Literature DB >> 30569284

Interethnic scaling of fraction unbound of a drug in plasma and volume of distribution: an analysis of extrapolation from Caucasians to Chinese.

Guo Yu1,2,3, Hong-Hao Zhou3, Qing-Shan Zheng4, Guo-Fu Li5,6,7.   

Abstract

PURPOSE: Prospective prediction of pharmacokinetic properties for individuals of different ethnic groups could provide useful information for the design of multiregional clinical trials. The accuracy of interethnic scaling of fraction unbound (fu) of a drug could determine in large part the predictive capability of volume of distribution as well as renal clearance. As such, exploring the interethnic extrapolation of fu from healthy Caucasian to Chinese subjects and associated effect on the scaling of volume of distribution is highly warranted.
METHODS: This study assessed the interethnic scaling of fu from healthy Caucasians to Chinese by using physiologically based principles and verified the approach after examining with experimentally determined fu values of a variety of reference compounds with differing binding characteristics. Moreover, the fundamental assumption of interethnic extrapolation of volume of distribution (Vd), namely the equivalency of unbound Vd (Vd,u) across different ethnic groups, was tested on the basis of observed Vd data derived from comprehensive literature analysis and scaled fu values through qualified extrapolation method.
RESULTS: The interethnic extrapolation approach of fu provided a high accuracy with 94.7% scaled Chinese fu values (n = 19) being within a 1.25%-fold error range. Specifically, 100% of scaled Chinese fu values for the albumin-bound compounds and 90% for those bound to alpha 1-acid glycoprotein fell within the 1.25%-fold error range. All the percentage prediction errors of scaled Chinese fu values were ≤ 30%, with a majority of those ≤ 20%. Additionally, correlation between the prediction errors and the observed fu levels was not observed. Regarding interethnic scaling of Vd, the bodyweight-normalized Vd,u instead of Vd was similar across ethnic groups.
CONCLUSION: The current study verified for the first time the ability to scale Chinese fu from Caucasian values after examining with experimentally determined fu values of a variety of reference compounds. Similarities in bodyweight-normalized Vd,u between non-obese Caucasians and Chinese have also been shown for the first time. This investigation could greatly enhance the confidence in the interethnic extrapolation of fu and Vd from healthy non-obese Caucasian to Chinese subjects.

Entities:  

Keywords:  Clinical pharmacokinetics; Fraction unbound; Healthy subjects; Interethnic scaling; Volume of distribution

Mesh:

Substances:

Year:  2018        PMID: 30569284     DOI: 10.1007/s00228-018-02610-z

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  40 in total

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Authors:  Kiman Kim; Julie A Johnson; Hartmut Derendorf
Journal:  J Clin Pharmacol       Date:  2004-10       Impact factor: 3.126

2.  Development of a novel method for predicting human volume of distribution at steady-state of basic drugs and comparative assessment with existing methods.

Authors:  Patrick Poulin; Frank-Peter Theil
Journal:  J Pharm Sci       Date:  2009-12       Impact factor: 3.534

Review 3.  Nonlinear Protein Binding: Not What You Think.

Authors:  Amelia N Deitchman; Ravi Shankar Prasad Singh; Hartmut Derendorf
Journal:  J Pharm Sci       Date:  2018-04-04       Impact factor: 3.534

4.  Calculating percentage prediction error: a user's note.

Authors:  G Wu; M Baraldo; M Furlanut
Journal:  Pharmacol Res       Date:  1995-10       Impact factor: 7.658

5.  Racial differences in drug response. Altered sensitivity to and clearance of propranolol in men of Chinese descent as compared with American whites.

Authors:  H H Zhou; R P Koshakji; D J Silberstein; G R Wilkinson; A J Wood
Journal:  N Engl J Med       Date:  1989-03-02       Impact factor: 91.245

6.  Comparison of alprazolam plasma levels in normal Asian and Caucasian male volunteers.

Authors:  K M Lin; J K Lau; R Smith; P Phillips; E Antal; R E Poland
Journal:  Psychopharmacology (Berl)       Date:  1988       Impact factor: 4.530

Review 7.  Challenges and Opportunities With Oncology Drug Development in China.

Authors:  Gaurav Bajaj; Manish Gupta; Hwei-Gene Heidi Wang; Jeffrey S Barrett; Matthew Tan; Katrin Rupalla; Richard Bertz; Jennifer Sheng
Journal:  Clin Pharmacol Ther       Date:  2018-03-08       Impact factor: 6.875

8.  Drug Distribution to Human Tissues: Prediction and Examination of the Basic Assumption in In Vivo Pharmacokinetics-Pharmacodynamics (PK/PD) Research.

Authors:  Patrick Poulin
Journal:  J Pharm Sci       Date:  2015-03-25       Impact factor: 3.534

Review 9.  Effects of drug transporters on volume of distribution.

Authors:  Anita Grover; Leslie Z Benet
Journal:  AAPS J       Date:  2009-04-28       Impact factor: 4.009

10.  Diazepam effects and kinetics in Caucasians and Orientals.

Authors:  M M Ghoneim; K Korttila; C K Chiang; L Jacobs; R D Schoenwald; S P Mewaldt; K O Kayaba
Journal:  Clin Pharmacol Ther       Date:  1981-06       Impact factor: 6.875

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