Population pharmacokinetics and dose optimisation of colecalciferol in paediatric patients with chronic kidney disease.

AIMS: The prevalence of vitamin D deficiency is high in children with chronic kidney disease (CKD). However, current dosing recommendations are based on limited pharmacokinetic (PK) data. This study aimed to develop a population PK model of colecalciferol that can be used to optimise colecalciferol dosing in this population. METHODS: Data from 83 children with CKD were used to develop a population PK model using a nonlinear mixed effects modelling approach. Serum creatinine and type of kidney disease (glomerular vs. nonglomerular disease) were investigated as covariates, and optimal dosing was determined based on achieving and maintaining 25-hydroxyvitamin D (25(OH)D) concentration of 30-48 ng/mL. RESULTS: The time course of 25(OH)D concentrations was best described by a 1-compartment model with the addition of a basal concentration parameter to reflect endogenous 25(OH)D production from diet and sun exposure. Colecalciferol showed wide between-subject variability in its PK, with total body weight scaled allometrically the only covariate included in the model. Model-based simulations showed that current dosing recommendations for colecalciferol can be optimised using a weight-based dosing strategy. CONCLUSION: This is the first study to describe the population PK of colecalciferol in children with CKD. PK model informed dosing is expected to improve the attainment of target 25(OH)D concentrations, while minimising the risk of overdosing.

Determination of plasma concentration reference ranges for oral aripiprazole, olanzapine, and quetiapine.

BACKGROUND: Schizophrenia is a common disease which is commonly managed using antipsychotic medications (APS). Inadequate response and lack of adherence often prevent optimal therapeutic effectiveness. Monitoring APS concentrations can be useful to help improve outcomes for the patient. AIMS: The aim of this study was to develop "reference ranges" for oral aripiprazole, olanzapine, and quetiapine to allow clinicians to understand expected variability in patients treated with APS. The reference ranges were constructed to account for different oral doses, sampling times, and variability both between, and within, subjects. METHODS: Population pharmacokinetic models were used to simulate plasma concentrations over time under different doses and population demographics. The references were validated against external data both numerically and graphically. RESULTS: Reference ranges for oral aripiprazole, olanzapine, and quetiapine were derived and successfully validated against the external data. The 80% reference range for aripiprazole following a 2-mg oral dose was 14.7-41.6 ng/mL 0-4 h post dose and 10.6-37.1 ng/mL 20-24 h post dose. These ranges increased to 221-624 ng/mL 0-4 h post dose following administration of a 30-mg dose, and 159-557 ng/mL 20-24 h post dose. The 80% reference range 0-4 h post dose was 22.5-67.1 ng/mL following a 15-mg dose once daily of oral olanzapine, and 179-768 ng/mL following a 150-mg dose once daily of oral quetiapine. CONCLUSIONS: Comparing individual patients' APS levels with reference ranges, along with a full clinical assessment, could provide important insights to help a clinician optimize APS therapy.

Determination of a suitable voriconazole pharmacokinetic model for personalised dosing.

Model based personalised dosing (MBPD) is a sophisticated form of individualised therapy, where a population pharmacokinetic (PK) or pharmacodynamic model is utilised to estimate the dose required to reach a target exposure or effect. The choice of which model to implement in MBPD is a subjective decision. By choosing one model, information from the remaining models is ignored, as well as the rest of the literature base. This manuscript describes a methodology to develop a 'hybrid' model for voriconazole that incorporated information from prior models in a biologically plausible manner. Voriconazole is a triazole antifungal with difficult to predict PK, although it does have a defined exposure-response relationship. Nine population PK models of voriconazole were identified from the literature. The models differed significantly in structural components. The hybrid model contained a two-compartment disposition model with mixed linear and nonlinear time-dependent clearance. The parameters for the hybrid model were determined using simulation techniques. Validation of the hybrid model was assessed via visual predictive checks, which indicated the majority of the variability in the literature models was captured by the hybrid model. The predictive performance was assessed using four different sampling strategies of limited concentrations from ten richly PK sampled subjects to predict future concentrations. Overall, the hybrid model predicted future concentrations with good precision. Further prospective and retrospective validation of the hybrid model is required before it could be used in clinical practice.

Population pharmacokinetics of enoxaparin during the antenatal period.

