Fexofenadine is useful in various allergic disease treatment.However,the pharmacokinetic variability information and quantitative factor identification of fexofenadine are very lacking.This study aimed to verify the v...Fexofenadine is useful in various allergic disease treatment.However,the pharmacokinetic variability information and quantitative factor identification of fexofenadine are very lacking.This study aimed to verify the validity of previously proposed genetic factors through fexofenadine population pharmacokinetic modeling and to explore the quantitative correlations affecting the pharmacokinetic variability.Polymorphisms of the organic-anion-transporting-polypeptide(OATP)1B1 and 2B1 have been proposed to be closely related to fexofenadine pharmacokinetic diversity.Therefore,modeling was performed using fexofenadine oral exposure data according to the OATP1B1-and 2B1-polymorphisms.OATP1B1 and 2B1 were identified as effective covariates of clearance(CL/F)and distribution volume(V/F)-CL/F,respectively,in fexofenadine pharmacokinetic variability.CL/F and average steady-state plasma concentration of fexofenadine differed by up to 2.17-and 2.20-folds,respectively,depending on the OATP1B1 polymorphism.Among the individuals with different OATP2B1 polymorphisms,the CL/F and V/F differed by up to 1.73-and 2.00-folds,respectively.Ratio of the areas under the curves following single-and multiple-administrations,and the cumulative ratio were significantly different between OATP1B1-and 2B1-polymorphism groups.Based on quantitative prediction comparison through a model-based approach,OATP1B1 was confirmed to be relatively more important than 2B1 regarding the degree of effect on fexofenadine pharmacokinetic variability.Based on the established pharmacokineticpharmacodynamic relationship,the difference in fexofenadine efficacy according to genetic polymorphisms of OATP1B1 and 2B1 was 1.25-and 0.87-times,respectively,and genetic consideration of OATP1B1 was expected to be important in the pharmacodynamics area as well.This population pharmacometrics study will be a very useful starting point for fexofenadine precision medicine.展开更多
Sulforaphane(SFN), found in broccoli and other cruciferous vegetables, has a beneficial effect in chemoprevention of prostate cancer, whose incidence and associated mortality have gradually increased worldwide. There ...Sulforaphane(SFN), found in broccoli and other cruciferous vegetables, has a beneficial effect in chemoprevention of prostate cancer, whose incidence and associated mortality have gradually increased worldwide. There is great enthusiasm for bench-to-bedside development of SFN as a potent chemopreventive agent, possibly alone or as an adjunct to existing chemotherapy regimens, in the oncology care setting to reduce toxicity of chemotherapeutics and potentially enhance their cancer cell-kill efficacy. In this review, we appreciate existing knowledge on SFN using a pharmacometrics approach, which is fast becoming a gold standard in discovery research and validation of New Chemical Entities and New Biological Entities in pharmaceutical industry. We discuss the epistemology of SFN target engagement and quantitative systems pharmacology with due emphasis on mechanistic pharmacology, pharmacodynamics, pharmacogenomics and metabolism of SFN. In addition, we explore the quantitative freeway to SFN translational medicine by assessing the preclinical and clinical PK/metabolism aspects of SFN that form the cornerstone of SFN pharmacometric evaluation, as well as the promise of SFN in prostate cancer. Taken together, we share perspectives on the exciting developments in translational cancer chemoprevention, with emphasis on the pharmacometric aspects, of the nutraceutical SFN which is currently in clinical trials, and suggest that the pharmacometric approach holds great promise in the SFN translational pharmacology paradigm for prostate cancer.展开更多
Background:Children are in a continuous and dynamically changing state of growth and development.A thorough understanding of developmental pharmacokinetics(PK)and pharmacodynamics(PD)is required to optimize drug thera...Background:Children are in a continuous and dynamically changing state of growth and development.A thorough understanding of developmental pharmacokinetics(PK)and pharmacodynamics(PD)is required to optimize drug therapy in children.Data sources:Based on recent publications and the experience of our group,we present an outline on integrating pharmacometrics in pediatric clinical practice to develop evidence-based personalized pharmacotherapy.Results:Antibiotics in septic neonates and immunosuppressants in pediatric transplant recipients are provided as proof-of-concept to demonstrate the utility of pharmacometrics in clinical practice.Dosage individualization based on developmental PK-PD model has potential benefits of improving the efficacy and safety of drug therapy in children.Conclusion:The pharmacometric technique should be better developed and used in clinical practice to personalize drug therapy in children in order to decrease variability of drug exposure and associated risks of overdose or underdose.展开更多
