Simultaneous pharmacokinetic modeling of unbound and total darunavir with ritonavir in adolescents: a substudy of the SMILE trial.

Darunavir (DRV) is an HIV protease inhibitor commonly used as part of antiretroviral treatment regimens globally for children and adolescents. It requires a pharmacological booster, such as ritonavir (RTV) or cobicistat. To better understand the pharmacokinetics (PK) of DRV in this younger population and the importance of the RTV boosting effect, a population PK substudy was conducted within SMILE trial, where the maintenance of HIV suppression with once daily integrate inhibitor + darunavir/ritonavir in children and adolescents is evaluated. A joint population PK model that simultaneously used total DRV, unbound DRV, and total RTV concentrations was developed. Competitive and non-competitive models were examined to define RTV's influence on DRV pharmacokinetics. Linear and non-linear equations were tested to assess DRV protein binding. A total of 443 plasma samples from 152 adolescents were included in this analysis. Darunavir PK was best described by a one-compartment model first-order absorption and elimination. The influence of RTV on DRV pharmacokinetics was best characterized by ritonavir area under the curve on DRV clearance using a power function. The association of non-linear and linear equations was used to describe DRV protein binding to alpha-1 glycoprotein and albumin, respectively. In our population, simulations indicate that 86.8% of total and unbound DRV trough concentrations were above 0.55 mg/L [10 times protein binding-adjusted EC50 for wild-type (WT) HIV-1] and 0.0243 mg/L (10 times EC90 for WT HIV-1) targets, respectively. Predictions were also in agreement with observed outcomes from adults receiving 800/100 mg DRV/r once a day. Administration of 800/100 mg of DRV/r once daily provides satisfactory concentrations and exposures for adolescents aged 12 years and older.

In Vitro Digestion-In Situ Absorption Setup Employing a Physiologically Relevant Value of the Membrane Surface Area/Volume Ratio for Evaluating Performance of Lipid-Based Formulations: A Comparative Study with an In Vitro Digestion-Permeation Model.

The aim of this study is to establish and test an in vitro digestion-in situ absorption model that can mimic in vivo drug flux by employing a physiologically relevant value of the membrane surface area (S)/volume (V) ratio for accurate prediction of oral drug absorption from lipid-based formulations (LBFs). Three different types of LBFs (Type IIIA-MC, Type IIIA-LC, and Type IV) loaded with cinnarizine (CNZ), a lipophilic weak base with borderline permeability, and a control suspension were prepared. Subsequently, a simultaneous in vitro digestion-permeation experiment was conducted using a side-by-side diffusion cell with a dialysis membrane having a low S/V value. During digestion, CNZ partially precipitated for Type IV, while it remained solubilized in the aqueous phase for Type IIIA-MC and Type IIIA-LC in the donor compartment. However, in vitro drug fluxes for Type IIIA-MC and Type IIIA-LC were lower than those for Type IV due to the reduced free fraction of CNZ in the donor compartment. In pharmacokinetic studies, a similar improvement in in vivo oral exposure relative to suspension was observed, regardless of the LBFs used. Consequently, a poor correlation was found between in vitro permeation and areas under the plasma concentration-time curve (AUCoral) (R2 = 0.087). A luminal concentration measurement study revealed that this discrepancy was attributed to the extremely high absorption rate of CNZ in the gastrointestinal tract compared to that across a dialysis membrane evaluated by the in vitro digestion-permeation model, i.e., the absorption of CNZ in vivo was completed regardless of the extent of the free fraction, owing to the rapid removal of CNZ from the intestine. Subsequently, we aimed to predict the oral absorption of CNZ from the same formulations using a model that demonstrated high drug flux by employing the physiologically relevant S/V value and rat jejunum segment as an absorption sink (for replicating in vivo intestinal permeability). Predigested formulations were injected into the rat intestinal loop, and AUCloop values were calculated from the plasma concentration-time profiles. A better correlation was found between AUCloop and AUCoral (R2 = 0.72), although AUCloop underestimated AUCoral for Type IV due to the precipitation of CNZ during the predigestion process. However, this result indicated the importance of mimicking the in vivo drug absorption rate in the predictive model. The method presented herein is valuable for the development of LBFs.

