Literature DB >> 26862325

Interspecies extrapolation by physiologically based pharmacokinetic modeling.

Ahmed Ghallab1.   

Abstract

Entities:  

Year:  2015        PMID: 26862325      PMCID: PMC4743478          DOI: 10.17179/excli2015-759

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


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Recently, Christoph Thiel and colleagues from Aachen University published an improved physiologically based pharmacokinetik modeling (PBPK) technique for mouse to human extrapolation (Thiel et al., 2015[18]). This publication will be awarded by the Ebert Prize 2016 of the American Pharmacist Association, which represents the oldest pharmacy award in the United States. The translation of preclinical knowledge often generated in mice to first-in-human studies represents a critical step (Thiel et al., 2015[18]). More than 30 % of developmental compounds fail due to interspecies differences. To improve the situation, the authors used PBPK modeling to predict human plasma concentration-time profiles based on mouse data. The study was based on 10 exemplary drugs for which a comprehensive pharmacokinetic database is available. Mouse to human extrapolation was achieved by adjustment of four model parameter domains (Thiel et al., 2015[18]): species-specific physiology, such as differences in organ size, perfusion, etc. the species-specific non-protein bound fraction of the test compound, kinetic parameters, such as Vmax and KM for the primary route of excretion, and tissue-specific gene expression of the metabolizing key enzymes and transporters. The authors start with a naïve extrapolation where humans are considered as 'large mice' where the same dose per body weight was administered (Thiel et al., 2015[18]). This naïve extrapolation usually resulted in predictions that strongly deviate from the real human situation. Next the authors showed that knowledge-based adjustment of each of the four model domains leads to an improvement and allows predictions which closely resemble the measured situation in humans. A limitation of the current approach is that gene expression data were used to adjust for interspecies differences in metabolism. In future, predictions may become even more accurate if RNA based data could be replaced by metabolic activities. Interspecies differences represent a major problem in toxicology (Dohnal et al., 2014[5]; Bernauer et al., 2000[1]; Brüning et al., 2014[2]; Gerbracht and Spielmann, 1998[9]; Unkila et al., 1995[19]; Leist and Hartung, 2013[15]). Rodent to human comparisons have often been performed by comparing data in human and mouse or rat hepatocytes (Carmo et al., 2004[3], 2005[4]; Reder-Hilz et al., 2004[16]; Hewitt et al., 2007[12]; Gebhardt et al., 2003[8]; Godoy et al., 2013[10]; Hengstler et al., 1999[11]). However, differences in metabolism represent only one of several aspects which can explain interspecies differences. PBPK modeling has been used since long to predict absorption, distribution, metabolism and excretion (Sterner et al., 2013[17]; Lee et al., 2007[14]; Jonsson et al., 2001[13]; El-Masri et al., 1996[7][6]). However, the approach presented by Thiel and colleagues (2015[18]), in which all parameter domains relevant for interspecies differences can be stepwise adjusted, represents an important step to improve extrapolations from rodent models to predict the human situation.
  19 in total

1.  A physiologically based pharmacokinetic model for lactational transfer of PCB 153 with or without PCB 126 in mice.

Authors:  Sun Ku Lee; Ying C Ou; Melvin E Andersen; Raymond S H Yang
Journal:  Arch Toxicol       Date:  2006-07-21       Impact factor: 5.153

Review 2.  Primary hepatocytes: current understanding of the regulation of metabolic enzymes and transporter proteins, and pharmaceutical practice for the use of hepatocytes in metabolism, enzyme induction, transporter, clearance, and hepatotoxicity studies.

Authors:  Nicola J Hewitt; María José Gómez Lechón; J Brian Houston; David Hallifax; Hayley S Brown; Patrick Maurel; J Gerald Kenna; Lena Gustavsson; Christina Lohmann; Christian Skonberg; Andre Guillouzo; Gregor Tuschl; Albert P Li; Edward LeCluyse; Geny M M Groothuis; Jan G Hengstler
Journal:  Drug Metab Rev       Date:  2007       Impact factor: 4.518

3.  A systematic evaluation of the use of physiologically based pharmacokinetic modeling for cross-species extrapolation.

Authors:  Christoph Thiel; Sebastian Schneckener; Markus Krauss; Ahmed Ghallab; Ute Hofmann; Tobias Kanacher; Sebastian Zellmer; Rolf Gebhardt; Jan G Hengstler; Lars Kuepfer
Journal:  J Pharm Sci       Date:  2014-11-12       Impact factor: 3.534

4.  CYP2E1 expression in bone marrow and its intra- and interspecies variability: approaches for a more reliable extrapolation from one species to another in the risk assessment of chemicals.

Authors:  U Bernauer; B Vieth; R Ellrich; B Heinrich-Hirsch; G R Jänig; U Gundert-Remy
Journal:  Arch Toxicol       Date:  2000-02       Impact factor: 5.153

5.  Physiologically based pharmacokinetic/pharmacodynamic modeling of the toxicologic interaction between carbon tetrachloride and Kepone.

Authors:  H A el-Masri; R S Thomas; G R Sabados; J K Phillips; A A Constan; S A Benjamin; M E Andersen; H M Mehendale; R S Yang
Journal:  Arch Toxicol       Date:  1996       Impact factor: 5.153

6.  Assessing the reliability of PBPK models using data from methyl chloride-exposed, non-conjugating human subjects.

Authors:  F Jonsson; F Y Bois; G Johanson
Journal:  Arch Toxicol       Date:  2001-06       Impact factor: 5.153

7.  A physiologically based pharmacokinetic model for the oxime TMB-4: simulation of rodent and human data.

Authors:  Teresa R Sterner; Christopher D Ruark; Tammie R Covington; Kyung O Yu; Jeffery M Gearhart
Journal:  Arch Toxicol       Date:  2013-01-13       Impact factor: 5.153

8.  Comparative metabolism of the designer drug 4-methylthioamphetamine by hepatocytes from man, monkey, dog, rabbit, rat and mouse.

Authors:  Helena Carmo; