specific activities of cytochrome P450s (CYPs), including CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4, in human liver microsomes are compared to predict the possibility of drug interactions in vivo. Fluconazole, micafungin, and voriconazole have lower inhibitory effects on CYP3A4 activities than itraconazole and miconazole, and IC(50) and/or K(i) values against CYP2C9 and CYP2C19 activities are the lowest for miconazole, followed by voriconazole and fluconazole. In in vivo pharmacokinetic studies, it is well known that itraconazole is a potent clinically important inhibitor of the clearance of CYP3A4 substrates, and fluconazole and voriconazole are reported to increase the blood or plasma concentrations of not only midazolam and cyclosporine (CYP3A4 substrates) but also of phenytoin (CYP2C9 substrate) and/or omeprazole (CYP2C19/CYP3A4 substrate). On the other hand, no inhibition of CYP activities except for CYP3A4 activity by micafungin is observed in vitro, and the blood concentrations of cyclosporine and tacrolimus are not affected by coadministration of micafungin in vivo, suggesting that micafungin would not cause clinically significant interactions with drugs that are metabolized by CYPs via the inhibition of metabolism. Miconazole is a potent inhibitor of all CYPs investigated in vitro, although there are few detailed studies on the clinical significance of this except for CYP2C9. Therefore the differential effects of these antifungal drugs on CYP activities must be considered in the choice of antifungal drugs in patients receiving other drugs.

Effect of ketoconazole on the pharmacokinetics of rosiglitazone in healthy subjects

AIMS

Fungal infection is a significant comorbidity in patients with diabetes mellitus, and ketoconazole, an antifungal agent, causes a number of drug interactions with coadministered drugs. Rosiglitazone is a novel thiazolidinedione antidiabetic drug, mainly metabolized by CYP2C8 and to a lesser extent CYP2C9. We investigated the possible effect of ketoconazole on the pharmacokinetics of rosiglitazone in humans.

METHODS

Ten healthy Korean male volunteers were treated twice daily for 5 days with 200 mg ketoconazole or with placebo, using a randomized, open-label, two-way crossover study. On day 5, a single dose of 8 mg rosiglitazone was administered orally, and plasma rosiglitazone concentrations were measured.

RESULTS

Ketoconazole increased the mean area under the plasma concentration-time curve for rosiglitazone by 47%[P = 0.0003; 95% confidence interval (CI) 23, 70] and the mean elimination half-life from 3.55 to 5.50 h (P = 0.0003; 95% CI in difference 1.1, 2.4). The peak plasma concentration of rosiglitazone was increased by ketoconazole treatment by 17% (P = 0.03; 95% CI 5, 29). The apparent oral clearance of rosiglitazone decreased by 28% after ketoconazole treatment (P = 0.0005; 95% CI 18, 38).

CONCLUSIONS

This study revealed that ketoconazole affected the disposition of rosiglitazone in humans, probably by the inhibition of CYP2C8 and CYP2C9, leading to increasing rosiglitazone concentrations that could increase the efficacy of rosiglitazone or its adverse events.

