Neuroactive steroids differ in potency but not in intrinsic efficacy at the GABA(A) receptor in vivo

The objective of the present investigation was to characterize the in vivo EEG effects of (synthetic) neuroactive steroids on the basis of a recently proposed mechanism-based pharmacokinetic/pharmacodynamic (PK/PD) model. After intravenous administration, the time course of the EEG effect of pregnanolone, 2beta-3alpha-5alpha-3-hydroxy-2-(2,2-dimethylmorpholin-4-yl)-pregnan-11,20-dione (ORG 21465), 2beta-3alpha-5alpha-21-chloro-3-hydroxy-2-(4-morpholinyl)-pregnan-20-one (ORG 20599), and alphaxalone was determined in conjunction with plasma concentrations in rats. For each neuroactive steroid the PK/PD correlation was described on the basis of a two-compartment pharmacokinetic model with an effect compartment to account for hysteresis. The observed concentration EEG effect relationships were biphasic and characterized with a mechanism-based pharmacodynamic model, which is based on a separation between the receptor activation process and the stimulus-response relationship. A single unique biphasic stimulus-response relationship could be identified for all neuroactive steroids, which was successfully described by a parabolic function. The receptor activation process was described by a hyperbolic function. Estimates for the maximum activation (e(PD)) were similar for the different neuroactive steroids but values of the potency estimate (K(PD)) ranged from 157 +/- 16 ng. ml(-1) for pregnanolone, 221 +/- 83 ng. ml(-1) for ORG 20599, and 483 +/- 42 ng. ml(-1) for alphaxalone to 1619 +/- 208 ng. ml(-1) for ORG 21465. A statistically significant correlation was observed between the in vivo potency and the IC(50) in an in vitro [(35)S]t-butylbicyclophosphorothionate binding assay (r = 0.91). It is concluded that the new PK/PD model constitutes a new mechanism-based approach to the quantification of the effects of (synthetic) neuroactive steroids in vivo effects. The results show that the neuroactive steroids differ in potency but not in intrinsic efficacy at the GABA(A) receptor in vivo.     

In vivo pharmacodynamic activity of daptomycin

Daptomycin is a lipopeptide antibiotic with activity against a wide range of gram-positive bacteria. We used the neutropenic murine thigh model to characterize the pharmacodynamics of daptomycin. ICR/Swiss mice were rendered neutropenic with cyclophosphamide; and the thigh muscles of the mice were infected with strains of Staphylococcus aureus, Streptococcus pneumoniae, and Enterococcus faecium. Animals were treated by subcutaneous injection of daptomycin at doses of 0.20 to 400 mg/kg of body weight/day divided into one, two, four, or eight doses over 24 h. Daptomycin exhibited linear pharmacokinetics, with an area under the concentration-time curve (AUC) from time zero to infinity/dose of 9.4 and a half-life of 0.9 to 1.4 h. The level of protein binding was 90%. Free daptomycin exhibited concentration-dependent killing and produced in vivo postantibiotic effects (PAEs) of 4.8 to 10.8 h. Nonlinear regression analysis was used to determine which pharmacokinetic (PK) or pharmacodynamic (PD) parameter was important for efficacy by using free drug concentrations. The peak concentration/MIC (peak/MIC) ratio and 24-h AUC/MIC ratio were the PK and PD parameters that best correlated with in vivo efficacy (R(2) = 83 to 87% for peak/MIC and R(2) = 86% for the AUC/MIC ratio, whereas R(2) = 47 to 50% for the time that the concentration was greater than the MIC) against standard strains of S. aureus and S. pneumoniae. The peak/MIC ratios required for a bacteriostatic effect ranged from 12 to 36 for S. pneumoniae, 59 to 94 for S. aureus, and 0.14 to 0.25 for E. faecium. The AUC/MIC ratios needed for a bacteriostatic effect ranged from 75 to 237 for S. pneumoniae, 388 to 537 for S. aureus, and 0.94 to 1.67 for E. faecium. The free daptomycin concentrations needed to average from one to two times the MIC over 24 h to produce a bacteriostatic effect and two to four times the MIC over 24 h to produce greater than 99% killing. The long PAE and potent bactericidal activity make daptomycin an attractive option for the treatment of infections caused by gram-positive bacteria.     

