Population pharmacokinetics of lamotrigine adjunctive therapy in adults with epilepsy

Plasma concentrations of lamotrigine, an antiepileptic drug obtained in three adult controlled clinical trials conducted in the United States were pooled and analyzed using NONMEM, a population pharmacokinetic computer program, to facilitate development of dosing guidelines. A total of 2,407 lamotrigine plasma concentrations from 527 patients with epilepsy were analyzed. Regression equations for oral clearance were developed as a function of body size, age (18-64 years), gender, race, and use of concomitant antiepileptic drugs. The population mean apparent oral clearance of lamotrigine in adult patients receiving one concomitant enzyme-inducing antiepileptic drug and not valproic acid was estimated to be 1 mL/min/kg. Gender and age did not affect clearance significantly. On average, clearance was reduced by 25% in non-whites and increased by 13% in patients receiving more than one concomitant enzyme-inducing antiepileptic agent. Lamotrigine did not influence the disposition of phenytoin or carbamazepine. Dosing adjustments for lamotrigine in patients receiving concomitant enzyme-inducing antiepileptic drugs and not valproic acid should not be necessary for age, gender, or the number of concomitant enzyme-inducing antiepileptic drugs. Lamotrigine does not influence the dosing requirements for phenytoin or carbamazepine.     

Pharmacokinetic interactions of topiramate

Topiramate is a new antiepileptic drug (AED) that has been approved worldwide (in more than 80 countries) for the treatment of various kinds of epilepsy. It is currently being evaluated for its effect in various neurological and psychiatric disorders. The pharmacokinetics of topiramate are characterised by linear pharmacokinetics over the dose range 100-800 mg, low oral clearance (22-36 mL/min), which, in monotherapy, is predominantly through renal excretion (renal clearance 10-20 mL/min), and a long half-life (19-25 hours), which is reduced when coadministered with inducing AEDs such as phenytoin, phenobarbital and carbamazepine. The absolute bioavailability, or oral availability, of topiramate is 81-95% and is not affected by food. Although topiramate is not extensively metabolised when administered in monotherapy (fraction metabolised approximately 20%), its metabolism is induced during polytherapy with carbamazepine and phenytoin, and, consequently, its fraction metabolised increases. During concomitant treatment with topiramate and carbamazepine or phenytoin, the (oral) clearance of topiramate increases 2-fold and its half-life becomes shorter by approximately 50%, which may require topiramate dosage adjustment when phenytoin or carbamazepine therapy is added or discontinued. From a pharmacokinetic standpoint, topiramate is a unique example of a drug that, because of its major renal elimination component, is not subject to drug interaction due to enzyme inhibition, but nevertheless is susceptible to clinically relevant drug interactions due to induction of its metabolism. Unlike old AEDs such as phenytoin and carbamazepine, topiramate is a mild inducer and, currently, the only interaction observed as a result of induction by topiramate is that with ethinylestradiol. Topiramate only increases the oral clearance of ethinylestradiol in an oral contraceptive at high dosages (>200 mg/day). Because of this dose-dependency, possible interactions between topiramate and oral contraceptives should be assessed according to the topiramate dosage utilised. This paper provides a critical review of the pharmacokinetic interactions of topiramate with old and new AEDs, an oral contraceptive, and the CNS-active drugs lithium, haloperidol, amitriptyline, risperidone, sumatriptan, propranolol and dihydroergotamine. At a daily dosage of 200 mg, topiramate exhibited no or little (with lithium, propranolol and the amitriptyline metabolite nortriptyline) pharmacokinetic interactions with these drugs. The results of many of these drug interaction studies with topiramate have not been published before, and are presented and discussed for the first time in this article.     