Pharmacokinetics of antifungal agents in onychomycoses

Onychomycosis is caused by infection by fungi, mainly dermatophytes and nondermatophyte yeasts or moulds; it affects the fingernails and, more frequently, the toenails. Dermatophytes are responsible for about 90 to 95% of fungal infections. Trichophyton rubrum is the most common dermatophyte; Candida albicans is the major nondermatophyte yeast. Although topical therapy of onchomycosis does not lead to systemic adverse effects or interactions with concomitantly taken drugs, it does not provide high cure rates and requires complete compliance from the patient. At present there are 3 oral antifungal medications that are generally used for the short term treatment of onychomycosis: itraconazole, terbinafine and fluconazole. The persistence of these active drugs in nails allows weekly administration, reduced treatment or a pulse regimen. Good clinical and mycological efficacies are obtained with itraconazole 100 to 200 mg daily, terbinafine 250mg daily for 3 months, or fluconazole 150 mg weekly for at least 6 months. Itraconazole is a synthetic triazole with a broad spectrum of action. It is well absorbed when administered orally and can be detected in nails 1 to 2 weeks after the start of therapy. The nail : plasma ratio stabilises at around 1 by week 18 of treatment. Itraconazole is still detectable in nails 27 weeks after stopping administration. Nail concentrations are higher than the minimum inhibitory concentration (MIC) for most dermatophytes and Candida species from the first month of treatment. The elimination half-life of itraconazole from nails is long, ranging from 32 to 147 days. Terbinafine is a synthetic allylamine that is effective against dermatophytes. Terbinafine is well absorbed from the gastrointestinal tract, and the time to reach effective concentrations in nail is 1 to 2 weeks. The half-life is from 24 to 156 days, explaining the observed persistence of terbinafine in nails for longer than 252 days. Fluconazole is a bis-triazole broad spectrum antifungal with high oral bioavailability. The uptake of fluconazole by nail increases with the length of treatment, and nail : plasma ratios are generally 1.5 to 2 at steady state. Fluconazole concentrations exceed the MIC for Candida species soon after the start of treatment. Fluconazole concentrations fall slowly after the drug is stopped, with a half-life of 50 to 87 days, and fluconazole is still detectable in nails 5 months after the end of treatment. All these drugs are potent inhibitors of cytochrome P450 (CYP) enzymes and may increase the plasma concentrations of concomitantly used drugs. Itraconazole inhibits CYP3A4. Fluconazole inhibits CYP3A4, but to a lesser degree than itraconazole, CYP2C9 and CYP2C19. Terbinafine inhibits CYP2D6.

Effects of the antifungal agents on oxidative drug metabolism: clinical relevance

This article reviews the metabolic pharmacokinetic drug-drug interactions with the systemic antifungal agents: the azoles ketoconazole, miconazole, itraconazole and fluconazole, the allylamine terbinafine and the sulfonamide sulfamethoxazole. The majority of these interactions are metabolic and are caused by inhibition of cytochrome P450 (CYP)-mediated hepatic and/or small intestinal metabolism of coadministered drugs. Human liver microsomal studies in vitro, clinical case reports and controlled pharmacokinetic interaction studies in patients or healthy volunteers are reviewed. A brief overview of the CYP system and the contrasting effects of the antifungal agents on the different human drug-metabolising CYP isoforms is followed by discussion of the role of P-glycoprotein in presystemic extraction and the modulation of its function by the antifungal agents. Methods used for in vitro drug interaction studies and in vitro-in vivo scaling are then discussed, with specific emphasis on the azole antifungals. Ketoconazole and itraconazole are potent inhibitors of the major drug-metabolising CYP isoform in humans, CYP3A4. Coadministration of these drugs with CYP3A substrates such as cyclosporin, tacrolimus, alprazolam, triazolam, midazolam, nifedipine, felodipine, simvastatin, lovastatin, vincristine, terfenadine or astemizole can result in clinically significant drug interactions, some of which can be life-threatening. The interactions of ketoconazole with cyclosporin and tacrolimus have been applied for therapeutic purposes to allow a lower dosage and cost of the immunosuppressant and a reduced risk of fungal infections. The potency of fluconazole as a CYP3A4 inhibitor is much lower. Thus, clinical interactions of CYP3A substrates with this azole derivative are of lesser magnitude, and are generally observed only with fluconazole dosages of > or =200 mg/day. Fluconazole, miconazole and sulfamethoxazole are potent inhibitors of CYP2C9. Coadministration of phenytoin, warfarin, sulfamethoxazole and losartan with fluconazole results in clinically significant drug interactions. Fluconazole is a potent inhibitor of CYP2C19 in vitro, although the clinical significance of this has not been investigated. No clinically significant drug interactions have been predicted or documented between the azoles and drugs that are primarily metabolised by CYP1A2, 2D6 or 2E1. Terbinafine is a potent inhibitor of CYP2D6 and may cause clinically significant interactions with coadministered substrates of this isoform, such as nortriptyline, desipramine, perphenazine, metoprolol, encainide and propafenone. On the basis of the existing in vitro and in vivo data, drug interactions of terbinafine with substrates of other CYP isoforms are unlikely.