Non-specific binding of compounds in in vitro metabolism assays: a comparison of microsomal and hepatocyte binding in different species and an assessment of the accuracy of prediction models.

Non-specific binding in in vitro metabolism systems leads to an underestimation of the true intrinsic metabolic clearance of compounds being studied. Therefore in vitro binding needs to be accounted for when extrapolating in vitro data to predict the in vivo metabolic clearance of a compound. While techniques exist for experimentally determining the fraction of a compound unbound in in vitro metabolism systems, early in drug discovery programmes computational approaches are often used to estimate the binding in the in vitro system.Experimental fraction unbound data (n = 60) were generated in liver microsomes (fumic) from five commonly used pre-clinical species (rat, mouse, dog, minipig, monkey) and humans. Unbound fraction in incubations with mouse, rat or human hepatocytes was determined for the same 60 compounds. These data were analysed to determine the relationship between experimentally determined binding in the different matrices and across different species. In hepatocytes there was a good correlation between fraction unbound in human and rat (r2=0.86) or mouse (r2=0.82) hepatocytes. Similar correlations were observed between binding in human liver microsomes and microsomes from rat, mouse, dog, Göttingen minipig or monkey liver microsomes (r2 of >0.89, n = 51 - 52 measurements in different species). Physicochemical parameters (logP, pKa and logD) were predicted for all evaluated compounds. In addition, logP and/or logD were measured for a subset of compounds.Binding to human hepatocytes predicted using 5 different methods was compared to the measured data for a set of 59 compounds. The best methods evaluated used measured microsomal binding in human liver microsomes to predict hepatocyte binding. The collated physicochemical data were used to predict the human fumic using four different in silico models for a set of 53-60 compounds. The correlation (r2) and root mean square error between predicted and observed microsomal binding was 0.69 & 0.20, 0.47 & 0.23, 0.56 & 0.21 and 0.54 & 0.26 for the Turner-Simcyp, Austin, Hallifax-Houston and Poulin models, respectively. These analyses were extended to include measured literature values for binding in human liver microsomes for a larger set of compounds (n=697). For the larger dataset of compounds, microsomal binding was well predicted for neutral compounds (r2=0.67 - 0.70) using the Poulin, Austin, or Turner-Simcyp methods but not for acidic or basic compounds (r2<0.5) using any of the models. While the lipophilicity-based models can be used, the in vitro binding should be measured for compounds where more certainty is needed, using appropriately calibrated assays and possibly established weak, moderate, and strong binders as reference compounds to allow comparison across databases.

Improving Solute Clearances by Hemodialysis.

The adequacy of hemodialysis is now assessed by measuring the removal of the single-solute urea. The urea clearance provided by contemporary dialysis is a large fraction of the blood flow through the dialyzer and therefore cannot be increased much further. Other solutes however likely contribute more than urea to the residual uremic illness suffered by hemodialysis patients. We here review methods which could be employed to increase the clearance of nonurea solutes. We will separately consider the clearances of free low-molecular-mass solutes, free larger solutes, and protein-bound solutes. New clinical studies will be required to test the extent to which increasing the clearance on nonurea solutes with these various characteristics can improve patients' health.

Prediction of Free Drug Absorption in Cyclodextrin Formulation by a Modified Physiologically Based Pharmacokinetic Model and Phase Solubility 3-D Surface Graph.

PURPOSE: Cyclodextrin (CD) is commonly used to enhance the solubility of oral drugs. However, with the increase of CD concentrations, the fraction of free drug molecules decreases, which may potentially impede drug absorption. This study aims to predict the optimal ratio between drug and CD to achieve the best absorption efficiency by computational simulation. METHODS: First, a physiologically based pharmacokinetic (PBPK) model was developed. This model can continuously adjust absorption according to free drug fraction and was validated against two model drugs, progesterone (PG) and andrographolide (AG). The further analysis involves 3-D surface graphs to investigate the relationship between free drug amount, theoretically absorbable concentration, and contents of drug and CD in the formulation. RESULTS: The PBPK model predicted the PK behavior of two drugs well. The concentration ratio of drug to CD, leading to maximal free drug amount and the best absorption efficiency, is nearly the same as the slope determined in the phase solubility test. The new modified PBPK model and 3-D surface graph can easily predict the absorption difference of formulations with various drug/CD ratios. CONCLUSION: This PBPK model and 3-D surface graph can predict the absorption and determine the optimal concentration ratio of CD formulation, which could accelerate the R&D of CD formulation.