Pharmacokinetics and metabolism of topiramate

The pharmacokinetics and pharmacokinetic interactions of topiramate (TPM) in humans have been studied quite extensively. The available information on TPM pharmacokinetics is derived from studies that were specifically designed for this purpose. In contrast to most conventional antiepileptic drugs, the pharmacokinetic profile of TPM combines most of the properties that are desirable for an antiepileptic drug. Topiramate is rapidly absorbed, with a high bioavailability that is not affected by concomitant food intake. The volume of distribution is 0.6-0.8 l/kg, suggesting distribution into total body water. The binding of TPM to serum proteins is low, which precludes the displacement interactions that are seen between highly bound drugs such as valproate and phenytoin. The elimination kinetics of TPM are strictly linear and, accordingly, there is a linear relationship between maintenance dose and steady-state plasma levels. Topiramate is excreted predominantly by the kidneys as unmetabolized drug. This is generally associated with lower interpatient variability in elimination kinetics. Approximately 20% of orally administered TPM is metabolized in the liver and this fraction may increase up to 50% in the presence of enzyme-inducing drugs, such as phenytoin or carbamazepine. During chronic ingestion of TPM, there is no clinically significant accumulation of any active metabolite, even in patients taking enzyme-inducing drugs. The elimination half-life of TPM is relatively long and does not require more frequent than twice-daily dosing. Finally, TPM has a relatively low potential for drug interactions. The clinically significant pharmacokinetic interactions between TPM and other antiepileptic drugs are limited to an increase in the clearance of TPM when inducing drugs such as phenytoin or carbamazepine are added. TPM has little or no effect on the pharmacokinetics of other antiepileptic drugs, but it can increase the clearance of the estrogenic component of oral contraceptives by up to 30%.     

Overview of the clinical pharmacokinetics of oxcarbazepine

Oxcarbazepine (GP 47680, 10,11-dihydro-10-oxo-5H-dibenz[b,f]azepine- 5-carboxamide) is an antiepileptic drug registered worldwide by Novartis under the trade name Trileptal((R)). Trileptal((R))is approved as adjunctive therapy or monotherapy for the treatment of partial seizures in adults and in children. In the US, Trileptal((R)) is approved as adjunctive therapy in adults and in children >/=4 years of age and as monotherapy in adults and in children.Trileptal((R))is currently marketed as 150, 300 and 600mg film-coated tablets for oral administration. A 60 mg/mL (6%) oral suspension formulation has also been registered worldwide.Oxcarbazepine and its pharmacologically active metabolite, 10-monohydroxy derivative (MHD; 10,11-dihydro-10-hydro-carbamazepine; GP 47779) show potent antiepileptic activity in animal models comparable to that of carbamazepine (Tegretol((R))) and phenytoin. Oxcarbazepine and MHD have been shown to exert antiepileptic activity by blockade of voltage-dependent sodium channels in the brain.Oxcarbazepine is rapidly reduced by cytosolic enzymes in the liver to MHD, which is responsible for the pharmacological effect of the drug. This step is mediated by cytosolic arylketone reductases. MHD is eliminated by conjugation with glucuronic acid. Minor amounts (4% of the dose) are oxidised to the pharmacologically inactive dihydroxy derivative (DHD). The absorption of oxcarbazepine is complete. In plasma after a single oral administration of oxcarbazepine the mean apparent elimination half-life (t((1/2))) of MHD in adults was 8-9h. Food has no effect on the bioavailability of the highest strength of the final market image tablet (600mg). At steady state MHD displays predictable linear pharmacokinetics at doses ranging from 300 to 2400mg. In children with normal renal function, renal clearance of MHD is higher than in adults, with a corresponding reduction in the terminal t((1/2)) of MHD. Consequently, although no special dose recommendation is needed, an increase in the dose of oxcarbazepine may be necessary to achieve similar plasma levels to those in adults. In patients with moderate to severe renal impairment (creatinine clearance <30 mL/min), the elimination t((1/2)) of MHD is prolonged with a corresponding 2-fold increase in area under the concentration-time curve. Therefore, a dose reduction of at least 50% and a prolongation of the titration period is necessary in these patients. Mild-to-moderate hepatic impairment does not affect the pharmacokinetics of MHD. Based on in vitro and in vivo findings and compared with antiepileptic drugs such as carbamazepine, phenytoin and phenobarbital, oxcarbazepine has a low propensity for drug-drug interactions. In vitro, MHD inhibits the cytochrome P450 (CYP) 2C19 (ki [inhibition constant] = 88 micromol/L). At oxcarbazepine doses above 1.2g, a 40% increase in the concentration of phenytoin and a 15% increase in phenobarbital levels were observed. Oxcarbazepine/MHD at high doses may slightly increase phenobarbital and phenytoin plasma concentrations. Therefore, when using high doses of oxcarbazepine an adjustment in the dose of phenytoin may be required. In vitro, MHD is only a weak inducer of uridine diphospate (UDP)-glucuronyltransferase (UDPGT) and therefore is unlikely to have an effect on drugs that are mainly eliminated by conjugation through the UDPGT enzymes (e.g. valproic acid and lamotrigine). Weak interactions between MHD and antiepileptic drugs that are strong inducers of CYP enzymes have been identified. Carbamazepine, phenobarbital and phenytoin have been shown to reduce MHD levels by 30-40% when coadministered with oxcarbazepine, with no decrease in efficacy. Oxcarbazepine decreases the plasma hormone levels (ethinylestradiol and levonorgestrel) of oral contraceptives and may therefore have the potential to cause oral contraception failure.     

