Sreedharan Nair Sabarinath

Skin and soft tissue concentrations of tedizolid (formerly torezolid), a novel oxazolidinone, following a single oral dose in healthy volunteers

Plasma concentrations of antimicrobial drugs have long been used to correlate exposure with effect, yet one cannot always assume that unbound plasma and tissue concentrations are similar. Knowledge about unbound tissue concentrations is important in the development of antimicrobial drugs, since most infections are localised in tissues. Therefore, a clinical microdialysis study was conducted to evaluate the distribution of tedizolid (TR-700), the active moiety of the antimicrobial prodrug tedizolid phosphate (TR-701), into interstitial fluid (ISF) of subcutaneous adipose and skeletal muscle tissues following a single oral 600 mg dose of tedizolid phosphate in fasting conditions. Twelve healthy adult subjects were enrolled. Two microdialysis probes were implanted into the thigh of each subject, one into the vastus medialis muscle and one into subcutaneous adipose tissue. Probes were calibrated using retrodialysis. Dialysate samples were collected every 20 min for 12h following a single oral dose of 600 mg tedizolid phosphate, and blood samples were drawn over 24h. Unbound tedizolid levels in plasma were similar to those in muscle and adipose tissue. The ratios of unbound (free) AUC in tissues over unbound AUC in plasma (fAUC(tissue)/fAUC(plasma)) were 1.1 ± 0.2 and 1.2 ± 0.2 for adipose and muscle tissue, respectively. The median half-life was 8.1, 9.2 and 9.6h for plasma, adipose tissue and muscle tissue, respectively. Mean protein binding was 87.2 ± 1.8%. The study drug was very well tolerated. The results of this study show that tedizolid distributes well into ISF of adipose and muscle tissues. Unbound levels of tedizolid in plasma, adipose tissue and muscle tissue were well correlated. Free plasma levels are indicative of unbound levels in the ISF of muscle and adipose tissues.

Preadolescent tobacco smoke exposure leads to acute nicotine dependence but does not affect the rewarding effects of nicotine or nicotine withdrawal in adulthood in rats

Epidemiological studies indicate that parental smoking increases the risk for smoking in children. However, the underlying mechanisms by which parental smoking increases the risk for smoking are not known. The aim of these studies was to investigate if preadolescent tobacco smoke exposure, postnatal days 21-35, affects the rewarding effects of nicotine and nicotine withdrawal in adult rats. The rewarding effects of nicotine were investigated with the conditioned place preference procedure. Nicotine withdrawal was investigated with the conditioned place aversion procedure and intracranial self-stimulation (ICSS). Elevations in brain reward thresholds in the ICSS paradigm reflect a dysphoric state. Plasma nicotine and cotinine levels in the preadolescent rats immediately after smoke exposure were 188 ng/ml and 716 ng/ml, respectively. Preadolescent tobacco smoke exposure led to the development of nicotine dependence as indicated by an increased number of mecamylamine-precipitated somatic withdrawal signs in the preadolescent tobacco smoke exposed rats compared to the control rats. Nicotine induced a similar place preference in adult rats that had been exposed to tobacco smoke or air during preadolescence. Furthermore, mecamylamine induced place aversion in nicotine dependent rats but there was no effect of preadolescent tobacco smoke exposure. Finally, preadolescent tobacco smoke exposure did not affect the elevations in brain reward thresholds associated with precipitated or spontaneous nicotine withdrawal. These studies indicate that passive exposure to tobacco smoke during preadolescence leads to the development of nicotine dependence but preadolescent tobacco smoke exposure does not seem to affect the rewarding effects of nicotine or nicotine withdrawal in adulthood.