Validated LC-MS/MS method for quantitation of total and free mycophenolic acid concentration and its application to a pharmacokinetic study in pediatric renal transplant recipients.

A simple and sensitive LC-MS/MS method was established to quantify total and free mycophenolic acid (MPA) plasma concentrations during immunosuppressive medication for pediatric renal transplantation. The chromatographic separation was performed with the Hypersil GOLD C18 column, using a mobile phase consisting of 0.1% formic acid in water and acetonitrile (60:40, v/v) at an isocratic flow rate of 0.4 ml/min. An Agilent 6420 triple quadrupole mass spectrometer was operated via a positive electrospray ionization interface using the transitions m/z 321.14 → 206.9 for MPA and m/z 324.15 → 209.9 for MPA-d3 (internal standard). The linearity was 0.1-50 µg/ml for total MPA and 0.0025-0.5 µg/ml for free MPA. The within-run and between-run precisions were all <5% and accuracy was within 96.23-107.63%. The validated method was successfully aspplied to a pharmacokinetic study in 28 pediatric renal recipients. The mean free fraction of MPA in our patients was 0.89% (ranging from 0.62 to 1.25%) and albumin level played a major role in the variability of free fraction of MPA, thus, in pediatric patients with hypoproteinemia, close free drug monitoring and dose adjustments should be considered to prevent toxicity.

Pharmacokinetics of free and total mycophenolic acid in adult lupus nephritis patients-implications for therapeutic drug monitoring.

PURPOSE: To evaluate the relationship between total and free MPA pharmacokinetic (PK) parameters and renal outcome markers, and to verify whether conducting therapeutic drug monitoring (TDM) in lupus nephritis (LN) patients would be of value in routine clinical practice. METHODS: Eighty-four samples were collected from sixteen LN patients. Total and free MPA concentrations were measured at predose, 0.5 and 2 h after mycophenolate mofetil (MMF) intake. Area under the concentration time curve from 0 to 2 h (AUC0-2) and free fraction were calculated. RESULTS: High between-patient variability was observed (CV% of 53.5% for dose-normalized total MPA AUC0-2). A significant but weak correlation between dose-normalized total C0 and AUC0-2 was noted (r = 0.5699). Dose-normalized total C0 above 2.76 µg/mL·g may indicate patients with eGFR < 81 mL/min with sensitivity of 83.3% and specificity of 75.0%. Hypoalbuminemic LN patients demonstrated significantly elevated MPA free fraction when compared with patients with serum albumin concentration ≥ 3.5 g/dL (1.49 ± 0.64% vs 1.08 ± 0.75%). CONCLUSION: This study examined relationship between free and total pharmacokinetic MPA parameters as well as the effect of hypoalbuminemia on MPA plasma protein binding in adult LN patients. The study results suggest that TDM of MPA in LN seems to be a more reasonable approach than the fixed-dose protocol. Moreover, predose total MPA concentration may be a possible estimation of MPA exposure, while monitoring free rather than total MPA may be more beneficial in hypoalbuminemic patients.

Accuracy of Valproic Acid Concentration Correction Based on Serum Albumin.