BACKGROUND: The optimal dosing strategy of low-molecular-weight heparins for the treatment of antenatal venous thromboembolism is not known. The physiological changes associated with pregnancy alter the pharmacokinetic profile of low-molecular-weight heparins, which has led to controversy and subsequent variation in practice, when pregnant women with venous thromboembolism are treated with low-molecular-weight heparins. Our objective was to develop a robust pharmacokinetic model of enoxaparin during the antenatal period to address this problem. METHOD AND RESULTS: Women prescribed antenatal enoxaparin were eligible to enroll in the study. Recruited women were reviewed monthly and had up to 3 anti-Xa activities (trough and 1 and 3 hours after dose) drawn at each clinic attendance. Compartmental pharmacokinetic modeling was conducted using nonlinear mixed-effects modeling. One hundred twenty-three patients contributed 795 anti-Xa activities for pharmacokinetic modeling purposes. Both enoxaparin clearance and volume of distribution were increased during pregnancy. Simulations of once- versus twice-daily enoxaparin administration demonstrated that both dosing regimens would reach target 3-hour plasma concentrations throughout the duration of the pregnancy. When trough anti-Xa activity was simulated, both once- and twice-daily regimens exhibited an increase in trough anti-Xa activity with the progression of pregnancy. This is explained by the significant increase in volume of distribution observed during pregnancy. CONCLUSIONS: The half-life of enoxaparin is prolonged with the progression of pregnancy, and our work provides compelling evidence for prescribing once-daily enoxaparin for the treatment of antenatal venous thromboembolism. National and international guideline recommendations should be reconsidered.

Population pharmacokinetics of bedaquiline (TMC207), a novel antituberculosis drug.

Bedaquiline is a novel agent for the treatment of pulmonary multidrug-resistant Mycobacterium tuberculosis infections, in combination with other agents. The objective of this study was to develop a population pharmacokinetic (PK) model for bedaquiline to describe the concentration-time data from phase I and II studies in healthy subjects and patients with drug-susceptible or multidrug-resistant tuberculosis (TB). A total of 5,222 PK observations from 480 subjects were used in a nonlinear mixed-effects modeling approach. The PK was described with a 4-compartment disposition model with dual zero-order input (to capture dual peaks observed during absorption) and long terminal half-life (t1/2). The model included between-subject variability on apparent clearance (CL/F), apparent central volume of distribution (Vc/F), the fraction of dose via the first input, and bioavailability (F). Bedaquiline was widely distributed, with apparent volume at steady state of >10,000 liters and low clearance. The long terminal t1/2 was likely due to redistribution from the tissue compartments. The final covariate model adequately described the data and had good simulation characteristics. The CL/F was found to be 52.0% higher for subjects of black race than that for subjects of other races, and Vc/F was 15.7% lower for females than that for males, although their effects on bedaquiline exposure were not considered to be clinically relevant. Small differences in F and CL/F were observed between the studies. The residual unexplained variability was 20.6% and was higher (27.7%) for long-term phase II studies.

Changes in thrombin generation and D-dimer concentrations in women injecting enoxaparin during pregnancy and the puerperium.

BACKGROUND: It is well accepted that the gravid state is hypercoagulable and a significant cause of both maternal morbidity and mortality in the Western world. Although thrombin generation is reported to be increased in pregnant women, uncertainty exists on the pattern of thrombin generation change during this time. The aim of this study is to describe thrombin generation changes and D-dimer concentrations in women injecting enoxaparin during pregnancy the postnatal period. METHODS: One hundred and twenty-three women injecting enoxaparin had their thrombin generation, as measured by Calibrated Automated Thombinography (CAT), repeatedly assayed during pregnancy, once in each trimester, at delivery and 8 weeks post-partum. Furthermore, to understand the impact enoxaparin has on D-dimer concentrations during pregnancy, D-dimer concentrations were measured monthly in the recruited women. RESULTS: Thrombin generation was found to increase in the first trimester (mean endogenous thrombin potential (ETP): 1391 nmol/L.min), further increasing during the second trimester (mean ETP: 1757 nmol/L.min), after which it plateaued through to delivery, where it peaked (mean ETP: 1857 nmol/L.min) and then fell back at 8 weeks post-partum (ETP: 1293 nmol/L.min). In contrast D-dimer concentrations increased exponentially during the antenatal period, despite the enoxaparin prescription. CONCLUSION: Our results provide further evidence on alterations of thrombin generation during pregnancy and the postnatal period.

