Literature DB >> 11192472

The role of population pharmacokinetics in drug development in light of the Food and Drug Administration's 'Guidance for Industry: population pharmacokinetics'.

P J Williams1, E I Ette.   

Abstract

Population pharmacokinetics (PPK) has evolved from a discipline primarily applied to therapeutic drug monitoring to one that plays a significant role in clinical pharmacology in general and drug development in particular. In February 1999 the US Food and Drug Administration issued a 'Guidance for Industry: Population Pharmacokinetics' that sets out the mechanisms and philosophy of PPK and outlines its role in drug development. The application of PPK to the drug development process plays an important role in the efficient development of safe and effective drugs. PPK knowledge is essential for mapping the response surface, explaining subgroup differences, developing and evaluating competing dose administration strategies, and as an aid in designing future studies. The mapping of the response surface is done to maximise the benefit-risk ratio, so that the impact of the input profile and dose magnitude on beneficial and harmful pharmacological effects can be understood and applied to individual patients. PPK combined with simulation methods provides a tool for estimating the expected range of concentrations from competing dose administration strategies. Once extracted, this knowledge can be applied to labelling or used to assess various future study designs. PPK should be implemented across all phases of drug development. For preclinical studies, PPK can be applied to allometric scaling and toxicokinetic analyses, and is useful for determining 'first time in man' doses and explaining toxicological results. Phase I studies provide initial understanding of the structural model and the effect of possible covariates, and may later be used to evaluate PPK differences between patients and healthy individuals. Phase II studies provide the greatest opportunity to map the response surface. With these PPK models it is possible to gain an improved understanding of the role of the dose on the response surface and of the range of expected responses. In phase III and IV studies, PPK is implemented to further refine the PPK model and to explain unexpected responses. Planning for the implementation of PPK across all phases of drug development is necessary, as well as planning for individual PPK studies. Planning should include: defining important questions, identifying covariates and drug-drug interactions that need to be investigated, and identifying the applications and intended use of the model(s). The plan for each project must have a strategy for data management, data collection, data quality assurance, staff training for data collection, data analysis and model validation.

Entities:  

Mesh:

Year:  2000        PMID: 11192472     DOI: 10.2165/00003088-200039060-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  27 in total

1.  Sparse sampling for assessment of drug exposure in toxicological studies.

Authors:  P Burtin; F Mentre; J van Bree; J L Steimer
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1996 Apr-Jun       Impact factor: 2.441

2.  Analysis of animal pharmacokinetic data: performance of the one point per animal design.

Authors:  E I Ette; A W Kelman; C A Howie; B Whiting
Journal:  J Pharmacokinet Biopharm       Date:  1995-12

3.  Mixed effect modeling of sumatriptan pharmacokinetics during drug development. I: Interspecies allometric scaling.

Authors:  V F Cosson; E Fuseau; C Efthymiopoulos; A Bye
Journal:  J Pharmacokinet Biopharm       Date:  1997-04

4.  Ignorability and parameter estimation in longitudinal pharmacokinetic studies.

Authors:  E I Ette; H Sun; T M Ludden
Journal:  J Clin Pharmacol       Date:  1998-03       Impact factor: 3.126

5.  An evaluation of population pharmacokinetics in therapeutic trials. Part II. Detection of a drug-drug interaction.

Authors:  T H Grasela; E J Antal; L Ereshefsky; B G Wells; R L Evans; R B Smith
Journal:  Clin Pharmacol Ther       Date:  1987-10       Impact factor: 6.875

6.  Pharmacodynamic modeling of the electroencephalographic effects of flumazenil in healthy volunteers sedated with midazolam.

Authors:  P Fiset; H L Lemmens; T D Egan; S L Shafer; D R Stanski; T E Egan
Journal:  Clin Pharmacol Ther       Date:  1995-11       Impact factor: 6.875

7.  Population pharmacokinetics/pharmacodynamics of docetaxel in phase II studies in patients with cancer.

Authors:  R Bruno; D Hille; A Riva; N Vivier; W W ten Bokkel Huinnink; A T van Oosterom; S B Kaye; J Verweij; F V Fossella; V Valero; J R Rigas; A D Seidman; B Chevallier; P Fumoleau; H A Burris; P M Ravdin; L B Sheiner
Journal:  J Clin Oncol       Date:  1998-01       Impact factor: 44.544

8.  Direct comparison of three methods for predicting digoxin concentrations.

Authors:  P J Williams; J R Lane; E V Capparelli; Y H Kim; R Coleman
Journal:  Pharmacotherapy       Date:  1996 Nov-Dec       Impact factor: 4.705

Review 9.  Role of population pharmacokinetics in drug development. A pharmaceutical industry perspective.

Authors:  E Samara; R Granneman
Journal:  Clin Pharmacokinet       Date:  1997-04       Impact factor: 6.447

10.  Blood disoprofol levels in anesthetised patients. Correlation of concentrations after single or repeated doses with hypnotic activity.

Authors:  H K Adam; B Kay; E J Douglas
Journal:  Anaesthesia       Date:  1982-05       Impact factor: 6.955

View more
  14 in total

Review 1.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 2.  Pharmacokinetic-pharmacodynamic guided trial design in oncology.

Authors:  Ch van Kesteren; R A A Mathôt; J H Beijnen; J H M Schellens
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

3.  A new exact test for the evaluation of population pharmacokinetic and/or pharmacodynamic models using random projections.

Authors:  Celine Marielle Laffont; Didier Concordet
Journal:  Pharm Res       Date:  2011-04-14       Impact factor: 4.200

4.  Effects of UGT1A1 Polymorphism, Gender and Triglyceride on the Pharmacokinetics of Telmisartan in Chinese Patients with Hypertension: A Population Pharmacokinetic Analysis.

Authors:  Lu Huang; Liu Yang; Jie Huang; Hong-Yi Tan; Shi-Kun Liu; Cheng-Xian Guo; Xiao-Cong Zuo; Guo-Ping Yang; Qi Pei
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2019-12       Impact factor: 2.441

Review 5.  Pharmacokinetic considerations relating to tacrolimus dosing in the elderly.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

6.  A Systematic Review of Population Pharmacokinetic Models of Methotrexate.

Authors:  Yiming Zhang; Liyu Sun; Xinwei Chen; Libo Zhao; Xiaoling Wang; Zhigang Zhao; Shenghui Mei
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-01-05       Impact factor: 2.441

Review 7.  Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

8.  Population pharmacokinetics of perphenazine in schizophrenia patients from CATIE: impact of race and smoking.

Authors:  Yuyan Jin; Bruce G Pollock; Kim Coley; Del Miller; Stephen R Marder; Jeff Florian; Lon Schneider; Jeffrey Lieberman; Margaret Kirshner; Robert R Bies
Journal:  J Clin Pharmacol       Date:  2009-10-20       Impact factor: 3.126

9.  Effect of age, weight, and CYP2C19 genotype on escitalopram exposure.

Authors:  Yuyan Jin; Bruce G Pollock; Ellen Frank; Giovanni B Cassano; Paola Rucci; Daniel J Müller; James L Kennedy; Rocco Nicola Forgione; Margaret Kirshner; Gail Kepple; Andrea Fagiolini; David J Kupfer; Robert R Bies
Journal:  J Clin Pharmacol       Date:  2009-10-19       Impact factor: 3.126

Review 10.  Fundamentals of population pharmacokinetic modelling: validation methods.

Authors:  Catherine M T Sherwin; Tony K L Kiang; Michael G Spigarelli; Mary H H Ensom
Journal:  Clin Pharmacokinet       Date:  2012-09-01       Impact factor: 6.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.