A Comprehensive Physiologically Based Pharmacokinetic Framework of Ofloxacin: Predicting Disposition in Renal Impairment

A Mechanistic Physiologically Based Pharmacokinetic (PBPK) modeling approach for fexofenadine: predictive pharmacokinetic insights in humans

Nicardipine is a calcium channel blocker employed to manage hypertension and angina. It is primarily metabolized in the liver; therefore, hepatic impairment patients may experience drug accumulation, potentially resulting in adverse events. This research aims to design physiologically based pharmacokinetic (PBPK) model capable of accurately predicting the exposure of nicardipine in healthy individuals as well as hepatic and renal impairment patients. An extensive literature review was conducted to retrieve relevant articles and pharmacokinetic (PK) parameters of nicardipine, for integration into the PK-Sim® program. The modeling approach incepts with the development of healthy PBPK model, which is subsequently extrapolated to diseased populations to assess the alignment of anticipated and reported concentration-time profiles. The precision of the model was then evaluated through visual predictive checks, mean observed–predicted ratios, and average fold error across relevant PK parameters, which adhered to the predefined 2-fold threshold. The observed exposure of nicardipine in Child-Pugh A was found to be ~ 1.5-fold greater than in a healthy population, highlighting the necessity of dosage adjustment in the cirrhotic population. The developed PBPK models have effectively elucidated the PK alterations of nicardipine in healthy and diseased populations, thus the insights gained from these models can inform tailored dosing regimens for enhancing therapeutic efficacy.

BackgroundThere is an unmet need for medications to treat patients with COPD who continue to exacerbate despite receiving single-inhaler combination therapies. Tanimilast is a new inhaled PDE4 inhibitor currently in...

PurposeU.S. Food and Drug Administration (FDA) recommended telavancin dosing is based on total body weight (TBW) but lacks adjusted regimens for obese subjects with varying renal function. Our aim was to develop a physiologically based pharmacokinetic (PBPK) model of telavancin to design optimized dosing regimens for obese patients with hospital-acquired pneumonia (HAP) and varying renal function.MethodsThe PBPK model was verified using clinical pharmacokinetic (PK) data of telavancin in healthy populations with varying renal function and obese populations with normal renal function. Then, the PBPK model was applied to predict the PK in obese HAP patients with renal impairment (RI).ResultsThe fold error values of PK parameters (AUC, Cmax, Tmax) were all within 1.5. The telavancin AUC0-inf was predicted to increase 1.07-fold in mild RI, 1.23-fold in moderate RI, 1.41-fold in severe RI, and 1.57-fold in end-stage renal disease (ESRD), compared with that in obese HAP with normal renal function. The PBPK model combined with Monte Carlo simulations (MCS) suggested that dose adjustment based on a 750-mg-fixed dose could achieve effectiveness with reduced risk of toxicity, compared with current TBW-based dosing recommendations.ConclusionThe PBPK simulation proposed that using TBW-based regimen in obesity with RI should be avoided. Dose recommendations in obesity from the PBPK model are 750 mg daily for normal renal function and mild RI, 610 mg daily for moderate RI, 530 mg daily for severe RI, and 480 mg daily for ESRD.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00228-020-03072-y.

While high lipophilicity tends to improve potency, its effects on pharmacokinetics (PK) are complex and often unfavorable. To predict clinical PK in early drug discovery, we built human physiologically based PK (PBPK) models integrating either (i) machine learning (ML)-predicted properties or (ii) discovery stage in vitro data. Our test set was composed of 12 challenging development compounds with high lipophilicity (mean calculated log P 4.2), low plasma-free fraction (50% of compounds with fu,p < 1%), and low aqueous solubility. Predictions focused on key human PK parameters, including plasma clearance (CL), volume of distribution at steady state (Vss), and oral bioavailability (%F). For predictions of CL, the ML inputs showed acceptable accuracy and slight underprediction bias [an average absolute fold error (AAFE) of 3.55; an average fold error (AFE) of 0.95]. Surprisingly, use of measured data only slightly improved accuracy but introduced an overprediction bias (AAFE = 3.35; AFE = 2.63). Predictions of Vss were more successful, with both ML (AAFE = 2.21; AFE = 0.90) and in vitro (AAFE = 2.24; AFE = 1.72) inputs showing good accuracy and moderate bias. The %F was poorly predicted using ML inputs [average absolute prediction error (AAPE) of 45%], and use of measured data for solubility and permeability improved this to 34%. Sensitivity analysis showed that predictions of CL limited the overall accuracy of human PK predictions, partly due to high nonspecific binding of lipophilic compounds, leading to uncertainty of unbound clearance. For accurate predictions of %F, solubility was the key factor. Despite current limitations, this work encourages further development of ML models and integration of their results within PBPK models to enable human PK prediction at the drug design stage, even before compounds are synthesized. Further evaluation of this approach with more diverse chemical types is warranted.