UCN-01 (7-Hydroxystaurosporine) is an investigational anticancer agent that is currently being evaluated as targeted therapy in phase II clinical studies. The aims of this work were to describe the population pharmaco...UCN-01 (7-Hydroxystaurosporine) is an investigational anticancer agent that is currently being evaluated as targeted therapy in phase II clinical studies. The aims of this work were to describe the population pharmacokinetics of UCN-01 in patients with advanced solid tumors, and to identify covariates in patients with advanced solid tumors that affected the pharmacokinetic parameters of UCN-01. The utility of performing this research is to provide optimization of treatment and individualized dose therapy for minimization of toxicity. So, in addition to elucidating the population pharmacokinetic parameter estimates from a Phase I trial where UCN-01 was given in combination with carboplatin in patients with advanced solid tumors, and a trial where the drug was given alone as a 72-hour infusion in the same type of population, a covariate analysis was performed in order to identify pharmacokinetic determinants of UCN-01. Using NONMEM to perform nonlinear mixed-effects modeling, a linear two-compartment model was found to provide the best fit for UCN-01 data. A meta-analysis was performed, which included pooled 3-hour and 72-hour infusion data, and provided population pharmacokinetic estimates for CL (0.0157 L/hr [6.1%RSE]), V1 (2.51 L [10.0% RSE]), Q (4.05 L/hr [14.3% RSE]), and V2 (8.39 L [6.6% RSE]). Inter-individual variability was found for each of the main pharmacokinetic parameters to be ETACL (44.9% [20.8% RSE]), ETAV1 (43.9% [39.8% RSE]), ETAQ (6.09% [62.5% RSE]), and ETAV2 (4.17% [30.0% RSE]). Body surface area was found to be a statistically-significant variable from one of the individual study analyses (3-hour infusion). Population PK modeling has contributed to a better understanding of the clinical pharmacology of UCN-01. Dose individualization may improve treatment with UCN-01. Further clinical development may be supported by optimization of combination chemotherapy.展开更多
文摘Fexofenadine is useful in various allergic disease treatment.However,the pharmacokinetic variability information and quantitative factor identification of fexofenadine are very lacking.This study aimed to verify the validity of previously proposed genetic factors through fexofenadine population pharmacokinetic modeling and to explore the quantitative correlations affecting the pharmacokinetic variability.Polymorphisms of the organic-anion-transporting-polypeptide(OATP)1B1 and 2B1 have been proposed to be closely related to fexofenadine pharmacokinetic diversity.Therefore,modeling was performed using fexofenadine oral exposure data according to the OATP1B1-and 2B1-polymorphisms.OATP1B1 and 2B1 were identified as effective covariates of clearance(CL/F)and distribution volume(V/F)-CL/F,respectively,in fexofenadine pharmacokinetic variability.CL/F and average steady-state plasma concentration of fexofenadine differed by up to 2.17-and 2.20-folds,respectively,depending on the OATP1B1 polymorphism.Among the individuals with different OATP2B1 polymorphisms,the CL/F and V/F differed by up to 1.73-and 2.00-folds,respectively.Ratio of the areas under the curves following single-and multiple-administrations,and the cumulative ratio were significantly different between OATP1B1-and 2B1-polymorphism groups.Based on quantitative prediction comparison through a model-based approach,OATP1B1 was confirmed to be relatively more important than 2B1 regarding the degree of effect on fexofenadine pharmacokinetic variability.Based on the established pharmacokineticpharmacodynamic relationship,the difference in fexofenadine efficacy according to genetic polymorphisms of OATP1B1 and 2B1 was 1.25-and 0.87-times,respectively,and genetic consideration of OATP1B1 was expected to be important in the pharmacodynamics area as well.This population pharmacometrics study will be a very useful starting point for fexofenadine precision medicine.