In vivo characterization of the pharmacodynamic interaction of a benzodiazepine agonist and antagonist: midazolam and flumazenil.

The pharmacokinetic and pharmacodynamic interaction between the benzodiazepine agonist midazolam and antagonist flumazenil was quantified in vivo in rats, using effect parameters derived from aperiodic EEG analysis. The benzodiazepine-induced increase in amplitudes in the 11.5 to 30 Hz (beta) frequency band of the EEG was used as effect measure. A competitive interaction model was derived that could describe and predict the time course of EEG effect after administration of several combinations of midazolam and flumazenil. Two approaches to derive the interaction model were evaluated. In a first experiment, rats received 10 or 20 mg/kg midazolam i.v. in 15 min during a steady-state infusion of flumazenil at a rate of 0, 0.25, 0.5 or 1 mg/kg/hr. The EEG was continuously measured and frequent blood samples were taken to determine the pharmacokinetics of the drugs. Flumazenil did not influence the pharmacokinetics of midazolam, but a significant reduction in the clearance of flumazenil was observed in the presence of midazolam. Flumazenil did not possess any intrinsic efficacy with regard to the EEG effect measure. With increasing flumazenil concentrations, a parallel shift in the concentration-EEG effect relationship of midazolam was observed, confirming the competitive nature of the interaction. An agonist-antagonist interaction model was used to quantify the interaction, yielding the pharmacodynamic parameters of midazolam [(mean +/- S.E.): Emax = 80 +/- 5 microV/sec, EC50 = 35 +/- 3 ng/ml and N = 1.1 +/- 0.2] and flumazenil: EC50 = 24 +/- 2 ng/ml and N = 1.6 +/- 0.1. In a second experiment, rats received 5 mg/kg flumazenil or placebo i.v. in 10 min during a steadystate infusion of midazolam.(ABSTRACT TRUNCATED AT 250 WORDS)     

In vivo pharmacodynamic activity of the glycopeptide dalbavancin

Dalbavancin is a lipoglycopeptide antibiotic with broad-spectrum activity against gram-positive cocci and a markedly prolonged serum elimination half-life. We used the neutropenic murine thigh and lung infection models to characterize the pharmacodynamics of dalbavancin. Single-dose pharmacokinetic studies demonstrated linear kinetics and a prolonged elimination half-life which ranged from 7.6 to 13.1 h over the dose range of 2.5 to 80 mg/kg of body weight. The level of protein binding in mouse serum was 98.4%. The time course of in vivo activity of dalbavancin over the same dose range was examined in neutropenic ICR Swiss mice infected with a strain of either Streptococcus pneumoniae or Staphylococcus aureus by using the thigh infection model. The burden of organisms for S. pneumoniae was markedly reduced over the initial 24 h of study, and organism regrowth was suppressed in a dose-dependent fashion for up to the entire 96 h of study following dalbavancin doses of 2.5 mg/kg or greater. Dalbavancin doses of 20 mg/kg or greater resulted in less killing of S. aureus but were still followed by a prolonged suppression of regrowth. Multiple-dosing-regimen studies with the same organisms were used to determined which of the pharmacodynamic indices (maximum concentration in serum [C(max)]/MIC, area under the concentration-versus-time curve [AUC]/MIC, or the duration of time that levels in serum exceed the MIC) best correlated with treatment efficacy. These studies used a dose range of 3.8 to 480 mg/kg/6 days fractionated into 2, 4, 6, or 12 doses over the 144-h dosing period. Nonlinear regression analysis was used to examine the data fit with each pharmacodynamic index. Dalbavancin administration by the use of large, widely spaced doses was the most efficacious for both organisms. Both the 24-h AUC/MIC and the C(max)/MIC parameters correlated well with the in vivo efficacy of treatment against S. pneumoniae and S. aureus (for 24-h AUC/MIC, R(2) = 78 and 77%, respectively; for C(max)/MIC, R(2) = 90 and 57%, respectively). The free-drug 24-h AUC/MICs required for a bacteriostatic effect were 17 +/- 7 for five S. pneumoniae isolates. A similar treatment endpoint for the treatment against five strains of S. aureus required a larger dalbavancin exposure, with a mean free-drug 24-h AUC/MIC of 265 +/- 143. Beta-lactam resistance did not affect the pharmacodynamic target. The dose-response curves were relatively steep for both species; thus, the pharmacodynamic target needed to achieve organism reductions of 1 or 2 log(10) in the mice were not appreciably larger (1.3- to 1.6-fold). Treatment was similarly efficacious in neutropenic mice and in the lung infection model. The dose-dependent efficacy and prolonged elimination half-life of dalbavancin support the widely spaced regimens used in clinical trials. The free-drug 24-h AUC/MIC targets identified in these studies should be helpful for discerning rational susceptibility breakpoints. The current MIC(90) for the target gram-positive organisms would fall within this value.     

