scholarly journals Microdialysis-directed Intra-tumor Pharmacokinetic Modeling of Methotrexate in Mice and Humans

2016 ◽  
Vol 19 (2) ◽  
pp. 239 ◽  
Author(s):  
Helal H. Alsulimani ◽  
Jonghan Kim ◽  
Shabnam N. Sani

Purpose. To develop a quantitative pharmacokinetic model to characterize the disposition of methotrexate (MTX) at tumor site in tumor-bearing mice and to predict MTX concentrations in the human tumor. Methods. The plasma profiles of MTX were obtained from normal mice, while microdialysis technique was employed to characterize the time course of MTX in tumor from breast tumor-bearing mice. Disposition profiles of plasma and tumor were analyzed by a hybrid physiologically-based pharmacokinetic (hPBPK) model that incorporates physiologically-relevant parameters such as tumor blood flow and volume, while plasma concentrations were used as a forcing input into the vascular-interstitial spaces of the tumor. The plasma profiles were initially described by a biexponential decay model to obtain a forcing function that enters into the vascular-interstitial spaces in the tumor. Using a defined forcing function, the tumor free concentrations were fitted to the hPBPK model. Based on the model developed, sensitivity analysis was conducted with a perturbation of PK parameters to predict different scenarios of intratumoral MTX transport. The relevant physiological PK parameters from the mouse model were then scaled-up and utilized to simulate human tumor concentrations. Results. The mouse hPBPK model adequately characterized the concentration-time profiles of MTX in both plasma and tumor and produced various transfer rate constants between plasma and tumor. Our model was also able to reasonably predict MTX concentrations in the human tumor when human physiological data were utilized. Conclusions. The hPBPK model was able to quantitatively characterize the atypical transport of MTX in the tumor, supporting the idea that microdialysis is a valuable tool to study tumor biodistribution of drugs and to predict tumor concentrations in humans based on the pre-clinical data. This information can ultimately aid in the development of anticancer drugs with improved PK profiles. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.

2020 ◽  
Vol 37 (12) ◽  
Author(s):  
Hannah Britz ◽  
Nina Hanke ◽  
Mitchell E. Taub ◽  
Ting Wang ◽  
Bhagwat Prasad ◽  
...  

Abstract Purpose To provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling. Methods PBPK models of probenecid and furosemide were developed in PK-Sim®. Drug-dependent parameters and plasma concentration-time profiles following intravenous and oral probenecid and furosemide administration were gathered from literature and used for model development. For model evaluation, plasma concentration-time profiles, areas under the plasma concentration–time curve (AUC) and peak plasma concentrations (Cmax) were predicted and compared to observed data. In addition, the models were applied to predict the outcome of clinical DDI studies. Results The developed models accurately describe the reported plasma concentrations of 27 clinical probenecid studies and of 42 studies using furosemide. Furthermore, application of these models to predict the probenecid-furosemide and probenecid-rifampicin DDIs demonstrates their good performance, with 6/7 of the predicted DDI AUC ratios and 4/5 of the predicted DDI Cmax ratios within 1.25-fold of the observed values, and all predicted DDI AUC and Cmax ratios within 2.0-fold. Conclusions Whole-body PBPK models of probenecid and furosemide were built and evaluated, providing useful tools to support the investigation of transporter mediated DDIs.


2019 ◽  
Vol 8 (3) ◽  
pp. 432-446
Author(s):  
María Elena Bravo-Gómez ◽  
Laura Nayeli Camacho-García ◽  
Luz Alejandra Castillo-Alanís ◽  
Miguel Ángel Mendoza-Meléndez ◽  
Alejandra Quijano-Mateos

A whole-body permeability-rate-limited physiologically based pharmacokinetic (PBPK) model for cocaine was developed with the aim to predict the concentration–time profiles of the drug in blood and different tissues in humans.


2019 ◽  
Vol 104 (6) ◽  
pp. e3.2-e3
Author(s):  
A Pansari ◽  
K Abduljalil ◽  
T Johnson

BackgroundCaffeine has been extensively used in the treatment of apnoea in premature infants,1 its disposition varies with postnatal age2 and can differ markedly between premature and term neonates.MethodsThe Preterm population within the Simcyp Simulator V18R1 population library was used to replicate clinical studies to predict caffeine exposure after single3 and multiple4 intravenous administration to preterm neonates of gestational weeks 28.5 and 29 (28–33) respectively, ranging in postnatal age of 3–30 days and 0–3 days respectively. Predictive performance of the Physiologically Based Pharmacokinetic Model (PBPK) was evaluated by comparing the simulated to the clinical results. A population simulation was performed for the single dose study as only pharmacokinetic parameters were available. However, for multiple doses study, where individual plasma concentration-time profile data were available, simulations were performed for each individual.ResultsPBPK model predictions for caffeine in preterm neonates were in good agreement with the clinical observations. In the case of single dose administration, the ratios of predicted vs observed mean Volume of distribution (Vss), peak plasma concentration (Cmax), Clearance (CL) and Half-life (t1/2) were 1, 1.2, 1 and 1.1, respectively. Individual predicted concentration-time profiles following multiple dose administration were in close agreement with the observed data for all 16 subjects, overall 95% of individual observed data points were within the 5th and 95th percentile of predicted plasma concentration-time profile.ConclusionsThe predictive performance of preterm PBPK models for caffeine was found to be appropriate. A similar PBPK approach can be utilized in the clinics for the accurate prediction of pharmacokinetic parameters and plasma concentrations and for dosage adjustment to attain specific plasma concentrations of drugs in premature population.ReferencesGiacoia, et al. Effects of formula feeding on oral absorption of caffeine in premature infants. Dev Pharmacol Ther 1989; 12:205–210.Johnson, et al. Prediction of the clearance of eleven drugs and associated variability in neonates, infants and children. Clin Pharmacokinet 2006; 45(9):931–56.Aranda, et al. Population Pharmacokinetic profile of caffeine in the premature newborn infant with apnea; The Journal of Pediatrics 1979; 94(4.):663–668.Lee, et al. Caffeine in apnoeic asian neonates: a sparse data analysis. Br J Clin Pharmacol 2002; 54:31–37.Disclosure(s)Nothing to disclose