BACKGROUND: Patient-specific factors can alter the pharmacokinetic disposition of valproic acid. Specifically, the free fraction of valproic acid can increase substantially in patients with hypoalbuminemia or as serum drug concentrations rise due to saturable protein binding. Direct measurement of free serum drug concentrations allows for accurate assessment of drug levels, but the assay may not be readily available in all institutions. The effect of hypoalbuminemia on free fraction has been quantified and serves as the basis of an equation used to "correct" measured total valproic acid concentrations. The aim of this study was to evaluate the accuracy of the equation. METHODS: This retrospective study included adult patients with measurable free and total valproic acid concentrations between July 2014 and June 2017. The primary aim was to assess the relationship between measured and predicted free valproic acid concentrations. Free levels were categorized as subtherapeutic, therapeutic, or supratherapeutic based on the reference range of 7-23 mg/L. Concordance was defined as measured and predicted concentrations falling within the same category. RESULTS: The analysis included 174 patients with a median age of 58 years and a median albumin of 3 g/dL. The majority of patients were hospitalized (88.5%). Concordance occurred in 56.9% of samples. A Spearman's correlation coefficient of 0.60 (p < 0.001) was found between the measured and predicted free valproic acid concentrations. Concordance of concentrations was 42% for ICU patients, 63% for floor patients, and 65% for outpatients. Of those with discordant concentrations, 97% of the predicted concentrations underestimated the measured concentrations. CONCLUSIONS: There is discordance between predicted and measured free serum valproic acid concentrations when using the proposed equation. Because of the potential impact of underestimation and variability of free valproic acid concentrations, a measured free level is the ideal option for therapeutic drug monitoring of valproic acid.

A definite measure of occupancy exposures, seeking with non-radiolabeled in vivo 5-HT2A receptor occupancy and in vitro free fractions.

Unbound drug concentration in the brain would be the true exposure responsible for specific target occupancy. Drug exposures from preclinical are total concentrations of those over/underestimate the clinical dose projection. With the application of mass spectrometry, the current work proposes a definite measure of test drug exposures at serotonin-2A occupancy. The 5-HT2A occupancy of antagonist in the rat brain has determined with non-radiolabeled tracer MDL-100,907 at an optimized dose (3 µg/kg) and treatment time (30 min). Equilibrium dialysis method determines the in vitro free fraction of the test antagonist in untreated rat brain homogenates and plasma. Drug-free fractions derived the unbound concentration (EC50) in plasma and brain at test doses. The corresponding binding affinities (Ki) correlated with the unbound concentrations. Except for quetiapine, the ED50 values in the dose-occupancy curves of antagonists are close and ranged from 1 to 3 mg/kg. The test drug quetiapine, eplivanserin, and clozapine showed high free fractions in plasma, but for ketanserin and olanzapine, the brain free fraction was higher. The correlation between the unbound EC50 of the antagonists and corresponding Ki values was good (r2=0.828). The improved EC50 accuracy with unbound concentrations was 10-250 folds in plasma and 10-170 folds in the brain. Further, the free fractions (fu, plasma/fu, brain) of test drugs had shown a correlation of ∼83% with brain permeability (Ctotal brain/Ctotal plasma), a limiting factor. Thus, correlating the occupancy with unbound exposure and pharmacology would result in an accurate measurement of drug potency and optimizes in selecting the clinical dose.

Serum protein binding of 25 antiepileptic drugs in a routine clinical setting: A comparison of free non-protein-bound concentrations.

OBJECTIVE: Given that only the free non-protein-bound concentration of an antiepileptic drug (AED) crosses the blood-brain barrier, entering the brain and producing an antiepileptic effect, knowledge and measurement of the free drug fraction is important. Such data are sparse, particularly for newer AEDs, and have arisen from the use of disparate methodologies and settings over the past six decades. We report on the protein binding of 25 AEDs that are available for clinical use, along with two pharmacologically active metabolites (carbamazepine-epoxide and N-desmethyl clobazam), using standardized methodology and under set conditions. METHODS: The protein binding of the various AEDs was undertaken in sera of 278 patients with epilepsy. Separation of the free non-protein-bound component was achieved by using ultracentrifugation (Amicon Centrifree Micropartition System) under set conditions: 500 µl serum volume; centrifugation at 1,000 g for 15 min, and at 25°C. Free and total AED concentrations were measured by use of fully validated liquid chromatography/mass spectroscopy (LC/MS) techniques. RESULTS: Gabapentin and pregabalin are non-protein-bound, whereas highly bound AEDs (≥88%) include clobazam, clonazepam, perampanel, retigabine, stiripentol, tiagabine, and valproic acid as well as the N-desmethyl-clobazam (89%) metabolite. The minimally bound drugs (<22%) include ethosuximide (21.8%), lacosamide (14.0%), levetiracetam (3.4%), topiramate, (19.5%) and vigabatrin (17.1%). Ten of the 25 AEDs exhibit moderate protein binding (mean range 27.7-74.8%). SIGNIFICANCE: These data provide a comprehensive comparison of serum protein binding of all available AEDs including the metabolites, carbamazepine-epoxide and N-desmethyl-clobazam. Knowledge of the free fraction of these AEDs can be used to optimize epilepsy treatment.