Pharmacokinetic interplay of phase II metabolism and transport: a theoretical study

Understanding of the interdependence of cytochrome P450 enzymes and P-glycoprotein in disposition of drugs (also termed "transport-metabolism interplay") has been significantly advanced in recent years. However, whether such "interplay" exists between phase II metabolic enzymes and efflux transporters remains largely unknown. The objective of this article is to explore the role of efflux transporters (acting on the phase II metabolites) in disposition of the parent drug in Caco-2 cells, liver, and intestine via simulations utilizing a catenary model (for Caco-2 system) and physiologically based pharmacokinetic (PBPK) models (for the liver and intestine). In all three models, "transport-metabolism interplay" (i.e., inhibition of metabolite efflux decreases the metabolism) can be observed only when futile recycling (or deconjugation) occurred. Futile recycling appeared to bridge the two processes (i.e., metabolite formation and excretion) and enable the interplay thereof. Without futile recycling, metabolite formation was independent on its downstream process excretion, thus impact of metabolite excretion on its formation was impossible. Moreover, in liver PBPK model with futile recycling, impact of biliary metabolite excretion on the exposure of parent drug [(systemic (reservoir) area under the concentration-time curve (AUC(R1))] was limited; a complete inhibition of efflux resulted in AUC(R1) increases of less than 1-fold only. In intestine PBPK model with futile recycling, even though a complete inhibition of efflux could result in large elevations (e.g., 3.5-6.0-fold) in AUC(R1), an incomplete inhibition of efflux (e.g., with a residual activity of ≥ 20% metabolic clearance) saw negligible increases (<0.9-fold) in AUC(R1). In conclusion, this study presented mechanistic observations of pharmacokinetic interplay between phase II enzymes and efflux transporters. Those studying such "interplay" are encouraged to adequately consider potential consequences of inhibition of efflux transporters in humans.     

The Role of Transporters in the Pharmacokinetics of Orally Administered Drugs

Drug transporters are recognized as key players in the processes of drug absorption, distribution, metabolism, and elimination. The localization of uptake and efflux transporters in organs responsible for drug biotransformation and excretion gives transporter proteins a unique gatekeeper function in controlling drug access to metabolizing enzymes and excretory pathways. This review seeks to discuss the influence intestinal and hepatic drug transporters have on pharmacokinetic parameters, including bioavailability, exposure, clearance, volume of distribution, and half-life, for orally dosed drugs. This review also describes in detail the Biopharmaceutics Drug Disposition Classification System (BDDCS) and explains how many of the effects drug transporters exert on oral drug pharmacokinetic parameters can be predicted by this classification scheme.     

PBPK modeling of intestinal and liver enzymes and transporters in drug absorption and sequential metabolism

Experimental strategies have long been applied for in vitro or in vivo evaluation of the effect of transporters and/or enzymes on the bioavailability. However, the lack of specific inhibitors or inducers of transporters and enzymes and the multiplicity of nuclear receptors in gene regulation and cross talk have led to compromised assessment of these effects in vivo. These and other causes have resulted in confusion and controversy in transporter-enzyme interplay. In this review, physiologically-based pharmacokinetic (PBPK) intestinal and liver models are utilized to predict the contributions of enzymes and transporters on intestinal availability (F(I)) and hepatic availability (F(H)), with the aim to fully understand the impact of these variables on bioavailability (F(sys)) in vivo. We emphasize the often overlooked impact of influx and efflux clearances, and apply the PBPK models and their solutions to examine individual organ clearances of the intestine and the liver. In order to accurately predict oral bioavailability, these organ models are incorporated into the whole body PBPK model, and additional complicated scenarios such as segmental differences and zonal heterogeneity of transporters and enzymes in the intestine and liver and segregated blood flow patterns of the intestine are further discussed. The sequential metabolism of a drug to form primary and secondary metabolites in the first-pass organs is considered in PBPK modeling, revealing that the segregated flow model (SFM) of the intestine is more appropriate than the traditional PBPK intestinal model (TM). Examples are included to highlight the potential application of these PBPK models on the quantitative prediction of bioavailability.     