In vivo pharmacodynamic interactions between two drugs used in orthostatic hypotension--midodrine and dihydroergotamine

A combination of midodrine and dihydroergotamine (DHE) is frequently used clinically in patients suffering from severe orthostatic hypotension (OH). Whereas midodrine acts as a selective, peripheral alpha1-receptor agonist, DHE displays complex pharmacology and can behave as an alpha-adrenergic receptor agonist or antagonist. Surprisingly, the consequences of such a combination on blood pressure have never been investigated. The present study was performed in order to evaluate the pressor effects induced by the administration of both midodrine and DHE in old conscious dogs (n = 6) in experimental condition reproducing autonomic failure-related baroreflex dysfunction (atropine 0.1 mg/kg). For this purpose, we first studied the relative potency and intrinsic activity of each agonist and noradrenaline (NA) for the alpha1-adrenergic receptor. The orders of potency obtained in our study were 0.35, 11 and 400 microg/kg for NA, DHE and midodrine, and intrinsic activity: NA > midodrine > DHE. These results strongly suggest that DHE really acts in vivo as an alpha1-adrenoceptor partial agonist. Afterwards, the pressor effects of coadministration of midodrine (0.4 mg/kg) and DHE (15 microg/kg) were investigated: in one setting, midodrine was first administered, followed by DHE; in another, DHE was first administered, followed by midodrine. Our results show that in conscious dogs, the combination of midodrine and DHE leads to near-complete abolition of the pressor effect induced by the first administered drug. This in vivo proof of such antagonistic effects on blood pressure could explain clinical observations of worsening of OH in humans administered midodrine plus DHE. Although in vivo results obtained in conscious healthy dogs need to be experimentally and clinically confirmed in humans suffering from OH, these results strongly suggest that a midodrine-DHE combined treatment should be avoided in clinical practice.     

Use of pharmacodynamic indices to predict efficacy of combination therapy in vivo.

Although combination therapy with antimicrobial agents is often used, no available method explains or predicts the efficacies of these combinations satisfactorily. Since the efficacies of antimicrobial agents can be described by pharmacodynamic indices (PDIs), such as area under the concentration-time curve (AUC), peak level, and the time that the concentration is above the MIC (time>MIC), it was hypothesized that the same PDIs would be valid in explaining efficacy during combination therapy. Twenty-four-hour efficacy data (numbers of CFU) for Pseudomonas aeruginosa in a neutropenic mouse thigh model were determined for various combination regimens: ticarcillin-tobramycin (n = 41 different regimens), ceftazidime-netilmicin (n = 60), ciprofloxacin-ceftazidime (n = 59), netilmicin-ciprofloxacin (n = 38) and for each of these agents given singly. Multiple regression analysis was used to determine the importance of various PDIs (time>MIC, time>0.25 x the MIC, time>4 x the MIC, peak level, AUC, AUC/MIC, and their logarithmically transformed values) during monotherapy and combination therapy. The PDIs that best explained the efficacies of single-agent regimens were time>0.25 x the MIC for beta-lactams and log AUC/MIC for ciprofloxacin and the aminoglycosides. For the combination regimens, regression analysis showed that efficacy could best be explained by the combination of the two PDIs that each best explained the response for the respective agents given singly. A regression model for the efficacy of combination therapy was developed by use of a linear combination of the regression models of the PDI with the highest R(2) for each agent given singly. The model values for the single-agent therapies were then used in that equation, and the predicted values that were obtained were compared with the experimental values. The responses of the combination regimens could best be predicted by the sum of the responses of the single-agent regimens as functions of their respective PDIs (e.g., time>0.25 x the MIC for ticarcillin and log AUC/MIC for tobramycin). The relationship between the predicted response and the observed response for the combination regimens may be useful for determination of the presence of synergism. We conclude that the PDIs for the individual drugs used in this study are class dependent and predictive of outcome not only when the drugs are given as single agents but also when they are given in combination. When given in combination, there appears to be a degree of synergism independent of the dosing regimen applied.     