Update on drug interactions with azole antifungal agents

OBJECTIVE

To review and update the incidence, mechanism, and clinical relevance of drug interactions with itraconazole, ketoconazole, and fluconazole.

DATA SOURCES

Literature was identified by MEDLINE search (from January 1990 to May 1997) using the name of each antifungal and the term "interaction" as MeSH headings. Abstracts were identified by literature citation and by review of Interscience Conference on Antimicrobial Agents and Chemotherapy from 1995 to 1996.

STUDY SELECTION

Randomized, controlled, double-blind studies were emphasized; however, uncontrolled studies and case reports were also included. In vitro data were selected from literature review and citations.

DATA EXTRACTION

Data were evaluated with respect to study design, clinical relevance, magnitude of interaction, and recommendations provided.

DATA SYNTHESIS

The incidence of fungal infections and consequent azole antifungal usage continues to increase. By virtue of their antifungal mechanism (i.e., inhibition of cytochrome P450 fungal enzyme systems), azoles have been investigated and implicated in several drug interactions. The magnitude of interactions can vary from trivial to potentially fatal, and also vary with specific azole and interactant.

CONCLUSIONS

The azole antifungal agents represent a commonly used class of agents with a broad range of potential interactions. Recent data have increased our understanding of drug--drug interactions with azoles. Pharmacists are in a unique position to identify these interactions and to intervene to decrease their morbidity and improve patient care.

Systemic antifungal agents. Drug interactions of clinical significance

There are 3 main classes of systemic antifungals: the polyene macrolides (e.g. amphotericin B), the azoles (e.g. the imidazoles ketoconazole and miconazole and the triazoles itraconazole and fluconazole) and the allylamines (e.g. terbinafine). Other systemic antifungals include griseofulvin and flucytosine. Most drug-drug interactions involving systemic antifungals have negative consequences. The interactions of amphotericin B, flucytosine, griseofulvin, terbinafine and azole antifungals can be divided into the following categories: (i) additive dangerous interactions; (ii) modifications of antifungal kinetics by other drugs; and (iii) modifications of the kinetics of other drugs by antifungals. Amphotericin B and flucytosine mainly interact with other agents pharmacodynamically. Clinically important drug interactions with amphotericin B cause nephrotoxicity, hypokalaemia and blood dyscrasias. The most important drug interaction of flucytosine occurs with myelotoxic agents. Hypokalaemia can precipitate the long QT syndrome, as well as potentially lethal ventricular arrhythmias like torsade de pointes. Synergism is likely to occur when either QT interval-modifying drugs (e.g. terfenadine and astemizole) and drugs that induce hypokalaemia (e.g. amphotericin B) are coadministered. Induction and inhibition of cytochrome P450 enzymes at hepatic and extrahepatic sites are the mechanisms that underlie the most serious pharmacokinetic drug interactions of the azole antifungals. These agents have been shown to notably decrease the catabolism of numerous drugs: histamine H1 receptor antagonists, warfarin, cyclosporin, tacrolimus, digoxin, felodipine, lovastatin, midazolam, triazolam, methylprednisolone, glibenclamide (glyburide), phenytoin, rifabutin, ritonavir, saquinavir, nevirapine and nortriptyline. Non-antifungal drugs like carbamazepine, phenobarbital (phenobarbitone), phenytoin and rifampicin (rifampin) can induce the metabolism of azole antifungals. The bioavailability of ketoconazole and itraconazole is also reduced by drugs that increase gastric pH, such as H2 receptor antagonists, proton pump inhibitors, sucralfate and didanosine. Griseofulvin is an enzymatic inducer of coumarin-like drugs and estrogens, whereas terbinafine seems to have a low potential for drug interactions. Despite important advances in our understanding of the mechanisms underlying pharmacokinetic drug interactions during the 1990s, at this time they still remain difficult to predict in terms of magnitude in individual patients. This is because of the large interindividual and intraindividual variations in the catalytic activity of those metabolising enzymes that can either be induced or inhibited by various drugs. Notwithstanding these variations, increasing clinical experience is allowing pharmacokinetic interactions to be used to advantage in order to improve the tolerability of some drugs, as recently exemplified by the use of a fixed combination of ketoconazole and cyclosporin.