Structure of a Myeloid cell leukemia-1 (Mcl-1) inhibitor bound to drug site 3 of Human Serum Albumin.

Amplification of the gene encoding Myeloid cell leukemia-1 (Mcl-1) is one of the most common genetic aberrations in human cancer and is associated with high tumor grade and poor survival. Recently, we reported on the discovery of high affinity Mcl-1 inhibitors that elicit mechanism-based cell activity. These inhibitors are lipophilic and contain an acidic functionality which is a common chemical profile for compounds that bind to albumin in plasma. Indeed, these Mcl-1 inhibitors exhibited reduced in vitro cell activity in the presence of serum. Here we describe the structure of a lead Mcl-1 inhibitor when bound to Human Serum Albumin (HSA). Unlike many acidic lipophilic compounds that bind to drug site 1 or 2, we found that this Mcl-1 inhibitor binds predominantly to drug site 3. Site 3 of HSA may be able to accommodate larger, more rigid compounds that do not fit into the smaller drug site 1 or 2. Structural studies of molecules that bind to this third site may provide insight into how some higher molecular weight compounds bind to albumin and could be used to aid in the design of compounds with reduced albumin binding.

Free mycophenolic acid determination in human plasma ultrafiltrate by a validated liquid chromatography-tandem mass spectrometry method.

The aim of this study was to develop and validate fully the liquid chromatography-tandem mass spectrometry method for free mycophenolic acid (MPA) concentration measurements in plasma ultrafiltrate that will be reliable and simple in preparation with deuterated MPA (MPA-d3) chosen as an internal standard. The chromatographic separation was made with Zorbax Eclipse XDB-C18 column (4.6 × 150 mm) using a gradient of two solutions as a mobile phase: (A) water and (B) methanol, each containing 0.1% formic acid and 2.5 mm ammonium acetate. Satisfactory repeatability of retention times was achieved with average values of 7.54 ± 0.20 min and 7.50 ± 0.19 min for MPA and MPA-d3, respectively. The method was selective, with no carry-over or matrix effect observed. The analytical range was proven for MPA ultrafiltrate concentrations of 1-500 ng/mL. The accuracy and precision fell within the acceptance criteria for intraday (accuracy: 100.63-110.46%, imprecision: 6.23-7.76%), as well as interday assay (accuracy: 98.81-110.63%; imprecision: 5.36-10.22%). The method was used for free MPA determination in plasma samples from patients treated with mycophenolate mofetil. To the best of our knowledge this is the first liquid chromatography-tandem mass spectrometry method for free MPA monitoring using MPA-d3 that allows to measure plasma ultrafiltrate concentrations as low as 1 ng/mL.

The impact of the concentration of drug binding plasma proteins on drug distribution according to Øie-Tozer's model.

1. New equations have been developed from an updated version of Øie-Tozer's model expressing how the free concentration and volume of distribution change in relation to changes in the concentration of drug binding plasma proteins. This updated model accommodates more than one drug binding plasma protein to contribute to the plasma protein binding. 2. Demonstrations of the model show that variability in the concentration of one plasma protein has considerably less impact on the free drug concentration and volume of distribution if other plasma proteins contribute to binding, than if they don't.

The usefulness of Øie-Tozer's model in deriving pharmacokinetic changes in response to changes in the concentration of drug-binding plasma protein.