Pramipexole is the first-line medication recommended by the British National Institute for Health and Care Excellence. Pramipexole is predominantly eliminated by renal excretion. The aim was to develop a physiologically based pharmacokinetic (PBPK) model of pramipexole, providing a basis for its individualized administration. The role of glomerular filtration and organic cation transporter 2 (OCT2) in renal tubular secretion was considered. Plasma concentration-time profiles of pramipexole were predicted and validated, first in healthy populations and then in PD patients with varied renal function. Finally, the pharmacokinetics of PD patients with different degrees of renal impairment were predicted. The simulated pharmacokinetic parameters, including maximum plasma concentration (Cmax ), area under the plasma concentration-time curve (AUC), time to maximum plasma concentration (tmax ), and steady-state trough plasma concentration values, obtained using the PBPK model were validated using fold error values, which were all smaller than 2. The successfully validated model supported that OCT2-mediated tubular secretion was affected proportionally to changes in glomerular filtration for various degrees of renal impairment. The predicted AUC0-inf values were increased 1.16-, 1.76-, 3.26-, and 9.48-fold in mild, moderate, and severe renal impairment and end-stage renal disease (ESRD) subjects, resepctively, compared with PD patients with normal renal function. It appears that PD patients with mild renal impairment are unlikely to require dose adjustment (0.125 mg 3 times a day). The pramipexole dose should be reduced to approximately 0.125 mg twice daily, 0.125 mg once daily, and 0.0375 mg once daily in PD patients with moderate renal impairment, severe renal impairment, and ESRD, respectively.

Physiologically based pharmacokinetic (PBPK) modeling is of great importance in the field of medicine. This study aims to construct a PBPK model, which can provide reliable drug pharmacokinetic (PK) predictions in both healthy and chronic kidney disease (CKD) subjects. To do so, firstly a review of the literature was thoroughly conducted and the PK information of vildagliptin was collected. PBPK modeling software, PK-Sim®, was then used to build and assess the IV, oral, and drug-specific models. Next, the average fold error, visual predictive checks, and predicted/observed ratios were used for the assessment of the robustness of the model for all the essential PK parameters. This evaluation demonstrated that all PK parameters were within an acceptable limit of error, i.e., 2 fold. Also to display the influence of CKD on the total and unbound AUC (the area under the plasma concentration-time curve) and to make modifications in dose, the analysis results of the model on this aspect were further examined. This PBPK model has successfully depicted the variations of PK of vildagliptin in healthy subjects and patients with CKD, which can be useful for medical practitioners in dosage optimization in renal disease patients.