Pharmacokinetics and pharmacodynamics of etravirine 400 mg once daily in treatment-naïve patients.

BACKGROUND: Etravirine is currently approved for HIV treatment-experienced patients at a dose of 200 mg twice daily. The long terminal elimination half-life of etravirine should support once-daily dosing. METHODS: In the double-blind 48-week SENSE trial, 157 antiretroviral treatment-naïve patients were randomly assigned to receive etravirine 400 mg once daily (n = 79) or efavirenz 600 mg once daily (n = 78), plus 2 nucleoside reverse transcriptase inhibitors (NRTIs). Sparse sampling for etravirine plasma concentrations was conducted during the 48-week trial. Area under the curve over the dosing interval (AUC24h) and trough concentration (C0h) were estimated using a population pharmacokinetic model and compared with previous results using the 200-mg twice-daily dosage. The relationship between etravirine AUC24h and C0h with efficacy and safety was also assessed. RESULTS: By week 48, the percentage of patients in the etravirine arm with HIV RNA <50 copies/ mL was 75.9% in the intent-to-treat switch equals failure analysis and 92.3% in the on-treatment analysis; no patient developed genotypic or phenotypic resistance to NRTIs or non-nucleoside reverse transcriptase inhibitors (NNRTIs) after virologic failure. Seventy-one subjects had evaluable etravirine pharmacokinetics. The median (interquartile range) of etravirine AUC24h and C0h were 12,447 (8,261-15,652) ng•h/mL and 330 (188-472) ng/mL, respectively. There was no correlation between etravirine exposure and virologic response or adverse events. CONCLUSIONS: In the SENSE trial, etravirine 400 mg once daily achieved similar exposures to historical reference data on etravirine when dosed at 200 mg twice daily. There was no apparent relationship between the pharmacokinetics of etravirine and virologic response or adverse events.

Leveraging physiological data from literature into a pharmacokinetic model to support informative clinical study design in pregnant women.

PURPOSE: Physiological changes during pregnancy can effect pharmacokinetic (PK) parameters, which may lead to altered dose requirements. We aimed to leverage literature-based physiological changes during pregnancy into a PK model and compare its performance to a published reference model in pregnant women and to use the literature-based model to determine informative PK sampling times for a clinical study that aims to quantify the PK of enoxaparin throughout pregnancy. METHODS: Changes in total body water (BW) and creatinine clearance (CRCL) during pregnancy were described using regression models. BW and CRCL were linked to a PK model of enoxaparin in non-pregnant women. Performance of the literature-based PK model was compared to a previously published empirical reference model. D-optimal sampling times were determined and evaluated for literature-based and reference models. RESULTS: The literature-based model adequately predicted anti-Xa plasma concentrations when compared to reference model predictions. An informative sampling design was successfully developed, with parameters expected with good precision (RSE < 36.4%). CONCLUSION: A literature-based model describing enoxaparin PK during pregnancy was developed and evaluated. The modelling framework could be used to support development of informative designs in pregnancy when prior models are unavailable.

Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis.

Aims: Cardiovascular dysautonomia may impact the quality of life and survival in amyotrophic lateral sclerosis (ALS). Such dysfunction is not systematically assessed in these patients. Wearable devices could help. The feasibility of a wearable biosensor to detect heart rate variability (HRV), a physiological marker of sympathovagal balance, was studied for the first time in real-world settings in ALS. Methods: Five ALS patients (two early/three late; one bulbar-onset; mildly-to-moderately disabled) and five age/sex/BMI/comorbidities-matched controls underwent assessment of 3-day HRV via VitalConnect biosensor (worn on the left thorax). De-identified data captured by the biosensor were transferred to a secure cloud server via a relay Bluetooth device. Baseline ALS severity/anxiety and physical activity during testing were documented/quantified. Time-domain HRV measures (i.e., pNN50) were analyzed. Results: An overall 3-day abnormal HRV (pNN50 < 3%), was found in three out of five patients (mean ± SD for the group, 2.49 ± 1.51). Similar changes were reported in controls (12.32 ± 21.14%). There were no statistically significant relationships between pNN50 values and baseline anxiety or physical activity during the tested days (p > 0.05 for both groups). A negative correlation was found between pNN50 values and age in patients (p = 0.01) and controls (p = 0.09), which is similar with what is found in the general population. In line with prior studies, pNN50 values were independent of disease stage (p = 0.6) and disability (p = 0.4). Conclusions: These preliminary results suggest that remote HRV measures using the VitalConnect is feasible and may constitute an improved strategy to provide insights into sympathovagal balance in ALS. Further work with larger sample sizes is warranted.