Roles of hepatic blood flow and enzyme activity in the kinetics of propranolol and sotalol.

1 The roles of the hepatic blood flow and the drug oxidizing enzyme system in eliminating oral propranolol and sotalol were studied in twelve subjects with biopsy proven liver parenchymal disease. 2 The apparent plasma clearance of propranolol was closely related both to the in vivo (antipyrine test) and in vitro (cytochrome P-450) indices of the activity of the hepatic mixed function oxidase system. 3 Propranolol clearance had also a clear relationship to the estimated liver blood flow. Altered flow was, however, suggested to be a minor factor when compared with changes in the enzyme system. 4 The elimination rate of sotalol had no correlation to the indices of hepatic drug metabolism or to the estimated liver blood flow. 5 It is concluded that both the deteriorated sinusoidal perfusion and the decreased mass of drug metabolizing enzymes may be responsible for the impaired elimination of oral propranolol in subjects with parenchymal liver disease.     

Theoretical consideration of the properties of intestinal flow models on route‐dependent drug removal: Segregated Flow (SFM) vs. Traditional (TM)

The intestine is endowed with a plethora of enzymes and transporters and regulates the flow of substrate to the liver. Physiologically‐based pharmacokinetic models have surfaced to describe intestinal removal. The traditional model (TM) describes the intestinal flow as a whole perfusing the entire tissue that contains the intestinal transporters and enzymes. The segregated flow model (SFM) describes that only a fraction (f_Q < 0.2) of the intestinal blood flow perfuses the enterocyte region where the intestinal enzymes and transporters are housed, rendering a lower drug distribution/intestinal clearance when drug enters via the circulation than from the gut lumen. As shown by simulations, a higher intestinal clearance and extraction ratio (E_I,iv) exists for the TM than for SFM after iv dosing. By contrast, the E_I,po after po dosing is higher for the SFM, due to the smaller volume of distribution for the enterocyte region and a lower flow rate that result in increased mean residence time and higher drug extraction. Under MBI (mechanism‐based inhibition), the AUC_R,po after oral bolus is the highest for drug when inhibitor is given orally, with SFM > TM. Competitive inhibition of intestinal enzymes leads to higher liver metabolism; again, when both drug and inhibitor are given orally, changes in the SFM > TM. However, less definitive patterns result with inhibition of both intestinal and liver enzymes. In conclusion, differences exist for E_I and drug‐drug interaction (DDI) between the TM and SFM. The fractional intestinal blood flow (f_Q) is a key factor affecting different extents of intestinal/liver metabolism of the drug after oral as well as intravenous administration.     

Alterations in drug disposition during pregnancy: implications for drug therapy

The disposition of many medications is altered during pregnancy. Due to changes in many physiological parameters as well as variability in the activity of maternal drug-metabolizing enzymes, the efficacy and toxicity of drugs used by pregnant women can be difficult to predict. Enzymatic activity exhibited by the placenta and fetus may affect maternal drug distribution and clearance also. In addition, efflux transporters have been detected in high amounts within placental tissue, potentially limiting fetal exposure to xenobiotics. Dosage adjustments of antiepileptic drugs, antidepressants and anti-infectives administered during pregnancy have been required due to these changes in drug metabolism and disposition. As such, pregnant women may require different dosing regimens than both men and non-pregnant women.     

Predicting Drug Disposition via Application of a Biopharmaceutics Drug Disposition Classification System

Abstract: A Biopharmaceutics Drug Disposition Classification System (BDDCS) was proposed to serve as a basis for predicting the importance of transporters in determining drug bioavailability and disposition. BDDCS may be useful in predicting: routes of drug elimination; efflux and absorptive transporters effects on oral absorption; when transporter‐enzyme interplay will yield clinically significant effects (e.g. low drug bioavailability and drug‐drug interactions); and transporter effects on post‐absorptive systemic drug levels following oral and i.v. dosing. For highly soluble, highly permeable Class 1 compounds, metabolism is the major route of elimination and transporter effects on drug bioavailability and hepatic disposition are negligible. In contrast for the poorly permeable Class 3 and 4 compounds, metabolism only plays a minor role in drug elimination. Uptake transporters are major determinants of drug bioavailability for these poorly permeable drugs and both uptake and efflux transporters could be important for drug elimination. Highly permeable, poorly soluble, extensively metabolized Class 2 compounds present the most complicated relationship in defining the impact of transporters due to a marked transporter‐enzyme interplay. Uptake transporters are unimportant for Class 2 drug bioavailability, (ensure space after,) but can play a major role in hepatic and renal elimination. Efflux transporters have major effects on drug bioavailability, absorption, metabolism and elimination of Class 2 drugs. It is difficult to accurately characterize drugs in terms of the high permeability criteria, i.e. ≥90% absorbed. We suggest that extensive metabolism may substitute for the high permeability characteristic, and that BDDCS using elimination criteria may provide predictability in characterizing drug disposition profiles for all classes of compounds.     