Soft-Tissue Penetration of Ceftobiprole in Healthy Volunteers Determined by In Vivo Microdialysis

ABSTRACT Ceftobiprole is a promising new broad-spectrum cephalosporin with activity against several multidrug-resistant gram-positive and gram-negative species, including methicillin-resistant Staphylococcus aureus. In order to make efficacy predications against these resistant bacteria in soft-tissue infections, i.e., skin and skin structure infections, ceftobiproles ability to reach the site of action should be explored. Therefore, a microdialysis study was conducted in 12 healthy volunteers to determine the penetration of ceftobiprole into skeletal muscle and subcutaneous (s.c.) adipose tissue after a single intravenous dose of 500 mg. Plasma and tissue interstitial space fluid (ISF) drug concentrations were measured for 24 h from the start of the 2-h intravenous infusion. Pharmacokinetic parameters were determined using noncompartmental analysis. The penetration of ceftobiprole into the ISF of tissues was assessed by comparing the ratios between tissue and plasma of the free drug area under the concentration-time curve (fAUC). It was found that ceftobiprole distributes into the muscle (fAUCmuscle/fAUCplasma of 0.69 ± 0.13) and s.c. adipose tissue (fAUCs.c.adipose/fAUCplasma of 0.49 ± 0.28). The concentrations in both skeletal muscle and s.c. adipose tissue met the efficacy breakpoint (percentage of the time that free drug concentrations remained above the MIC) for at least 40% of the 8-h dosing interval for organisms with a MIC of 2 mg/liter. Therefore, ceftobiprole qualifies as a potential agent with drug penetration capabilities to treat complicated skin and skin structure infections due to both gram-negative and gram-positive pathogens with MICs equal to or below 2 mg/liter.

Pharmacokinetic-Pharmacodynamic Modeling of the In Vitro Activities of Oxazolidinone Antimicrobial Agents against Methicillin-Resistant Staphylococcus aureus

ABSTRACT Linezolid is the first FDA-approved oxazolidinone with activity against clinically important gram-positive pathogens, including methicillin (meticillin)-resistant Staphylococcus aureus (MRSA). RWJ-416457 is a new oxazolidinone with an antimicrobial spectrum similar to that of linezolid. The goal of the present study was to develop a general pharmacokinetic (PK)-pharmacodynamic (PD) model that allows the characterization and comparison of the in vitro activities of oxazolidinones, determined in time-kill curve experiments, against MRSA. The in vitro activities of RWJ-416457 and the first-in-class representative, linezolid, against MRSA OC2878 were determined in static and dynamic time-kill curve experiments over a wide range of concentrations: 0.125 to 8 μg/ml (MIC, 0.5 μg/ml) and 0.25 to 16 μg/ml (MIC, 1 μg/ml), respectively. After correction for drug degradation during the time-kill curve experiments, a two-subpopulation model was simultaneously fitted to all data in the NONMEM VI program. The robustness of the model and the precision of the parameter estimates were evaluated by internal model validation by nonparametric bootstrap analysis. A two-subpopulation model, consisting of a self-replicating, oxazolidinone-susceptible and a persistent, oxazolidinone-insusceptible pool of bacteria was appropriate for the characterization of the time-kill curve data. The PK-PD model identified was capable of accounting for saturation in growth, delays in the onsets of growth and drug-induced killing, as well as naturally occurring bacterial death. The simultaneous fit of the proposed indirect-response, maximum-effect model to the data resulted in concentrations that produced a half-maximum killing effect that were significantly (P < 0.05) lower for RWJ-416457 (0.41 μg/ml) than for linezolid (1.39 μg/ml). In combination with the appropriate PK data, the susceptibility-based two-subpopulation model identified may provide valuable guidance for the selection of oxazolidinone doses or dose regimens for use in clinical studies.

Population pharmacokinetics of steady-state carbamazepine in Egyptian epilepsy patients.

What is Known and Objective:  Individualization of carbamazepine (CBZ) dosage regimen in patients with epilepsy based on based on therapeutic drug monitoring (TDM) followed by estimation of pharmacokinetic (PK) parameters can help in better control of epilepsy. Our objective was to establish a population (POP) PK model of CBZ for Egyptian adult and pediatric patients with epilepsy.

Cortisol suppression as a surrogate marker for inhaled corticosteroid-induced growth retardation in children.