Patients with type 2 diabetes mellitus often have impaired renal function or may have impaired hepatic function, which can pose significant safety and tolerability issues for antihyperglycaemic pharmacotherapies. Therefore, the pharmacokinetics and tolerability of saxagliptin and its pharmacologically active metabolite, 5-hydroxy saxagliptin, in nondiabetic subjects with mild, moderate or severe renal or hepatic impairment, or end-stage renal disease (ESRD) were compared with saxagliptin and metabolite pharmacokinetics and tolerability in healthy adult subjects. Two open-label, parallel-group, single-dose studies were conducted. Subjects received a single oral dose of saxagliptin 10 mg (Onglyza™). Compared with healthy subjects, the geometric mean area under the plasma concentration-time curve from time zero extrapolated to infinity (AUC∞) for saxagliptin was 16%, 41% and 108% (2.1-fold) higher in subjects with mild, moderate or severe renal impairment, respectively. AUC∞ values for 5-hydroxy saxagliptin were 67%, 192% (2.9-fold) and 347% (4.5-fold) higher in subjects with mild, moderate or severe renal impairment, respectively. As creatinine clearance (CLCR) values decreased, saxagliptin and 5-hydroxy saxagliptin AUC∞ generally increased or became more variable. Twenty-three percent of the saxagliptin dose (measured as the sum of saxagliptin and 5-hydroxy saxagliptin) was cleared by haemodialysis in a 4-hour dialysis session. In the hepatic impairment study, the differences in exposure to saxagliptin and 5-hydroxy saxagliptin were less than 2-fold across all groups. As compared with healthy subjects matched for age, bodyweight, sex and smoking status, the AUC∞ values for saxagliptin were 10%, 38% and 77% higher in subjects with mild, moderate or severe hepatic impairment, respectively. These values were 22%, 7% and 33% lower, respectively, for 5-hydroxy saxagliptin compared with matched healthy subjects. One-half the usual dose of saxagliptin 5 mg (i.e. 2.5 mg orally once daily) is recommended for patients with moderate (CLCR 30-50 mL/min) or severe (CLCR<30 mL/min not on dialysis) renal impairment or ESRD, but no dose adjustment is recommended for those with mild renal impairment or any degree of hepatic impairment.

BackgroundApixaban is a factor Xa inhibitor with a limited therapeutic index that belongs to the family of oral direct anticoagulants. The pharmacokinetic (PK) behavior of apixaban may be altered in elderly populations and populations with renal or hepatic impairment, necessitating dosage adjustments.MethodsThis study was conducted to examine how the physiologically based pharmacokinetic (PBPK) model describes the PKs of apixaban in adult and elderly populations and to determine the PKs of apixaban in elderly populations with renal and hepatic impairment. After PBPK models were constructed using the reported physicochemical properties of apixaban and clinical data, they were validated using data from clinical studies involving various dose ranges. Comparing predicted and observed blood concentration data and PK parameters was utilized to evaluate the model’s fit performance.ResultsDoses should be reduced to approximately 70% of the healthy adult population for the healthy elderly population to achieve the same PK exposure; approximately 88%, 71%, and 89% of that for the elderly populations with mild, moderate, and severe renal impairment, respectively; and approximately 96%, 81%, and 58% of that for the Child Pugh-A, Child Pugh-B, and Child Pugh-C hepatic impairment elderly populations, respectively to achieve the same PK exposure.ConclusionThe findings indicate that the renal and hepatic function might be considered for apixaban therapy in Chinese elderly patients and the PBPK model can be used to optimize dosage regimens for specific populations.

Bortezomib (VEL) Based Regimens in Multiple Myeloma (MM) Patients with Renal Impairment (RI): A Preliminary Retrospective Italian Multicenter Study

Physiologically Based Pharmacokinetic Modelling of Glycopyrronium in Patients With Renal Impairment

PurposeThe purpose of the study is to evaluate the effect of renal impairment (RI) and end-stage renal disease (ESRD) on the pharmacokinetics (PK) of isavuconazole and the inactive cleavage product, BAL8728.MethodsA single intravenous dose of the prodrug isavuconazonium sulfate (372 mg, equivalent to 200 mg isavuconazole and 75 mg of BAL8728 cleavage product) was administered to healthy controls (parts 1 and 2) and participants with mild, moderate, or severe RI (part 2) or ESRD (part 1); ESRD participants received two doses of 200 mg isavuconazole, 1 h post-dialysis (day 1) and prior to dialysis (day 15). Plasma PK parameters for isavuconazole included maximum concentration (Cmax), area under the concentration–time curve (AUC) from time of dose to 72 h (AUC72), AUC extrapolated to infinity (AUC∞), AUC to last measurable concentration (AUClast), half-life (t½ h), volume of distribution (Vz), and total clearance (CL), for the healthy control group versus those with mild, moderate, or severe RI or ESRD.ResultsIsavuconazole Cmax values were 4% higher in mild RI and 7, 14, and 21% lower in participants with moderate RI, severe RI, or ESRD versus the healthy control group, respectively. When hemodialysis occurred post-dose (day 15), participants with ESRD had a 30% increase in AUC72 for isavuconazole in parallel with reduction of extracellular volume induced by dialysis. Exposure (AUC∞ and AUClast) was not significantly different for participants with mild, moderate, or severe RI versus healthy controls although there was considerable variability. The t1/2 (day 1) was 125.5 ± 63.6 h (healthy control group), 204.5 ± 82.6 h (ESRD group) in part 1, and 140.5 ± 77.7 h (healthy control group), 117.0 ± 66.2 h (mild RI), 158.5 ± 56.4 h (moderate RI), and 145.8 ± 65.8 L/h (severe RI) in part 2. CL was 2.4 ± 0.8 L/h (healthy control group) and 2.9 ± 1.3 L/h (ESRD group) in part 1 and 2.4 ± 1.2 L/h (healthy control group), 2.5 ± 1.0 L/h (mild RI), 2.2 ± 0.8 L/h (moderate RI), and 2.4 ± 0.8 L/h (severe RI) in part 2. The Vz was 382.6 ± 150.6 L in the healthy control group and 735.6 ± 277.3 L in ESRD patients on day 1 in part 1 of the study. In part 2 of the study, Vz was 410.8 ± 89.7 L in the healthy control group, 341.6 ± 72.3 L in mild RI, 509.1 ± 262.2 L in moderate RI, and 439.4 L in severe RI.ConclusionsBased on the findings of this study, dose adjustments of isavuconazole are unlikely to be required in individuals with RI or in those with ESRD who receive hemodialysis.