Natural polyphenol disposition via coupled metabolic pathways

A major challenge associated with the development of chemopreventive polyphenols is the lack of bioavailability in vivo, which are primarily the result of coupled metabolic activities of conjugating enzymes and efflux transporters. These coupling processes are present in disposition tissues and organs in mammals and are efficient for the purposes of drug metabolism, elimination and detoxification. Therefore, it was expected that these coupling processes represent a significant barrier to the oral bioavailabilities of polyphenols. In various studies of this coupling process, it was identified that various conjugating enzymes such as uridine 5'-diphosphate-glucuronosyltransferase and sulfotransferase are capable of producing very hydrophilic metabolites of polyphenols, which cannot diffuse out of the cells and needs the action of efflux transporters to pump them out of the cells. Additional studies have shown that efflux transporters, such as multi-drug resistance-associated protein 2, breast cancer-resistant protein and the organic anion transporters, appear to serve as the gate keeper when there is an excess capacity to metabolise the compounds. These efflux transporters may also act as the facilitator of metabolism when there is a product/metabolite inhibition. For polyphenols, these coupled processes enable a duo recycling scheme of enteric and enterohepatic recycling, which allows the polyphenols to be reabsorbed and results in longer than expected apparent plasma half-lifes for these compounds and their conjugates. Because the vast majority of polyphenols in plasma are hydrophilic conjugates, more research is needed to determine if the metabolites are active or reactive, which will help explain their mechanism of actions.     

The roles of transporters and enzymes in hepatic drug processing.

A simple, physiological model was used to illustrate the competing nature of transporters and metabolic enzymes in hepatic drug processing. Enalapril, a drug whose basolateral influx and canalicular efflux are mediated by rat organic anion-transporting polypeptide 1 (Oatp1) and rat multidrug resistance-associated protein 2 (Mrp2), respectively, and metabolism by the carboxylesterases, was enlisted as the example to illustrate how the transport and intrinsic clearances are inter-related in the estimation of the hepatic and metabolic, and excretion clearances. Moreover, simulations were performed to explore the effects of inhibitors or inducers of transporters/enzymes to unravel the compensatory changes of alternate pathways. Generally speaking, inhibition of one pathway led to an apparent increase in the alternate (competing) pathway and total hepatic clearance was decreased; induction would lead to an apparent decrease in the alternate pathway and an increase in total hepatic clearance. A reduction in influx clearance brought about parallel decreases in the biliary and metabolic clearances, whereas a reduction in efflux basolateral clearance evoked similar increases in biliary and metabolic clearances. However, the steady-state tissue concentration (C(L,ss)) or area under the tissue concentration-time curve (AUC(L)) was reliant only on the unbound fraction in liver, and the secretory and metabolic intrinsic clearances and not the influx and efflux clearances. Variations in the influx and efflux intrinsic clearances evoked temporal changes in the tissue concentration-time profile but not the AUC(L) or C(L,ss). The pharmacokinetic theory developed offers data interpretation from literature reports on P-glycoprotein and cytochrome P450 substrates with mdr1a/1b knockout versus wild-type mice, and rat liver perfusion studies, with and without the use of inhibitors. In some cases, critiques on data interpretation were made.     

Antipyrine metabolite kinetics in healthy human volunteers during multiple dosing of phenytoin and carbamazepine.