1. Øie-Tozer's model can be used to derive changes in the distribution of drugs in relation to changes in the concentration of drug binding plasma proteins. 2. Concerns have been raised that the model is invalid for this purpose because it does not account for active drug transport, pH differences between fluids and extracellular tissue binding. 3. Here, it is demonstrated that these imperfections do not affect the outcome of the calculation.

The connection Between Plasma Protein Binding and Acute Toxicity as Determined by the LD50 Value.

Preclinical Research A dataset of three drug classes (acids, bases, and neutrals) with LD50 values in mice was analysed to investigate a possible connection between high plasma protein binding and acute toxicity. Initially, it was found that high plasma protein binding was associated with toxicity for acids and neutrals, but after compensating for differences in lipophilicity, plasma protein binding was found not to be associated with toxicity. The therapeutic index established by the quotient between mouse LD50 and the defined daily dose was unaffected by both lipophilicity and plasma protein binding.

The methodology of TSPO imaging with positron emission tomography.

The 18-kDA translocator protein (TSPO) is consistently elevated in activated microglia of the central nervous system (CNS) in response to a variety of insults as well as neurodegenerative and psychiatric conditions. It is therefore a target of interest for molecular strategies aimed at imaging neuroinflammation in vivo. For more than 20 years, positron emission tomography (PET) has allowed the imaging of TSPO density in brain using [(11)C]-(R)-PK11195, a radiolabelled-specific antagonist of the TSPO that has demonstrated microglial activation in a large number pathological cohorts. The significant clinical interest in brain immunity as a primary or comorbid factor in illness has sparked great interest in the TSPO as a biomarker and a surprising number of second generation TSPO radiotracers have been developed aimed at improving the quality of TSPO imaging through novel radioligands with higher affinity. However, such major investment has not yet resulted in the expected improvement in image quality. We here review the main methodological aspects of TSPO PET imaging with particular attention to TSPO genetics, cellular heterogeneity of TSPO in brain tissue and TSPO distribution in blood and plasma that need to be considered in the quantification of PET data to avoid spurious results as well as ineffective development and use of these radiotracers.

Retest imaging of [11C]NOP-1A binding to nociceptin/orphanin FQ peptide (NOP) receptors in the brain of healthy humans.

[(11)C]NOP-1A is a novel high-affinity PET ligand for imaging nociceptin/orphanin FQ peptide (NOP) receptors. Here, we report reproducibility and reliability measures of binding parameter estimates for [(11)C]NOP-1A binding in the brain of healthy humans. After intravenous injection of [(11)C]NOP-1A, PET scans were conducted twice on eleven healthy volunteers on the same (10/11 subjects) or different (1/11 subjects) days. Subjects underwent serial sampling of radial arterial blood to measure parent radioligand concentrations. Distribution volume (VT; a measure of receptor density) was determined by compartmental (one- and two-tissue) modeling in large regions and by simpler regression methods (graphical Logan and bilinear MA1) in both large regions and voxel data. Retest variability and intraclass correlation coefficient (ICC) of VT were determined as measures of reproducibility and reliability respectively. Regional [(11)C]NOP-1A uptake in the brain was high, with a peak radioactivity concentration of 4-7 SUV (standardized uptake value) and a rank order of putamen>cingulate cortex>cerebellum. Brain time-activity curves fitted well in 10 of 11 subjects by unconstrained two-tissue compartmental model. The retest variability of VT was moderately good across brain regions except cerebellum, and was similar across different modeling methods, averaging 12% for large regions and 14% for voxel-based methods. The retest reliability of VT was also moderately good in most brain regions, except thalamus and cerebellum, and was similar across different modeling methods averaging 0.46 for large regions and 0.48 for voxels having gray matter probability >20%. The lowest retest variability and highest retest reliability of VT were achieved by compartmental modeling for large regions, and by the parametric Logan method for voxel-based methods. Moderately good reproducibility and reliability measures of VT for [(11)C]NOP-1A make it a useful PET ligand for comparing NOP receptor binding between different subject groups or under different conditions in the same subject.

