Circulating cell-free DNA is considered as one of the major breakthroughs in the field of innovative diagnosis, used as a liquid biopsy. The kinetic parameters of a biomarker are mandatory to assess its usefulness as a diagnostic tool. Obtaining precise mathematical values for the kinetic parameters (e.g., half-life) is then crucial because it could be used for therapeutic monitoring as a prognostic factor. However, little is known about the intrinsic properties of circulating cell-free DNA, more especially, its kinetic properties within the organism. We summarized the basic principles that may affect the kinetics of circulating cell-free DNA within the organism in the light of biological and clinical evidence. We also meta-analyzed the reported data in the literature and the methodologies that have been used to study the kinetic parameters of human circulating cell-free DNA in vivo.

The allometric power model developed in this study best reflected the data and may be useful for dose adjustment.

Population pharmacokinetic analysis is used to estimate pharmacokinetic parameters and their variability from concentration data. Due to data sparseness issues, available datasets often do not allow the estimation of all parameters of the suitable model. The PRIOR subroutine in NONMEM supports the estimation of some or all parameters with values from previous models, as an alternative to fixing them or adding data to the dataset. From a literature review, the best practices were compiled to provide a practical guidance for the use of the PRIOR subroutine in NONMEM. Thirty-three articles reported the use of the PRIOR subroutine in NONMEM, mostly in special populations. This approach allowed fast, stable and satisfying modelling. The guidance provides general advice on how to select the most appropriate reference model when there are several previous models available, and to implement and weight the selected parameter values in the PRIOR function. On the model built with PRIOR, the similarity of estimates with the ones of the reference model and the sensitivity of the model to the PRIOR values should be checked. Covariates could be implemented a priori (from the reference model) or a posteriori, only on parameters estimated without prior (search for new covariates). Graphic abstract

Background and ObjectiveProprotein convertase subtilisin/kexin type 9 inhibition with monoclonal antibodies such as alirocumab significantly reduces low-density lipoprotein-cholesterol levels ± other lipid-lowering therapies. We aimed to develop and qualify a population pharmacokinetics (PopPK) model for alirocumab in healthy subjects and patients, taking into account the mechanistic target-mediated drug disposition (TMDD) process.MethodsThis TMDD model was developed using a subset of the alirocumab clinical trial database, including nine phase I/II/III studies (n = 527); the model was subsequently expanded to a larger data set of 13 studies (n = 2870). Potential model parameters and covariate relationships were explored, and predictive ability was qualified using a visual predictive check.ResultsThe TMDD model was built using the quasi-steady-state approximation. The final TMDD–quasi-steady-state model included a significant relationship between distribution volume of the central compartment and disease state: distribution volume of the central compartment was 1.56-fold higher in patients vs. healthy subjects. Separately, application of the model to the expanded data set revealed a significant relationship between linear clearance and statin co-administration: linear clearance was 1.27-fold higher with statins. The good predictive performance of the TMDD model was assessed based on graphical and numerical quality criteria, together with the visual predictive check and comparison of the predictions to those from a PopPK model with parallel linear and Michaelis–Menten clearances (i.e., simplification of the TMDD PopPK model).ConclusionsThis mechanistic TMDD PopPK model integrates the interaction of alirocumab with its target and accurately predicts both alirocumab and total proprotein convertase subtilisin/kexin type 9 concentrations in healthy subjects and patients.Electronic supplementary materialThe online version of this article (doi:10.1007/s40262-016-0505-1) contains supplementary material, which is available to authorized users.

New imidazo[1,2-a]quinoxaline analogues have been synthesized in good yields via a bimolecular condensation of 2-imidazole carboxylic acid, followed by a coupling with ortho-fluoroaniline and subsequent substitution on the imidazole ring by Suzuki Cross-coupling reaction using microwave assistance. Antitumor activities of these derivatives were evaluated by growth inhibition of A375 cells in vitro. All compounds exhibited high activities compared to imiquimod and fotemustine used as references.

ABSTRACT:For several years, our group has been developing quinoxalinic compounds. Two of them, N-methyl-1-(2-phenethyl)imidazo[1,2-a]quinoxalin-4-amine (EAPB0203) and 1-(3-methoxyphenyl)-N-methylimidazo[1,2-a]quinoxalin-4-amine (EAPB0503), have emerged as the most promising anticancer drugs. In the present work, we determined metabolism pathways using liver microsomes from four mammalian species including human. We identified the cytochrome P450 isoform(s) involved in the metabolism and then investigated the pharmacokinetics and metabolism of EAPB0203 and EAPB0503 in rat after intravenous and intraperitoneal administration. Biotransformation of the compounds involved demethylation and hydroxylation reactions. Rat and dog metabolized the compounds at a higher rate than mouse and human. In all species, CYP1A1/2 and CYP3A isoforms were the predominant enzymes responsible for the metabolism. From human liver microsomes, unbound intrinsic clearances were approximately 56 ml/(min ⅐ g) protein. EAPB0203 and EAPB0503 were extensively bound to human plasma proteins, mainly human serum albumin (HSA) (ϳ98-99.5%). Thus, HSA could act as carrier of these compounds in human plasma. Scatchard plots showed patterns in which the plots yielded upwardly convex hyperbolic curves. On the basis of the Hill coefficients, there appears to be interaction between the binding sites of HSA, suggesting positive cooperativity. The main in vitro metabolites were identified in vivo. Total clearances of EAPB0203 and EAPB0503 [3.2 and 2.2 l/(h ⅐ kg), respectively] were notably lower than the typical cardiac plasma output in rat. The large volumes of distribution of these compounds (4.3 l/kg for EAPB0203 and 2.5 l/kg for EAPB0503) were consistent with extensive tissue binding. After intraperitoneal administration, bioavailability was 22.7% for EAPB0203 and 35% for EAPB0503 and a significant hepatic first-pass effect occurred.

Background and ObjectiveWhen eye diseases are treated by topical administration, the success of treatment lies in the effective drug concentration in the target tissue. This is why the drug’s pharmacokinetic, in the different substructures of the eye, needs to be explored more accurately during drug development. The aim of the present analysis was to describe by rabbit model, the distribution of a drug after ocular instillation in the selected eye tissues and fluids.MethodsBy a top-down population approach, we developed and validated a population pharmacokinetics (PopPK) model, using tissue concentrations (tear, naso-lacrymal duct, cornea and aqueous humor) of a new src tyrosine kinase inhibitor (FV-60165) in each anterior segment’s tissue and fluid of the rabbit eye. Inter-individual variability was estimated and the impact of the formulation (solution or nanosuspension) was evaluated.ResultsThe model structure selected for the eye is a 4-compartment model with the formulation as a significant covariate on the first-order rate constant between tears and the naso-lacrymal duct. The model showed a good predictive performance and may be used to estimate the concentration–time profiles after single or repeated administration, in each substructure of the eye for each animal included in the analysis.ConclusionsThis analysis allowed describing the distribution of a drug in the different selected tissues and fluids in the rabbit’s eyes after instillation of the prodrug as a solution or nanosuspension.

The results of this study combine relationships between tramadol CL and patient covariates that may be useful for dose adjustment. Polymorphism is likely to contribute to the interpatient variability observed in the AUC M1/AUC tramadol ratios.