Antipyrine total clearance and the formation clearance of its major metabolites were studied in normal, healthy male volunteers before and after multiple dosing for approximately three weeks with phenytoin (six subjects) and carbamazepine (six subjects). Total antipyrine clearance increased on average by 91% after phenytoin dosing and by 61% after carbamazepine and individual increases correlated well with mean plasma concentrations of the anti-epileptic drug. The increase in total clearance resulted largely from increased formation clearances of the 4-hydroxy and 3-hydroxymethylantipyrine metabolites with minimal effect on the norantipyrine pathway, following treatment with both enzyme-inducing drugs. It is concluded that both phenytoin and carbamazepine have similar effects on antipyrine metabolism and that these effects are mediated by induction of specific forms of cytochrome P450.     

Characterization of gastrointestinal drug absorption in cynomolgus monkeys

Possible factors of species differences in gastrointestinal drug absorption between cynomolgus monkeys and humans were examined using several commercial drugs. Oral bioavailability (BA) of acetaminophen, furosemide, and propranolol in cynomolgus monkeys was significantly lower than that in humans. From the pharmacokinetic analysis, these drugs were found to show the low fraction absorbed into portal vein (FaFg), suggesting that the low BA in cynomolgus monkeys was attributed mainly to the gastrointestinal absorption processes. The gastric emptying rate (GER) calculated from plasma concentration profiles after oral administration of acetaminophen in cynomolgus monkeys was similar in humans. The gastrointestinal transit time (GITT) in cynomolgus monkeys was only slightly shorter than that in humans. On the other hand, it was demonstrated that the apparent intestinal permeability (Papp) of five drugs to cynomolgus monkey intestine was lower than that to rat intestine; especially propranolol and furosemide showed the remarkably low Papp. The expression levels of mRNAs of efflux transporters analyzed by real-time RT-PCR indicated that mRNA expression levels of MDR1, MRP2, and BCRP in monkey intestine were significantly higher than those in human intestine. This result suggested that low oral absorption of furosemide in cynomolgus monkeys was attributed to the high activities of efflux transporters in its intestinal membrane. Results of in vivo PK analysis clearly showed that FaFg values of propranolol and acetaminophen in cynomolgus monkeys were markedly lower than those in humans. Since propranolol and acetaminophen were the drug with high membrane permeability, it was considered that the high first-pass metabolism in the enterocytes was a main factor of their low FaFg in cynomolgus monkeys. In conclusion, it was demonstrated that the high activities of efflux transporters and/or metabolizing enzymes in the intestinal membrane are possible factors to cause poor oral absorption of drugs in cynomolgus monkeys.     

Interactions of serum albumin, valproic acid and carbamazepine with the pharmacokinetics of phenytoin in cancer patients

Phenytoin dosing is critical in cancer patients as to decreased absorption secondary to chemotherapy-induced gastrointestinal toxicity, increased phenytoin metabolism in the liver secondary to chemotherapy, extreme patient profile that falls outside the predicted pharmacokinetic population, frequent hypoalbuminaemia and polydrug treatment. A retrospective study to assess the variability of free phenytoin and the free fraction of phenytoin, as well as the influence of comedication on these parameters was performed in cancer patients by using a population approach. Two hundred fifty-eight data pairs of total phenytoin and free phenytoin were analysed from 155 cancer patients on stable phenytoin using non-linear mixed-effect modeling (NONMEM). Total and free phenytoin were determined using a fluorescence polarization immunoassay. An extensive model building procedure was subsequently used for covariate testing on the free fraction of phenytoin. Mean total phenytoin concentration was 11.7 mg/l, free phenytoin 1.25 mg/l and phenytoin free fraction 0.107. Free phenytoin was <1 mg/l on 132 occasions (51.2%) and >2 mg/l on 37 occasions (14.3%). Total and free phenytoin were significantly correlated (r(S)=0.827, P<0.01). The free fraction of phenytoin was independent of time after drug intake. Serum albumin concentrations and comedication with valproic acid or carbamazepine were identified by NONMEM as significant determinants of phenytoin free fraction. Co-medication with valproic acid and carbamazepine led to a 52.5% and 38.5% increase of the free fraction of phenytoin, respectively, and a 10 g/l decrease of serum albumin to a 15.1% increase of the free fraction of phenytoin. Phenytoin pharmacokinetics could reliably be estimated from oral doses and steady-state concentrations of protein-bound and free phenytoin. The variability in the free fraction of phenytoin could partly be explained by the influence of albumin concentrations and antiepileptic comedication. Significant alterations of the free fraction of phenytoin and free phenytoin by co-administration of valproic acid or carbamazepine suggest therapeutic drug monitoring of free phenytoin to be of potential benefit in cancer patients.     