Inhibition of the sulfoxidation of omeprazole by ketoconazole in poor and extensive metabolizers of S-mephenytoin

BACKGROUND

The metabolism of omeprazole includes hydroxylation catalyzed by CYP2C19 and, to a minor extent, sulfoxidation, presumably by CYP3A4. Sulfoxidation may be the predominant pathway in individuals devoid of the genetically determined CYP2C19 activity. Ketoconazole is a known CYP3A4 inhibitor in daily doses from 200 to 400 mg. In this study ketoconazole was used as a probe to investigate the extent to which CYP3A4 is involved in omeprazole metabolism in vivo.

METHODS

A single oral 20 mg dose of omeprazole before and after four daily doses of 200, 100, or 50 mg ketoconazole was given to 10 healthy subjects, previously phenotyped as poor or extensive metabolizers of S-mephenytoin. Concentrations of omeprazole, 5-hydroxyomeprazole, omeprazole sulfone, and ketoconazole were analyzed with reversed-phase HPLC methods in plasma samples collected repeatedly for 12 hours after dosing.

RESULTS

After intake of 20 mg omeprazole with 0, 50, 100, and 200 mg ketoconazole, mean values for omeprazole sulfone area under the plasma concentration versus time curve from 0 to 6 hours [AUC(0-6)] were 482, 206, 167, and < 100 nmol/L.hr in extensive metabolizers and 3160, 2430, 937, and 534 nmol/L.hr in poor metabolizers, respectively. Mean omeprazole AUC(0-6) increased from 1660 to 2265 nmol/L.hr in extensive metabolizers and from 7715 to 15319 nmol/L.hr in poor metabolizers after intake of 200 mg ketoconazole.

CONCLUSIONS

An oral daily dose of 100 to 200 mg ketoconazole is sufficient to provide a marked inhibition of the formation of the omeprazole sulfone in both extensive and poor metabolizers and leads to a doubling of omeprazole levels in poor metabolizers, whereas 50 mg ketoconazole provides only partial inhibition. We concluded that CYP3A4 catalyzes the sulfoxidation of omeprazole and that this is the predominant metabolic pathway of omeprazole in poor metabolizers of S-mephenytoin.

Effect of ketoconazole plus low-dose prednisone on progression of chronic renal failure

Patients with any of four different types of chronic renal failure (CRF) (glomerular disease, interstitial nephritis, diabetic nephropathy, or polycystic disease) were observed using sequential determinations of glomerular filtration rate (GFR). Those whose GFR showed progression were either given ketoconazole 200 to 600 mg/d (to suppress cortisol production) plus prednisone 2.5 mg/d (to prevent anterior pituitary escape) and observed with the use of more GFRs, or were observed while four additional GFRs were determined before starting these drugs; some patients were subsequently withdrawn from these drugs and were observed using more GFRs. The effect of these drugs on rate of progression was estimated by a linear spline technique, using observations before, during, and (when available) after treatment. In 20 patients, sufficient data were obtained to estimate the magnitude of this effect. In seven patients with chronic glomerular disease, progressing at -0.62 +/- 0.12 mL/min/mo, progression slowed by 66% +/- 12% (P < 0.01). In five patients with interstitial nephritis of various etiologies, progressing at -1.19 +/- 0.34 mL/min/mo, progression slowed by 55% +/- 27% (P < 0.05). In five diabetic patients progressing at -1.22 +/- 0.14 mL/min/mo, progression slowed by an average of 77% +/- 14% (P < 0.01). In contrast, in four patients with polycystic kidney disease, progression accelerated by 99% +/- 63%. Mean urinary steroid excretion decreased significantly; plasma corticotropin did not increase. Neither proteinuria nor serum lipid levels changed. Urinary nitrate excretion decreased significantly, but serum nitrate did not change. Blood pressure decreased slightly (4.3 mm Hg). Three patients developed transiently elevated serum transaminase levels; two others withdrew because of side effects. We conclude that in chronic glomerular disease, diabetic nephropathy, and interstitial nephritis, this combination of drugs is as safe as ketoconazole in the absence of renal disease and shows promise of slowing progression. In polycystic kidney disease, it is apparently ineffective or harmful.