Current dosing of low-molecular-weight heparins does not reflect licensed product labels: an international survey.

AIMS: Low-molecular-weight heparins (LMWHs) are used globally to treat thromboembolic diseases; however, there is much debate on how to prescribe effectively for patients who have renal impairment and/or obesity. We aimed to investigate the strategies used to dose-individualize LMWH therapy. METHODS: We conducted an online survey of selected hospitals in Australia, New Zealand (NZ), United Kingdom (UK) and the United States (US). Outcome measures included: the percentage of hospitals which recommended that LMWHs were prescribed according to the product label (PL), the percentage of hospitals that dose-individualized LMWHs outside the PL based on renal function, body weight and anti-Xa activity and a summary of methods used to dose-individualize therapy. RESULTS: A total of 257 surveys were suitable for analysis: 84 (33%) from Australia, 79 (31%) from the UK, 73 (28%) from the US and 21 (8%) from NZ. Formal dosing protocols were used in 207 (81%) hospitals, of which 198 (96%) did not adhere to the PL. Of these 198 hospitals, 175 (87%) preferred to dose-individualize based on renal function, 128 (62%) on body weight and 48 (23%) by monitoring anti-Xa activity. All three of these variables were used in 29 (14%) hospitals, 98 (47%) used two variables and 71 (34%) used only one variable. CONCLUSIONS: Dose-individualization strategies for LMWHs, which contravene the PL, were present in 96% of surveyed hospitals. Common individualization methods included dose-capping, use of lean body size descriptors to calculate renal function and the starting dose, followed by post dose anti-Xa monitoring.

Individualized dosing of enoxaparin for subjects with renal impairment is superior to conventional dosing at achieving therapeutic concentrations.

INTRODUCTION: Enoxaparin is an anticoagulant used in the treatment of thromboembolic diseases. It is a hydrophilic molecule that is, predominantly, eliminated renally with few data to support dosing for subjects with renal impairment and/or obesity. A recently conducted randomized controlled clinical trial compared individualized enoxaparin doses based on lean body weight and renal function to conventional dosing. During this trial, anti-Xa concentrations were collected using a sparse sampling design and a population pharmacokinetic model was developed to describe the data. METHODS: The current study evaluated the ability of the individualized dose to achieve and maintain anti-Xa concentrations within the therapeutic range (0.5-1.0 IU/mL) in subjects with renal impairment and/or obesity. A matched comparison of the two dosing strategies was undertaken using individual model predicted anti-Xa concentrations generated every 30 minutes to 120 hours post initiation of therapy. Concentration-time curves were generated for each subject and the proportion of time in the therapeutic, supratherapeutic, and subtherapeutic ranges were determined. RESULTS: When compared with conventional dosing, individualized dosing in subjects with renal impairment resulted in a significantly greater proportion of time in the therapeutic range (median [range] = 69.9% (11.3-91.8) versus 42.6% [13.9-71.4], P = 0.02) and a significantly reduced proportion of time in the supratherapeutic range (median [range] = 9.3% (0%-67.0%) versus 37.1% (0%-85.7%), P = 0.02). Although there was a trend toward a greater proportion of time in the therapeutic range in obese subjects, this did not achieve statistical significance. CONCLUSIONS: Individualized dosing in subjects with renal impairment is more effective than conventional dosing at achieving and maintaining therapeutic anti-Xa concentrations, which could decrease the risk of bleeding events and mortality in these subjects.

Evaluating Lean Liver Volume as a Potential Scaler for In Vitro-In Vivo Extrapolation of Drug Clearance in Obesity Using the Model Drug Antipyrine.