Mechanism-based modeling of the pharmacodynamic interaction of alphaxalone and midazolam in rats

The objective of the present investigation was to characterize the pharmacodynamic interaction between the synthetic neuroactive steroid alphaxalone and the benzodiazepine midazolam. The time course of the electroencephalographic (EEG) effect (11.5-30 Hz) was determined in rats in conjunction with plasma concentrations. Alphaxalone was administered as a continuous intravenous infusion of 0, 1.2, 2.2, or 5.2 mg over 360 min. Midazolam was administered as a 5-min intravenous bolus infusion of 4 mg.kg-1. The pharmacokinetic profiles of both drugs were described by a two-compartment model. No pharmacokinetic interaction was observed. The EEG effect versus time profiles of midazolam and alphaxalone, when administered separately and in combination, were modeled on the basis of the recently proposed mechanism-based pharmacokinetic/pharmacodynamic model for GABAA receptor modulators, which contains separate expressions to describe the drug-receptor interaction and the stimulus-response relationship. The pharmacodynamic interaction between alphaxalone and midazolam was best characterized using an independent drug-drug interaction model without an expression for allosteric modulation of the effect of midazolam by alphaxalone. The final model contained an exponential expression to account for acute functional adaptation to the EEG effect upon continuous infusion of alphaxalone. The mechanism-based analysis showed that this functional adaptation is best explained by a change in the system-specific stimulus-response relationship, rather than the drug-receptor activation process. It is concluded that the pharmacodynamic interaction between alphaxalone and midazolam in vivo is best described using an independent interaction model without allosteric modulation.     

Characterization of the pharmacodynamic interaction between parent drug and active metabolite in vivo: midazolam and alpha-OH-midazolam

The pharmacodynamic interaction between midazolam and its active metabolite alpha-OH-midazolam was investigated to evaluate whether estimates of relevant pharmacodynamic parameters are possible after administration of a mixture of the two. Rats were administered 10 mg/kg of midazolam, 15 mg/kg of alpha-OH-midazolam, or a combination of 3.6 mg/kg of midazolam and 35 mg/kg of alpha-OH-midazolam. Increase in the 11.5- to 30-Hz frequency band of the electroencephalogram was used as the pharmacodynamic endpoint. The pharmacodynamics of midazolam and alpha-OH-midazolam after combined administration were first analyzed according to an empirical and a competitive interaction model to evaluate each model's capability in retrieving the pharmacodynamic estimates of both compounds. Both models failed to accurately estimate the true pharmacodynamic estimates of midazolam and alpha-OH-midazolam. The pharmacodynamic interaction was subsequently analyzed according to a new mechanism-based model. This approach is based on classical receptor theory and allows estimation of the in vivo estimated receptor affinity and intrinsic in vivo drug efficacy. The relationship between stimulus and effect is characterized by a monotonically increasing function f, which is assumed to be identical for midazolam and alpha-OH-midazolam. The pharmacodynamic interaction is characterized by the classical equation for the competition between two substrates for a common receptor site. This mechanism-based interaction model was able to estimate the pharmacodynamic parameters of both midazolam and alpha-OH-midazolam with high accuracy. It is concluded that pharmacodynamic parameters of single drugs can be estimated after a combined administration when a mechanistically valid interaction model is applied.     

Development of in vivo bioequivalence methodology for dermatologic corticosteroids based on pharmacodynamic modeling.