Exposure of inhaled corticosteroids (ICSs) in pediatrics results in adrenal suppression and growth inhibition. The objective of this study was to assess the relationship of ICS mediated growth retardation with cortisol suppression in asthmatic children. A meta-analysis approach was performed with 33 published articles. Growth velocity (GV) data were obtained from the literature for evaluation of growth. Cumulative cortisol suppression within 24h (CCS%) was calculated at steady state with a validated algorithm. Consolidated GV and CCS% data were employed for model development. A linear mixed effects model was developed to adequately describe the relationship between GV and CCS%. No impact of tested covariates was observed. Population estimate of the rate of change in GV was -0.06cm/year/CCS% (12.7%, coefficient of variation) for both stadiometry and knemometry methods. However, GV from stadiometry is expected to be approximately three fold higher than that from knemometry when cortisol suppression was not presented. The final model was evaluated with posterior predictive check and pattern check approaches. The results from this study elucidate CCS% as an excellent predictor of ICS mediated growth retardation in asthmatic children.

Suppression of ciprofloxacin-induced resistant Pseudomonas aeruginosa in a dynamic kill curve system.

Current dosing approaches for treating microbial infections ignore resistant subpopulations. A clinical isolate of Pseudomonas aeruginosa was cultured in a dynamic in vitro kill curve system designed to simulate the half-lives of drugs in order to evaluate the drug-microbial response relationship. The first dose of ciprofloxacin (CIP) uses a concentration equivalent to the unbound fraction of a 200mg clinical dose. A second dose of 200mg or 600 mg CIP, or ceftriaxone (CFX) or gentamicin (GEN) was administered at 12h. Dynamics of the minimum inhibitory concentration (MIC) were assessed using Etest strips before and throughout the CIP treatment period. In addition, the microbroth dilution method was used to evaluate drug susceptibility across a wide range of antibiotics using samples from before and after CIP exposure. A significant loss of CIP effects was observed at the second dose. Cross-resistance to many antibiotics (cefoxitin, cefuroxime, cefotetan, ampicillin and ertapenem) was observed. GEN, but not CFX or high-dose CIP, was sufficient to suppress the developed resistant subpopulation following the initial CIP exposure. The CIP MIC increased substantially from 0.13 μg/mL pre dose to 4 μg/mL at 12h after a CIP dose. In addition, aztreonam induced a similar resistance pattern as CIP, indicating that induction of resistance was not limited to fluoroquinolones. In conclusion, the in vitro dynamic kill curve system revealed that aminoglycosides, more than other classes of antibiotics, were effective against the CIP-induced resistant subpopulations.

Pharmacometrics in Dose Finding or Dose Optimization of Anti-Retroviral and Anti-Tubercular Drugs

Drug development continues to be time consuming, expensive and less efficient, while drug therapy is often administered at suboptimal levels. This is particularly true with anti-infectives for HIV and tuberculosis. The application of pharmacometric principles and models to drug development and pharmacotherapy will improve the drug approval process and selection of optimal dosage regimens or therapeutic combinations. In this review we mainly focus on the utilities of pharmacometrics in the dose selections of anti-retroviral and anti-tubercular drugs. We will examine how pharmacometrics have been useful in the area of dose selections, preclinical to clinical scaling, subpopulation selections, combination therapies, adherence assessments, and resistance prevention dosing strategies.

Pharmacokinetics I: PK-PD approaches - antibiotic drug development

The success of antibiotic therapy depends on complex interplay between the administered drug, its mechanism of action, concentration at site of infection, and complexity or severity of infection. Therapeutic response to an anti-infective agent or its pharmacological effect is often associated with high variability in clinical situations. Pharmacokinetics (PK) and pharmacodynamics (PD) contribute to a better understanding of the relationship between drug concentrations in biological fluids and its pharmacological effect. PK-PD studies can provide a means for exploring important pharmacological and toxicological properties of a drug in animals and humans. An integrated PK-PD approach, linking the exposure of a drug and the modulation of pharmacological targets, physiological pathways and ultimately disease systems, can be used to develop unified understanding of the data collected during different stages of drug discovery, which can also be applied in the drug development process. PK-PD relationships can be expressed by numerous mathematical models which have been increasingly demonstrated to be predictive of therapeutic outcomes during the development process. The PK-PD modelling and simulation approaches can streamline drug development and help make crucial decisions. These decisions include but not limited to planning clinical trials and designing optimal dosing strategies, both of which can be extremely costly and critical to the compound being developed if incorrect decisions are made. The purpose of this chapter is to discuss how PK-PD correlations and modelling and simulation process can be applied to drug development emphasizing antibiotic drug development.