BACKGROUND: In vitro-in vivo extrapolation (IVIVE) of hepatic drug clearance (CL) involves the scaling of hepatic intrinsic clearance (CLint,uH) by functional liver size, which is approximated by total liver volume (LV) as per the convention. However, in most overweight and obese patients, LV includes abnormal liver fat, which is not thought to contribute to drug elimination, thus overestimating drug CL. Therefore, lean liver volume (LLV) might be a more appropriate scaler of CLint,uH. OBJECTIVE: The objective of this work was to assess the application of LLV in CL extrapolation in overweight and obese patients (BMI >25 kg/m2) using a model drug antipyrine. METHODS: Recently, a model to predict LLV from patient sex, weight, and height was developed and evaluated. In order to assess the LLV model's use in IVIVE, a correlation-based analysis was conducted using antipyrine as an example drug. RESULTS: In the overweight group (BMI >25 kg/m2), LLV could describe 36% of the variation in antipyrine CL (R2 = 0.36), which was >2-fold higher than that was explained by LV (R2 = 0.17). In the normal-weight group (BMI ≤25 kg/m2), the coefficients of determination were 58% (R2 = 0.58) and 43% (R2= 0.43) for LLV and LV, respectively. CONCLUSION: The analysis indicates that LLV is potentially a more appropriate descriptor of functional liver size than LV, particularly in overweight individuals. Therefore, LLV has a potential application in IVIVE of CL in obesity.

Evaluating the Relationship Between Lean Liver Volume and Fat-Free Mass.

BACKGROUND: Fat-free mass has gained wide acceptance as a scaler of the maintenance dose rate in obese patients. The choice of fat-free mass as a size scaler for the maintenance dose rate is based on its relationship with drug clearance, on the basis that only lean tissue is sufficiently metabolically active to provide capacity for elimination. For xenobiotics, the majority of biotransformation occurs in the liver and hence fat-free mass is implied to scale linearly with the component of liver that is metabolically active. The liver, like the body, can be assumed to comprise two components, lean mass and fat mass. We expect the lean liver mass (or volume) to be the component that most closely relates to drug clearance. OBJECTIVE: The objective of this study was to investigate the relationship of lean liver volume and fat-free mass. METHODS: Total liver volume and liver fat volume were measured in 100 Indian adults by computed tomography. Lean liver volume was derived as the difference between the two measurements (as liver volume - liver fat volume). Covariate modelling to describe lean liver volume, using NONMEM version 7.3, involved testing the influence of body weight, sex, body surface area and fat-free mass with or without allometric scaling (by estimating the exponent) and the influence of clinical chemistry variables. RESULTS: The final model did not exclude a linear relationship between lean liver volume and fat-free mass, while allometric scaling by body weight0.75 was also supported by the data. While scaling by fat-free mass, the coefficient of proportionality (i.e. lean liver volume per kg fat-free mass) was higher in female (31.25 mL) than male (25.81 mL) subjects. CONCLUSIONS: A model to predict lean liver volume from readily available patient data was developed and evaluated. Fat-free mass plus sex was found to be the best body descriptor to scale lean liver volume. The utility of this model in scaling drug clearance and dose requirements of hepatically cleared drugs needs further exploration.

Fixed dose rivaroxaban can be used in extremes of bodyweight: A population pharmacokinetic analysis.

BACKGROUND: Emerging safety and efficacy data for rivaroxaban suggest traditional therapy and rivaroxaban are comparable in the morbidly obese. However, real-world data that indicate pharmacokinetic (PK) parameters are comparable at the extremes of body size are lacking. The International Society of Thrombosis and Haemostasis Scientific and Standardisation Committee (ISTH SSC) suggests avoiding the use of direct oral anticoagulants (DOACs) in patients weighing >120 kg or with a body mass index >40 kg/m2 and gives no recommendation on the use of DOACs in those <50 kg. OBJECTIVES: To generate a population PK model to understand the influence of bodyweight on rivaroxaban exposure from clinical practice data. METHOD: Rivaroxaban plasma concentrations and patient characteristics were collated between 2013 and 2018 at King's College Hospital anticoagulation clinic. A population PK model was developed using a nonlinear mixed effects approach and then used to simulate rivaroxaban concentrations at the extremes of bodyweight. RESULTS: A robust population PK model derived from 913 patients weighing between 39 kg and 172 kg was developed. The model included data from n = 86 >120 kg, n = 74 BMI >40 kg/m2 , and n = 30 <50 kg. A one-compartment model with between-subject variability on clearance and a proportional error model best described the data. Creatinine clearance calculated by Cockcroft-Gault, with lean bodyweight as the weight descriptor in this equation, was the most significant covariate influencing rivaroxaban exposure. CONCLUSIONS: Our work demonstrates rivaroxaban can be used at extremes of bodyweight provided renal function is satisfactory. We recommend that the ISTH SSC revises the current guidance with respect to rivaroxaban at extremes of body size.