BACKGROUND: Dermatologic corticosteroid products produce skin blanching that is related to clinical potency and dose. (For application of the vasoconstrictor assay to bioavailability and bioequivalence assessment, dose is defined in terms of duration of treatment exposure [dose duration], so the terms dose and dose duration have been used interchangeably). The vasoconstrictor assay is the method of choice to assess dermatologic corticosteroid products bioequivalence if dose-response is validated. This article examines dose-response validation to meet objectives of US Food and Drug Administration (FDA) bioequivalence guidance for dermatologic corticosteroid products. METHODS: An exploratory dose-response study was conducted to determine applicability of the empirical maximum effect (Emax) model to the individual subject and population dose-response relationships of six dermatologic corticosteroid product creams that varied from the most to the least potent classes. Products were applied to the skin of 10 healthy subjects in each of two dosing periods for dose durations of 0.5, 1, 2, and 6 hours. Skin blanching was measured by reflectance colorimeter through 24 hours after application. Area under the effect curve (AUEC) was determined for each dose duration. An Emax model was fitted to the AUEC versus dose duration data. A similar analysis was conducted for a bioequivalence study on two formulations of a dermatologic corticosteroid product in 40 healthy subjects. RESULTS: In the exploratory study, the number of individual subject data sets for which the Emax model provided an acceptable fit generally increased with the potency of the dermatologic corticosteroid product. On the basis of population modeling, dose-response data of all products, except the lowest potency cream, were adequately described by the Emax model. Values for population ED50 (the dose duration required to achieve 50% of the fitted AUECmax value) decreased with increase in dermatologic corticosteroid product potency. CONCLUSIONS: Acceptable model fits to all individual subject dose-response data were not achieved for any dermatologic corticosteroid product. However, population dose-responses were adequately described by the Emax model. On the basis of these data, the optimal dose duration used for comparison of multisource dermatologic corticosteroid products is recommended to be equal to the ED50 based on population modeling of pilot dose-response study data.     

Pharmacodynamic modeling of the in vivo interaction between cefotaxime and ofloxacin by using serum ultrafiltrate inhibitory titers.

The pharmacokinetics (PK) and pharmacodynamics (PD) of cefotaxime and ofloxacin and of their combination were examined in a three-period randomized crossover study involving 12 healthy adults. The PK of cefotaxime and ofloxacin were modeled. PD was assessed from the predicted concentrations in serum and serum untrafiltrate inhibitory titers for 10 test organisms. An inhibitory sigmoid Emax model based on the probability of bacterial growth was used, where Emax = 1 and EC50 is the concentration resulting in a 50% probability of growth. The total body clearance (CL(T)) and volume of distribution at steady state (V(SS)) for cefotaxime were 0.236 liters/kg/h and 0.207 liters/kg, respectively, for the monotherapy and 0.231 liters/kg/h and 0.208 liters/kg for the combination therapy. Ofloxacin exhibited PK parameters of 0.143 liters/kg/h for CL(T) and 1.20 liters/kg for V(SS) following the monotherapy and of 0.141 liters/kg/h for CL(T) and 1.16 liters/kg for V(SS) following combination therapy. For the combination therapy, an interaction term, theta, defined the type and relative extent of interaction. The range of observed theta values (-0.033 to 0.067) is consistent with an additive PD interaction according to standards similar to those used for the in vitro fractional inhibitory concentration index.     

In vivo interaction of ketoconazole and sucralfate in healthy volunteers.