2016 ◽  
Vol 60 (8) ◽  
pp. 4860-4868
Author(s):  
Todd J. Zurlinden ◽  
Garrett J. Eppers ◽  
Brad Reisfeld

ABSTRACTRifapentine (RPT) is a rifamycin antimycobacterial and, as part of a combination therapy, is indicated for the treatment of pulmonary tuberculosis (TB) caused byMycobacterium tuberculosis. Although the results from a number of studies indicate that rifapentine has the potential to shorten treatment duration and enhance completion rates compared to other rifamycin agents utilized in antituberculosis drug regimens (i.e., regimens 1 to 4), its optimal dose and exposure in humans are unknown. To help inform such an optimization, a physiologically based pharmacokinetic (PBPK) model was developed to predict time course, tissue-specific concentrations of RPT and its active metabolite, 25-desacetyl rifapentine (dRPT), in humans after specified administration schedules for RPT. Starting with the development and verification of a PBPK model for rats, the model was extrapolated and then tested using human pharmacokinetic data. Testing and verification of the models included comparisons of predictions to experimental data in several rat tissues and time course RPT and dRPT plasma concentrations in humans from several single- and repeated-dosing studies. Finally, the model was used to predict RPT concentrations in the lung during the intensive and continuation phases of a current recommended TB treatment regimen. Based on these results, it is anticipated that the PBPK model developed in this study will be useful in evaluating dosing regimens for RPT and for characterizing tissue-level doses that could be predictors of problems related to efficacy or safety.


2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 191-191
Author(s):  
Paolo Abada ◽  
Yiu-Keung Lau ◽  
Ran Wei ◽  
Lisa O’Brien ◽  
Amanda Long ◽  
...  

191 Background: Ramucirumab is a human recombinant immunoglobin G1 monoclonal antibody (mAb) antagonist of vascular endothelial growth factor receptor-2. Ramucirumab dosed at 8 mg/kg every 2 weeks or 10 mg/kg every 3 weeks, either as monotherapy or in combination with chemotherapy, was initially studied with as an intravenous infusion over 60 minutes following premedication with a histamine-1 receptor antagonist. Lengthy intravenous infusions are inconvenient for patients and increase the workloads of nursing and administrative staff. Shortening the infusion duration of ramucirumab could therefore benefit both patients and healthcare professionals. The current analysis determined the impact such a change could have on the pharmacokinetic (PK) profile of ramucirumab. Additionally, the relationship between infusion rate and incidence of immediate infusion-related reactions (IRRs; occurring on the day of administration), common adverse events associated with mAb infusions, was assessed. Methods: A population pharmacokinetic model was established using concentration–time data collected from 2522 patients who received one of five different ramucirumab regimens involving an intravenous infusion over ~60 minutes in 17 clinical studies. The final PK model was used to simulate concentration–time profiles and exposure parameters following ramucirumab infusion durations of 30 vs 60 min. Phase II/III clinical study data from patients receiving ramucirumab were pooled to assess the association between ramucirumab infusion rate and incidence of immediate IRRs using multivariate logistic regression analysis. Results: Ramucirumab infusions of 30- and 60-min durations resulted in equivalent concentration–time profiles and, hence, equivalent systemic exposure to ramucirumab. Among 3216 patients receiving ramucirumab in phase II/III studies, 254 (7.9%) had at least one immediate any-grade IRR; 17 (0.5%) experienced grade ≥3 immediate IRRs. The incidence of immediate IRRs (any grade or grade ≥3) was similar across infusion rate quartiles. Under multivariate logistic analysis, infusion rate was not significantly associated with an increased risk of an immediate IRR (odds ratio per 1 mg/min increase 1.014, 95% confidence interval 0.999, 1.030; p=0.071). Conclusions: Administering ramucirumab using different infusion durations (30 vs 60 min) did not affect ramucirumab exposure. Analysis of clinical study data showed a faster infusion rate was not associated with an increased risk of immediate IRRs. It is considered unlikely that shortening the infusion duration of ramucirumab will impact its clinical efficacy or overall safety profile, and is now an option for administration in the U.S.


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