Modelling the occurrence and severity of enoxaparin-induced bleeding and bruising events.

AIMS: To develop a population pharmacokinetic-pharmacodynamic model to describe the occurrence and severity of bleeding or bruising as a function of enoxaparin exposure. METHODS: Data were obtained from a randomized controlled trial (n = 118) that compared conventional dosing of enoxaparin (product label) with an individualized dosing regimen. Anti-Xa concentrations were sampled using a sparse design and the size, location and type of bruising and bleeding event, during enoxaparin therapy, were collected daily. A population pharmacokinetic-pharmacodynamic analysis was performed using nonlinear mixed effects techniques. The final model was used to explore how the probability of events in patients with obesity and/or renal impairment varied under differing dosing strategies. RESULTS: Three hundred and forty-nine anti-Xa concentrations were available for analysis. A two-compartment first-order absorption and elimination model best fit the data, with lean body weight describing between-subject variability in clearance and central volume of distribution. A three-category proportional-odds model described the occurrence and severity of events as a function of both cumulative enoxaparin AUC (cAUC) and subject age. Simulations showed that individualized dosing decreased the probability of a bleeding or major bruising event when compared with conventional dosing, which was most noticeable in subjects with obesity and renal impairment. CONCLUSIONS: The occurrence and severity of a bleeding or major bruising event to enoxaparin, administered for the treatment of a thromboembolic disease, can be described as a function of both cAUC and subject age. Individualized dosing of enoxaparin will reduce the probability of an event.

Encouraging the move towards predictive population models for the obese using propofol as a motivating example.

PURPOSE: To develop a predictive pharmacokinetic model for propofol that could inform development of a dosing strategy for the obese population. METHODS: A prior model that included a nonlinear relationship between clearance (CL) and Total Body Weight (TBW) was re-parameterized with a linear relationship between CL and Lean Body Weight (LBW). The predictive performance of both models was compared and the LBW model used to explore propofol exposure from normal to obese patients. A dosing strategy was evaluated that normalized awakening time across a range of patient weights. RESULTS: The predictive performance of the LBW model was similar to the nonlinear TBW model for normal weighted subjects. Simulations in 70-160 kg subjects indicated that dosing linearly on TBW (label recommendation), in contrast to LBW, resulted in increased plasma concentrations in the larger weight groups. This result might explain why obese subjects take longer to awaken from anesthesia compared to normal weighted subjects. Dosing by LBW normalized patient awakening times across this weight range. CONCLUSIONS: LBW as a covariate provides a plausible mechanistic explanation for an observed nonlinear increase in drug CL with TBW and may be suitable for developing dosing strategies that are appropriate for use in the obese population.

Informative study designs to identify true parameter-covariate relationships.

This study explored how study design influences the probability of selecting a 'true' covariate from two competing covariate models. The probability of selecting the 'True Model' (lean body weight on clearance) over the 'False Model' (total body weight (WT) on clearance) was compared for designs where WT was either lognormally distributed (i.e. non-stratified), or stratified into 3 equal strata. The probability of selecting the 'True Model' increased as the WT inclusion criterion widened, and was always greater under the stratified design. Incorporating stratification into study designs, in combination with a wide covariate range, can aid identification of true parameter-covariate relationships. This has particular importance if the model is to be extrapolated beyond the studied population (e.g. dosing in obesity).

Hemodynamic force is required for vascular smooth muscle cell recruitment to blood vessels during mouse embryonic development.

Blood vessel maturation, which is characterized by the investment of vascular smooth muscle cells (vSMCs) around developing blood vessels, begins when vessels remodel into a hierarchy of proximal arteries and proximal veins that branch into smaller distal capillaries. The ultimate result of maturation is formation of the tunica media-the middlemost layer of a vessel that is composed of vSMCs and acts to control vessel integrity and vascular tone. Though many studies have implicated the role of various signaling molecules in regulating maturation, no studies have determined a role for hemodynamic force in the regulation of maturation in the mouse. In the current study, we provide evidence that a hemodynamic force-dependent mechanism occurs in the mouse because reduced blood flow mouse embryos exhibited a diminished or absent coverage of vSMCs around vessels, and in normal-flow embryos, extent of coverage correlated to the amount of blood flow that vessels were exposed to. We also determine that the cellular mechanism of force-induced maturation was not by promoting vSMC differentiation/proliferation, but instead involved the recruitment of vSMCs away from neighboring low-flow distal capillaries towards high-flow vessels. Finally, we hypothesize that hemodynamic force may regulate expression of specific signaling molecules to control vSMC recruitment to high-flow vessels, as reduction of flow results in the misexpression of Semaphorin 3A, 3F, 3G, and the Notch target gene Hey1, all of which are implicated in controlling vessel maturation. This study reveals another role for hemodynamic force in regulating blood vessel development of the mouse, and opens up a new model to begin elucidating mechanotransduction pathways regulating vascular maturation.