Discovery and optimization of 5-(2-((1-(phenylsulfonyl)-1,2,3,4-tetrahydroquinolin-7-yl)oxy)pyridin-4-yl)-1,2,4-oxadiazoles as novel gpr119 agonists.

We describe the discovery and optimization of 5-(2-((1-(phenylsulfonyl)-1,2,3,4-tetrahydroquinolin-7-yl)oxy)pyridin-4-yl)-1,2,4-oxadiazoles as novel agonists of GPR119. Previously described aniline 2 had suboptimal efficacy in signaling assays using cynomolgus monkey (cyno) GPR119 making evaluation of the target in preclinical models difficult. Replacement of the aniline ring with a tetrahydroquinoline ring constrained the rotation of the aniline C-N bond and gave compounds with increased efficacy on human and cyno receptors. Additional optimization led to the discovery of 10, which possesses higher free fraction in plasma and improved pharmacokinetic properties in rat and cyno compared to 2.

Introducing the Dynamic Well-Stirred Model for Predicting Hepatic Clearance and Extraction Ratio.

The well-stirred model (WSM) incorporating the fraction of unbound drug (fu) to account for the effect of plasma binding on intrinsic clearance has been widely used for predicting hepatic clearance under the assumption that drug protein binding reaches equilibrium instantaneously. Our theoretical analysis reveals that the effect of protein binding on intrinsic clearance is better accounted for with the dynamic free fraction (fD), a measure of drug protein binding affinity, which leads to a putative dynamic well-stirred model (dWSM) without the instantaneous equilibrium assumption. Using recombinant CYP3A4 as the in vitro clearance system, we demonstrate that the binding effect of albumin on the intrinsic clearance of both highly bound midazolam and highly free verapamil is fully corrected by their corresponding fD values, respectively. On the other hand, fu only corrects the binding effect of albumin on the intrinsic clearance of verapamil, and yields severe over-correction of the intrinsic clearance of midazolam. The results suggest that the traditional WSM is suitable for highly free drugs like verapamil but not necessarily for highly bound drugs such as midazolam due to the violation of the instantaneous equilibrium assumption or under-estimating the true free drug concentration. In comparison, the dWSM incorporating fD holds true as long as drug elimination follows steady-state kinetics, and hence, it is more broadly applicable to drugs with different protein binding characteristics. Here we demonstrate with 36 diverse drugs, that the dWSM significantly improves the accuracy of predicting human hepatic clearance and liver extraction ratio from in vitro microsomal clearance data, highlighting the importance of drug plasma protein binding kinetics in addressing the under-prediction of hepatic clearance by the WSM.

Pharmacokinetics of free and total mycophenolic acid in paediatric and adult renal transplant recipients: Exploratory analysis of the effects of clinical factors and gene variants.

Clinical and genetic influencing factors on free fraction of mycophenolic acid (MPA) have rarely been discussed. The present study investigated whether the clinical and genetic factors could explain the variability in the pharmacokinetics of free MPA (fMPA) and total MPA (tMPA) in Chinese paediatric and adult renal transplant recipients. Twenty-eight paediatric and 31 adult patients were enrolled, and the concentrations of tMPA and fMPA were determined at 0 h (predose) and 0.5, 1, 1.5, 2, 4, 5, 8, 9, 10 and 12 h after mycophenolate mofetil administration. Genetic polymorphisms of UGTs (rs671448, rs1042597, rs2741049, rs62298861, rs7439366, rs12233719) and ABCC2 (rs717620) were simultaneously determined. The clinical and genetic data were analysed and reported. tMPA and fMPA concentrations adjusted for dose per body weight were consistently higher in adults than in paediatric patients. In the paediatric group, only albumin and time after transplantation correlated significantly with the MPA-free fraction variation, which could explain 32.4% of the variability. Besides, ABCC2 polymorphism, albumin and time after transplantation correlated significantly with the MPA-free fraction variation in adults, which could explain 56.9% of the variability. The influencing factors in the paediatric group are different from those in adults, which may be due to age-related transporter expression.