基金Institutional funds from Amrita Vishwa Vidyapeetham University,India,and Rutgersthe State University of New Jersey,USARO1 CA118947 and RO1 CA152826 from the National Institutes of Health(NIH),USA
文摘Sulforaphane(SFN), found in broccoli and other cruciferous vegetables, has a beneficial effect in chemoprevention of prostate cancer, whose incidence and associated mortality have gradually increased worldwide. There is great enthusiasm for bench-to-bedside development of SFN as a potent chemopreventive agent, possibly alone or as an adjunct to existing chemotherapy regimens, in the oncology care setting to reduce toxicity of chemotherapeutics and potentially enhance their cancer cell-kill efficacy. In this review, we appreciate existing knowledge on SFN using a pharmacometrics approach, which is fast becoming a gold standard in discovery research and validation of New Chemical Entities and New Biological Entities in pharmaceutical industry. We discuss the epistemology of SFN target engagement and quantitative systems pharmacology with due emphasis on mechanistic pharmacology, pharmacodynamics, pharmacogenomics and metabolism of SFN. In addition, we explore the quantitative freeway to SFN translational medicine by assessing the preclinical and clinical PK/metabolism aspects of SFN that form the cornerstone of SFN pharmacometric evaluation, as well as the promise of SFN in prostate cancer. Taken together, we share perspectives on the exciting developments in translational cancer chemoprevention, with emphasis on the pharmacometric aspects, of the nutraceutical SFN which is currently in clinical trials, and suggest that the pharmacometric approach holds great promise in the SFN translational pharmacology paradigm for prostate cancer.
基金supports from the European commission for their work in pediatric clinical pharmacology(FP7 Treat infection in neonates TINN1,grant agreement no.223614,FP7 Treat infection in neonates TINN2,grant agreement no.260908,FP7 Global research in paediatrics GRIP,grant agreement no.261060,FP7 NeoVanc,grant agreement no.602041)
文摘Background:Children are in a continuous and dynamically changing state of growth and development.A thorough understanding of developmental pharmacokinetics(PK)and pharmacodynamics(PD)is required to optimize drug therapy in children.Data sources:Based on recent publications and the experience of our group,we present an outline on integrating pharmacometrics in pediatric clinical practice to develop evidence-based personalized pharmacotherapy.Results:Antibiotics in septic neonates and immunosuppressants in pediatric transplant recipients are provided as proof-of-concept to demonstrate the utility of pharmacometrics in clinical practice.Dosage individualization based on developmental PK-PD model has potential benefits of improving the efficacy and safety of drug therapy in children.Conclusion:The pharmacometric technique should be better developed and used in clinical practice to personalize drug therapy in children in order to decrease variability of drug exposure and associated risks of overdose or underdose.
文摘UCN-01 (7-Hydroxystaurosporine) is an investigational anticancer agent that is currently being evaluated as targeted therapy in phase II clinical studies. The aims of this work were to describe the population pharmacokinetics of UCN-01 in patients with advanced solid tumors, and to identify covariates in patients with advanced solid tumors that affected the pharmacokinetic parameters of UCN-01. The utility of performing this research is to provide optimization of treatment and individualized dose therapy for minimization of toxicity. So, in addition to elucidating the population pharmacokinetic parameter estimates from a Phase I trial where UCN-01 was given in combination with carboplatin in patients with advanced solid tumors, and a trial where the drug was given alone as a 72-hour infusion in the same type of population, a covariate analysis was performed in order to identify pharmacokinetic determinants of UCN-01. Using NONMEM to perform nonlinear mixed-effects modeling, a linear two-compartment model was found to provide the best fit for UCN-01 data. A meta-analysis was performed, which included pooled 3-hour and 72-hour infusion data, and provided population pharmacokinetic estimates for CL (0.0157 L/hr [6.1%RSE]), V1 (2.51 L [10.0% RSE]), Q (4.05 L/hr [14.3% RSE]), and V2 (8.39 L [6.6% RSE]). Inter-individual variability was found for each of the main pharmacokinetic parameters to be ETACL (44.9% [20.8% RSE]), ETAV1 (43.9% [39.8% RSE]), ETAQ (6.09% [62.5% RSE]), and ETAV2 (4.17% [30.0% RSE]). Body surface area was found to be a statistically-significant variable from one of the individual study analyses (3-hour infusion). Population PK modeling has contributed to a better understanding of the clinical pharmacology of UCN-01. Dose individualization may improve treatment with UCN-01. Further clinical development may be supported by optimization of combination chemotherapy.
