Literature DB >> 8667232

Prediction of the human pharmacokinetics of troglitazone, a new and extensively metabolized antidiabetic agent, after oral administration, with an animal scale-up approach.

T Izumi1, S Enomoto, K Hosiyama, K Sasahara, A Shibukawa, T Nakagawa, Y Sugiyama.   

Abstract

We have attempted to predict the human pharmacokinetics of troglitazone after oral administration based on animal data. Troglitazone is a new antidiabetic agent that exhibits a high-metabolic clearance and is metabolized mainly in the liver to sulfate and glucuronide conjugates. The prediction of the area under the plasma concentration-time curve (AUCp.o.) and bio-availability (F) in humans after oral administration was initially attempted by use of allometric equations involving the oral plasma clearance of total (CLp.o.) or unbound drug (CLp.o.,fu), or the hepatic intrinsic clearance of unbound drug (CLuint) and animal body weight. The exponents in the allometric equations between the clearances and body weights were 0.63 to 0.82 with high correlation coefficients (r > .98), and there was no marked difference in predictability by the three methods. Next, the prediction of the range of plasma profiles after oral administration to humans was attempted by the following series of steps: (1) calculation of the exponent and coefficients in the allometric relationships between body weight and parameters, such as total body plasma clearance (CLi.v.) and various distribution volumes (Vss, V beta and Vc) based on animal data; (2) estimation of the absorption rate constant (ka) from allometric relationship to body weight, and estimation of F value from the predicted AUCp.o. (3) description of the plasma concentration-time profiles after oral administration by an equation involving the allometric exponents and coefficients, ka, F and body weight. The observed and simulated plasma profiles were similar and the predicted AUCp.o. values were 60 to 120% of those observed. These methodologies will be useful for predicting the human pharmacokinetics after oral dosing from animal data.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8667232

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  16 in total

Review 1.  Prediction of hepatic metabolic clearance: comparison and assessment of prediction models.

Authors:  J Zuegge; G Schneider; P Coassolo; T Lavé
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

2.  Allometric scaling of xenobiotic clearance: uncertainty versus universality.

Authors:  T M Hu; W L Hayton
Journal:  AAPS PharmSci       Date:  2001

Review 3.  Prediction of hepatic metabolic clearance based on interspecies allometric scaling techniques and in vitro-in vivo correlations.

Authors:  T Lavé; P Coassolo; B Reigner
Journal:  Clin Pharmacokinet       Date:  1999-03       Impact factor: 6.447

4.  Open channel block of Kv1.3 by rosiglitazone and troglitazone: Kv1.3 as the pharmacological target for rosiglitazone.

Authors:  Hye Sook Ahn; Sung Eun Kim; Hyun-Jong Jang; Myung-Jun Kim; Duck-Joo Rhie; Shin-Hee Yoon; Yang-Hyeok Jo; Myung-Suk Kim; Ki-Wug Sung; Seong Yun Kim; Sang June Hahn
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2006-11-21       Impact factor: 3.000

5.  Rosiglitazone inhibits Kv4.3 potassium channels by open-channel block and acceleration of closed-state inactivation.

Authors:  I Jeong; B H Choi; S J Hahn
Journal:  Br J Pharmacol       Date:  2011-06       Impact factor: 8.739

Review 6.  Clinical pharmacokinetics of troglitazone.

Authors:  C M Loi; M Young; E Randinitis; A Vassos; J R Koup
Journal:  Clin Pharmacokinet       Date:  1999-08       Impact factor: 6.447

7.  Hepatocellular exposure of troglitazone metabolites in rat sandwich-cultured hepatocytes lacking Bcrp and Mrp2: interplay between formation and excretion.

Authors:  Kyunghee Yang; Kim L R Brouwer
Journal:  Drug Metab Dispos       Date:  2014-05-05       Impact factor: 3.922

8.  Fractal volume of drug distribution: it scales proportionally to body mass.

Authors:  V Karalis; L Claret; A Iliadis; P Macheras
Journal:  Pharm Res       Date:  2001-07       Impact factor: 4.200

9.  PPAR-gamma activation fails to provide myocardial protection in ischemia and reperfusion in pigs.

Authors:  Ya Xu; Michael Gen; Li Lu; Jennifer Fox; Sara O Weiss; R Dale Brown; Daniel Perlov; Hasan Ahmad; Peili Zhu; Clifford Greyson; Carlin S Long; Gregory G Schwartz
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-11-04       Impact factor: 4.733

10.  Preclinical pharmacokinetics and interspecies scaling of ragaglitazar, a novel biliary excreted PPAR dual activator.

Authors:  Venkata V Pavankuamr; C A Vinu; Ramesh Mullangi; Nuggehally R Srinivas
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2007 Jan-Mar       Impact factor: 2.441

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.