Pharmacokinetics of sapropterin in patients with phenylketonuria.

BACKGROUND AND OBJECTIVE: Untreated phenylketonuria is characterized by neurocognitive and neuromotor impairment, which result from elevated blood phenylalanine concentrations. To date, the recommended management of phenylketonuria has been the use of a protein-restricted diet and the inclusion of phenylalanine-free protein supplements; however, this approach is often associated with poor compliance and a suboptimal clinical outcome. Sapropterin dihydrochloride, herein referred to as sapropterin, a synthetic formulation of 6R-tetrahydrobiopterin (6R-BH4), has been shown to be effective in reducing blood phenylalanine concentrations in patients with phenylketonuria. The objective of the current study was to characterize the pharmacokinetics and pharmacokinetic variability of sapropterin and to identify the characteristics that influence this variability. PATIENTS AND METHODS: This was a 12-week, fixed-dose phase of an open-label extension study. The study was conducted at 26 centres in North America and Europe.Patients with phenylketonuria were eligible to participate if they were > or =8 years of age and had received > or =80% of the scheduled doses in a previous 6-week, randomized, placebo-controlled study or had been withdrawn from that study after exceeding a plasma phenylalanine concentration of > or =1500 micromol/L to > or =1800 micromol/L, depending on the subject's age and baseline plasma phenylalanine concentration. A total of 78 patients participated. Patients received oral once-daily doses of sapropterin (Kuvan) 5, 10 or 20 mg/kg/day. Blood samples for the pharmacokinetic analysis were obtained during weeks 6, 10 and 12. A D-optimal sparse sampling strategy was used, and data were analysed by population-based, nonlinear, mixed-effects modelling methods. MAIN OUTCOME MEASURE: In a prospectively planned analysis, the apparent clearance, apparent volume of distribution, absorption rate constant and associated interindividual variabilities of each parameter were estimated by modelling observed BH4 plasma concentration-time data. RESULTS: The best structural model to describe the pharmacokinetics of sapropterin was a two-compartment model with first-order input, first-order elimination and a baseline endogenous BH4 concentration term. Total bodyweight was the only significant covariate identified, the inclusion of which on both the apparent clearance (mean = 2100 L/h/70 kg) and central volume of distribution (mean = 8350 L/70 kg) substantially improved the model's ability to describe the data. The mean (SD) terminal half-life of sapropterin was 6.69 (2.29) hours and there was little evidence of accumulation, even at the highest dose. CONCLUSION: These findings, taken together with the observed therapeutic effect, support bodyweight-based, once-daily dosing of sapropterin 5-20 mg/kg/day.

A human challenge model for respiratory syncytial virus kinetics, the pharmacological effect of a novel fusion inhibitor, and the modelling of symptoms scores.

Respiratory syncytial virus (RSV) causes acute lower respiratory tract infections, and is a major cause of hospital admissions and death in young children. Limited treatments currently exist that can prevent or minimise exacerbation of the disease. The aims of this work were: 1) to develop a population pharmacodynamic model to describe RSV kinetics (RSVK) in nasal lavage, 2) evaluate the impact of an investigational fusion inhibitor, JNJ-53718678, on RSVK, and 3) determine the relationship between RSVK and symptoms scores. The best model to fit the RSVK data was a target-cell limited viral kinetics model previously developed for influenza A infections (Baccam et al., 2006), which included a series of compartments for infected, non-producing and infected, and producing cell populations. The model was adapted to account for longer incubation times seen in RSV, by including 4 additional transit compartments, with the virus elimination rate constant and initial number of target cells fixed to literature values to ensure model parameter identifiability. Between-subject variability was included on the infection rate constant and virus production rate constant. The effect of JNJ-53718678 on RSVK was best described by a non-dose dependent transformation of the infectious virions into a non-infectious state, with a proportional odds model successfully describing symptoms scores, using individual model predicted viral loads as predictor.