Diazepam is one of the most prescribed anxiolytic and anticonvulsant that is administered through intravenous (IV), oral, intramuscular, intranasal, and rectal routes. To facilitate the clinical use of diazepam, there is a need to develop formulations that are convenient to administer in ambulatory settings. The present study aimed to develop and evaluate a physiologically based pharmacokinetic (PBPK) model for diazepam that is capable of predicting its pharmacokinetics (PK) after IV, oral, intranasal, and rectal applications using a whole-body population-based PBPK simulator, Simcyp®. The model evaluation was carried out using visual predictive checks, observed/predicted ratios (Robs/pred), and the average fold error (AFE) of PK parameters. The Diazepam PBPK model successfully predicted diazepam PK in an adult population after doses were administered through IV, oral, intranasal, and rectal routes, as the Robs/pred of all PK parameters were within a two-fold error range. The developed model can be used for the development and optimization of novel diazepam dosage forms, and it can be extended to simulate drug response in situations where no clinical data are available (healthy and disease).

Interspecies translation of monoclonal antibodies (mAbs) pharmacokinetics (PK) in presence of target-mediated drug disposition (TMDD) is particularly challenging. Incorporation of TMDD in physiologically based PK (PBPK) modeling is recent and needs to be consolidated and generalized to provide better prediction of TMDD regarding inter-species translation during preclinical and clinical development steps of mAbs. The objective of this study was to develop a generic PBPK translational approach for mAbs using the open-source software (PK-Sim® and Mobi®). The translation of bevacizumab based on data in non-human primates (NHP), healthy volunteers (HV), and cancer patients was used as a case example for model demonstration purpose. A PBPK model for bevacizumab concentration-time data was developed using data from literature and the Open Systems Pharmacology (OSP) Suite version 10. PK-sim® was used to build the linear part of bevacizumab PK (mainly FcRn-mediated), whereas MoBi® was used to develop the target-mediated part. The model was first developed for NHP and used for a priori PK prediction in HV. Then, the refined model obtained in HV was used for a priori prediction in cancer patients. A priori predictions were within 2-fold prediction error (predicted/observed) for both area under the concentration-time curve (AUC) and maximum concentration (Cmax) and all the predicted concentrations were within 2-fold average fold error (AFE) and average absolute fold error (AAFE). Sensitivity analysis showed that FcRn-mediated distribution and elimination processes must be accounted for at all mAb concentration levels, whereas the lower the mAb concentration, the more significant the target-mediated elimination. This project is the first step to generalize the full PBPK translational approach in Model-Informed Drug Development (MIDD) of mAbs using OSP Suite.

Development of Physiologically Based Pharmacokinetic Model for Pregabalin to Predict the Pharmacokinetics in Pediatric Patients with Renal Impairment and Adjust Dosage Regimens: PBPK Model of Pregabalin in Pediatric Patients with Renal Impairment