Biotransformation of mestranol to ethinyl estradiol in vitro: the role of cytochrome P-450 2C9 and metabolic inhibitors

Mestranol, the estrogen component of some oral contraceptive formulations, must be demethylated to its active metabolite, 17 alpha-ethinyl estradiol, to produce estrogenic activity. To investigate the transformation of mestranol to ethinyl estradiol, an in vitro assay was used with human liver microsomes from four different donors. Incubation of a fixed concentration of mestranol (3 mumol/L) with varying concentrations of CYP inhibitors revealed strong inhibition of ethinyl estradiol formation by sulfaphenazole, a specific CYP2C9 inhibitor, with an average inhibitor concentration at one half of Emax (IC50) of 3.6 mumol/L (range, 1.8-8.3 mumol/L) and an average maximal inhibitory capacity (Emax) of 75% (range, 60-91%). Troleandomycin (a CYP3A3/4 inhibitor) and quinidine (a CYP2D6 inhibitor), however, produced no substantial inhibitory activity. alpha-Naphthoflavone (a CYP1A1/2 inhibitor only at concentrations < 2 mumol/L and a CYP2C9 inhibitor at higher concentrations) had a weak inhibitory effect on ethinyl estradiol formation (< 20% decrease in mestranol demethylation activity). Of the three antifungal azoles tested, miconazole strongly inhibited mestranol demethylation, with an average IC50 of 1.5 mumol/L (range, 0.7-3.2 mumol/L) and an average Emax of 90% (range, 77-100%), whereas fluconazole displayed relatively weak inhibition only at the highest concentration of 50 mumol/L (mean reduction in demethylation activity was 29%). Itraconazole produced no meaningful inhibition. Strong inhibition of ethinyl estradiol formation by sulfaphenazole suggests a major contribution of CYP2C9 to this reaction.

Treatment of tinea capitis

OBJECTIVE

To review the epidemiology, pathogenesis, mycology, clinical presentation, and pharmacotherapy of tinea capitis, and describe the role of newer antimycotic agents.

DATA SOURCES

A MEDLINE search restricted to English-language articles published from 1966 through 1996 and journal references were used in preparing this review.

DATA EXTRACTION

The data on mycology, pharmacokinetics, adverse effects, and drug interactions were obtained from controlled studies and case reports appearing in the literature. Both open-label and comparative studies were evaluated to assess the efficacy of antimycotics in the treatment of this infection.

DATA SYNTHESIS

Griseofulvin is the drug of choice in the treatment of tinea capitis. Newer agents with greater efficacy or shorter treatment durations continue to be explored. Ketoconazole, the first azole studied for efficacy in tinea capitis, has not demonstrated any clinical advantage over griseofulvin in several controlled clinical trials. Itraconazole is effective, but the available data are limited to case reports and a single uncontrolled study. Terbinafine similarly has shown promise in the treatment of tinea capitis, but the oral formulation was only recently approved in the US. Existing studies reflect the results in infection with pathogens not seen in the US. Both itraconazole and terbinafine achieve high concentrations in the hair and stratum corneum that persist for several weeks following drug administration. This may enable shorter courses of therapy; however, comparative studies need to be conducted in the US.

CONCLUSIONS

Tinea capitis remains the most common dermatophyte infection in young urban children. Oral antifungal therapy is required for effective treatment, often for several months. The combination of griseofulvin with a selenium sulfide shampoo continues to be the mainstay of therapy until more experience is gained with the newer antimycotics.