Absorption of ketoconazole is impaired in subjects with an increased gastric pH due to administration of antacids, H2-receptor antagonists, proton pump inhibitors, or the presence of hypochlorhydria. Sucralfate could provide an attractive alternative in patients receiving ketoconazole who require therapy for acid-peptic disorders. Twelve healthy human volunteers were administered a single 400-mg oral dose of ketoconazole in each of three randomized treatment phases. In phase A, ketoconazole was administered orally with 240 ml of water. In phase B, ketoconazole and sucralfate (1.0 g) were administered simultaneously with 240 ml of water. In phase C, ketoconazole was administered with 240 ml of water 2 h after administration of sucralfate (1.0 g) orally with 240 ml of water. A 680-mg oral dose of glutamic acid hydrochloride was administered 10 min prior to and with each dose of ketoconazole, sucralfate, or ketoconazole plus sucralfate. Simultaneous administration of ketoconazole and sucralfate led to a significant reduction in the area under the concentration-time curve and maximal concentration of ketoconazole in serum (78.12 +/- 12.20 versus 59.32 +/- 13.61 micrograms.h/ml and 12.34 +/- 3.07 versus 8.92 +/- 2.57 micrograms/ml, respectively; P < 0.05). When ketoconazole was administered 2 h after sucralfate, the observed ketoconazole area under the concentration-time curve was not significantly decreased compared with that of ketoconazole alone. The time to maximal concentrations in serum and the ketoconazole elimination rate constant were not significantly different in any of the three treatment phases. In patients receiving concurrent administration of ketoconazole and sucralfate, doses should be separated by at least 2 h.     

In vivo pharmacodynamic characterization of anidulafungin in a neutropenic murine candidiasis model

Multiple in vivo studies have characterized the pharmacodynamics of drugs from the triazole and polyene antifungal drug classes. Fewer studies have investigated these pharmacodynamic relationships for the echinocandin drug class. We used a neutropenic murine model of disseminated Candida albicans, Candida tropicalis, and Candida glabrata infection to characterize the time course of activity of the new echinocandin anidulafungin. The pharmacokinetic-pharmacodynamic (PK-PD) indices (the percentage of time that the drug concentration was above the MIC, the ratio of the area under the concentration-time curve from 0 to 24 h [AUC(0-24)] to the MIC, and the ratio of the maximum serum drug concentration [C(max)] to the MIC) were correlated with in vivo efficacy, as measured by organism numbers in kidney cultures after 96 h of therapy. The kinetics following intraperitoneal anidulafungin dosing in neutropenic infected mice were monitored. Peak levels and AUCs were linear over the 16-fold dose range studied. The drug elimination half-life in serum ranged from 14 to 24 h. Single-dose postantifungal-effect studies demonstrated prolonged suppression of organism regrowth after serum anidulafungin levels had fallen below the MIC. Of the four dosing intervals studied, treatment with the more widely spaced dosing regimens was most efficacious, suggesting the C(max)/MIC ratio as the PK-PD index most predictive of efficacy. Nonlinear regression analysis suggested that both the C(max)/MIC and AUC/MIC ratios were strongly predictive of treatment success. Studies were then conducted with 13 additional C. albicans, C. tropicalis, and C. glabrata isolates with various anidulafungin susceptibilities (MICs of anidulafungin for these strains, 0.015 to 2.0 microg/ml) to determine if similar C(max)/MIC and AUC(0-24)/MIC ratios for these isolates were associated with efficacy. The anidulafungin exposures associated with efficacy were similar among Candida species.     

Pharmacokinetic and pharmacodynamic interaction between furosemide and metolazone in man

In various clinical situations a poor diuretic response to furosemide may be improved by the addition of metolazone. The mechanism of this additive effect is unclear. The purpose of the present investigation was to establish whether metolazone changes the pharmacokinetics of furosemide and by this mechanism enhances the diuretic effect. Eight volunteers were given an intravenous infusion of 4 mg h-1 of furosemide for 12 h. After 6 h 2.5 mg metolazone were administered orally. The addition of metolazone increased diuresis, urinary excretion of sodium and chloride (P less than 0.01), but decreased urinary excretion of calcium (P less than 0.01), while furosemide excretion remained unchanged. Total body clearance and renal clearance values of furosemide were similar before and after administration of metolazone. Our data confirm the additive diuretic effect of the combination treatment metolazone-furosemide and show for the first time a distinct hypocalciuric action of metolazone, similar to thiazides. Moreover metolazone does not affect the pharmacokinetics of furosemide.     

In vivo synergistic interaction of liposome-coencapsulated gentamicin and ceftazidime.