Inhibitory and inducing effects of denzimol on carbamazepine metabolism in the rat

In vivo and in vitro alterations in carbamazepine (CBZ) metabolism and the extent of enzyme induction of the hepatic cytochrome P-450 system after chronic oral denzimol to rats were evaluated. No effect on drug-metabolizing enzymes was detected for this new anticonvulsant drug at a dose of 15 mg/kg, which is just above the anticonvulsive dose. At higher doses (60 mg/kg) denzimol significantly raised the hepatic cytochrome P-450 content, enhanced CBZ clearance and tend to shorten its elimination t1/2 and that of its active metabolite. These results, combined with those of a previous study showing impairment of CBZ metabolism after single doses of denzimol, suggest that the drug may have either inductive or inhibitory effects on microsomal mixed-function oxidase activity in the rat, depending on the dose and schedule of treatment.     

An integrated approach to model hepatic drug clearance.

It has been well accepted that hepatic drug extraction depends on the blood flow, vascular binding, transmembrane barriers, transporters, enzymes and cosubstrate and their zonal heterogeneity. Models of hepatic drug clearances have been appraised with respect to their utility in predicting drug removal by the liver. Among these models, the "well-stirred" model is the simplest since it assumes venous equilibration, with drug emerging from the outflow being in equilibrium with drug within the liver, and the concentration is the same throughout. The "parallel tube" and dispersion models, and distributed model of Goresky and co-workers have been used to account for the observed sinusoidal concentration gradient from the inlet and outlet. Departure from these models exists to include heterogeneity in flow, enzymes, and transporters. This article utilized the physiologically based pharmacokinetic (PBPK) liver model and its extension that include heterogeneity in enzymes and transporters to illustrate how in vitro uptake and metabolic data from zonal hepatocytes on transport and enzymes may be used to predict the kinetics of removal in the intact liver; binding data were also necessary. In doing so, an integrative platform was provided to examine determinants of hepatic drug clearance. We used enalapril and digoxin as examples, and described a simple liver PBPK model that included transmembrane transport and metabolism occurring behind the membrane, and a zonal model in which the PBPK model was expanded three sets of sub-compartments that are arranged sequentially to represent zones 1, 2, and 3 along the flow path. The latter model readily accommodated the heterogeneous distribution of hepatic enzymes and transporters. Transport and metabolic data, piecewise information that served as initial estimates, allowed for the unknown efflux and other intrinsic clearances to be estimated. The simple or zonal PBPK model provides predictive views on the hepatic removal of drugs and metabolites.     

A new physiologically based, segregated-flow model to explain route-dependent intestinal metabolism.

Processes of intestinal absorption, metabolism, and secretion must be considered simultaneously in viewing oral drug bioavailability. Existing models often fail to predict route-dependent intestinal metabolism, namely, little metabolism occurs after systemic dosing but notable metabolism exists after oral dosing. A physiologically based, Segregated-Flow Model (SFM) was developed to examine the influence of intestinal transport (absorption and exsorption), metabolism, flow, tissue-partitioning characteristics, and elimination in other organs on intestinal clearance, intestinal availability, and systemic bioavailability. For the SFM, blood flow to intestine was effectively segregated for the perfusion of two regions, with 10% reaching an absorptive layer-the enterocytes at the villus tips of the mucosa where metabolic enzymes and the P-glycoprotein reside, and the remaining 90% supplying the rest of the intestine (serosa and submucosa), a nonabsorptive layer. The traditional, physiologically-based model, which regards the intestine as a single, homogeneous compartment with all of the intestinal blood flow perfusing the tissue, was also examined for comparison. The analytical solutions under first order conditions were essentially identical for the SFM and traditional model, differing only in the flow rate to the absorptive/removal region. The presence of other elimination organs did not affect the intestinal clearance and bioavailability estimates, but reduced the percentage of dose metabolized by the intestine. For both models, intestinal availability was inversely related to the intrinsic clearances for intestinal metabolism and exsorption, and was additionally affected by both the rate constant for absorption and that denoting luminal loss when drug was exsorbed. However, the effect of secretion by P-glycoprotein became attenuated with rapid absorption. The difference in flow between models imparted a substantial influence on the intestinal clearance of flow-limited substrates, and the SFM predicted markedly higher extents of intestinal metabolism for oral over i.v. dosing. Thus, the SFM provides a physiological view of the intestine and explains the observation of route-dependent, intestinal metabolism.