Antimicrobial agents may interact synergistically. But to ensure synergy in vivo, the drugs should both be present at the site of infection at sufficiently high concentrations for an adequate period of time. Coencapsulation of the drugs in a drug carrier may ensure parallel tissue distributions. Since liposomes localize preferentially at sites of infection, this mode of drug delivery could, in addition, increase drug concentrations at the focus of infection. The therapeutic efficacy of gentamicin and ceftazidime coencapsulated into liposomes was examined by monitoring survival in a rat model of an acute unilateral pneumonia caused by antibiotic-susceptible and antibiotic-resistant Klebsiella pneumoniae strains. It is shown that administration of gentamicin in combination with ceftazidime in the free form either as single dose or as 5-day treatment resulted in an additive effect on rat survival in both models. In contrast, targeted delivery of liposome-coencapsulated gentamicin and ceftazidime resulted in a synergistic interaction of the antibiotics in both models. Consequently, liposome coencapsulation of gentamicin and ceftazidime allowed both a shorter course of treatment at lower cumulative doses compared with administration of the antibiotics in the free form to obtain complete survival of rats. Liposomal coencapsulation of synergistic antibiotics may open new perspectives in the treatment of severe infections.     

Neurokinin 1 receptor antagonists: correlation between in vitro receptor interaction and in vivo efficacy

We compared the neurokinin 1 receptor (NK(1)R) antagonists aprepitant, CP-99994 [(2S,3S)-3-(2-methoxybenzylamino)-2-phenylpiperidine], and ZD6021 [3-cyano-N-((2S)-2-(3,4-dichlorophenyl)-4-[4-[2-(methyl-(S)-sulfinyl)phenyl]piperidino]butyl)-N-methyl]napthamide]] with respect to receptor interactions and duration of efficacy in vivo. In Ca(2+) mobilization assays (fluorometric imaging plate reader), antagonists were applied to human U373MG cells simultaneously with or 2.5 min before substance P (SP). In reversibility studies, antagonists were present for 30 min before washing, and responses to SP were repeatedly measured afterward. The compounds were administered i.p. to gerbils, and the gerbil foot tap (GFT) response was monitored at various time points. The NK(1)R receptor occupancy for aprepitant was determined in striatal regions. Levels of compound in brain and plasma were measured. Antagonists were equipotent at human NK(1)R and acted competitively with SP. After preincubation, aprepitant and ZD6021 attenuated the maximal responses, whereas CP-99994 only shifted the SP concentration-response curve to the right. The inhibitory effect of CP-99994 was over within 30 min, whereas for ZD6021, 50% inhibition still persisted after 60 min. Aprepitant produced maximal inhibition lasting at least 60 min. CP-99994 (3 micromol/kg) inhibited GFT by 100% 15 min after administration, but the effect declined rapidly together with brain levels thereafter. The efficacy of ZD6021 (10 micromol/kg) lasted 4 h and correlated well with brain levels. Aprepitant (3 micromol/kg) inhibited GFT and occupied striatal NK(1)R by 100% for >48 h despite that brain levels of compound were below the limit of detection after 24 h. Slow functional reversibility is associated with long-lasting in vivo efficacy of NK(1)R antagonists, whereas the efficacy of compounds with rapid reversibility is reflected by their pharmacokinetics.     

Lack of pharmacokinetic or pharmacodynamic interaction between memantine and donepezil

BACKGROUND: Memantine, a low- to moderate-affinity, uncompetitive N-methyl-D-aspartate receptor antagonist, was approved in the US for treatment of moderate to severe Alzheimer's disease in October 2003. OBJECTIVE: To determine whether an in vivo pharmacokinetic interaction exists between memantine and the acetylcholinesterase (AChE) inhibitor donepezil. METHODS: In this open-label, multiple-dose study, 24 healthy subjects (aged 18-35 y) received oral administration of memantine 10 mg on day 1. Following a 14-day washout period, subjects were orally administered donepezil 5 mg once daily for 7 days on an outpatient basis. Beginning on day 22, the donepezil dosage was doubled for 22 days to the target dose of 10 mg once daily, with the last donepezil dose concomitantly administered with memantine 10 mg on day 43. Assessments included pharmacokinetic as well as safety parameters. In addition, AChE inhibition was measured in red blood cells by radiolabeled-enzyme assay following administration of donepezil alone and after a single memantine dose. RESULTS: Data from 19 subjects who completed the study indicated no significant pharmacokinetic interactions between a single dose of memantine and multiple doses of donepezil. Percent maximum inhibition of AChE activity (mean +/- SD) by donepezil was 77.8 +/- 7.3% and not significantly different upon coadministration of a single dose of memantine (81.1 +/- 5.7%). Two subjects withdrew due to adverse events while taking donepezil alone. Single memantine doses administered with multiple donepezil doses were well tolerated. CONCLUSIONS: The pharmacokinetic and pharmacodynamic data from this study indicated a lack of interaction between memantine and donepezil, suggesting that memantine and donepezil may be safely and effectively used in combination.     

In vivo efficacy of shipped HLA-matched platelets

BACKGROUND: Platelet (PLT) concentrates are currently stored in an incubator at 20 to 24 degrees C with continuous gentle agitation. PLTs are routinely shipped for transfusion to thrombocytopenic patients, however. There is a concern that PLT concentrates may be adversely affected during the shipping process. CASE REPORT: A 40-year-old woman with severe aplastic anemia and immune refractory to unselected PLT transfusions was transferred to a distant medical center for a hematopoietic peripheral blood progenitor cell transplant where she continued to receive HLA-matched PLTs from her dedicated donors. Sixteen such components were collected and air-shipped in insulated boxes to the transplant center. Thirty-seven plateletpheresis components from the same dedicated donors had been transfused to the patient before transfer. Corrected count increments (CCIs) at the two sites were compared, with assessment of the role of HLA-match grades. The mean interruption time of controlled agitation during shipment was approximately 10.5 hours. The mean CCI of all distant transfusions was 14,450 +/- 9700 PLTs per microL x m2 per 10(11) and that of local transfusions was 10730 +/- 4870. The mean donor-paired difference between CCIs at the two sites was 1140 +/- 9940. At the remote location no clinically significant bleeding occurred and one posttransfusion febrile reaction was noted. CONCLUSION: Despite the study limitations, the effectiveness, in a single patient, of leukoreduced, irradiated apheresis PLTs shipped by lengthy combined surface and airline transport is reported, as measured by posttransfusion CCIs.     

Mechanism-based pharmacodynamic modeling of S(-)-atenolol: estimation of in vivo affinity for the beta1-adrenoceptor with an agonist-antagonist interaction model

The aim of this study was the development of an agonist-antagonist interaction model to estimate the in vivo affinity of S(-)-atenolol for the beta(1)-adrenoreceptor. Male Wistar-Kyoto (WKY) rats were used to characterize the interaction between the model drugs isoprenaline (to induce tachycardia) and S(-)-atenolol. Blood samples were taken to determine plasma pharmacokinetics. Reduction of isoprenaline-induced tachycardia was used as a pharmacodynamic endpoint. The pharmacokinetic-pharmacodynamic relationship of isoprenaline was first characterized with the operational model of agonism using the literature value for the affinity (K(A)) of isoprenaline (3.2 x 10(-8) M; left atria WKY rats). Resulting estimates for baseline (E(0)), maximal effect (E(max)), and efficacy (tau) were 374 (1.9%), 130 (5.9%), and 247 (33%) beats per minute, respectively. In addition, the interaction between isoprenaline and S(-)-atenolol was characterized using a pharmacodynamic interaction model based on the operational model of agonism that describes the heart rate response based on the affinity of the agonist (K(A)), the affinity of the antagonist (K(B)), the efficacy (tau), the maximal effect (E(max)), the Hill coefficient (n(H)), the concentrations of isoprenaline and atenolol, and the displacement of the endogenous agonist adrenaline. The estimated in vivo affinity (K(B)) of S(-)-atenolol for the beta(1) -receptor was 4.6 x 10(-8) M. The obtained estimate for in vivo affinity of S(-)-atenolol (4.6 x 10(-8) M) is comparable to literature values for the in vitro affinity in functional assays. In conclusion, a meaningful estimate of in vivo affinity for S(-)-atenolol could be obtained using a mechanism-based pharmacodynamic modeling approach.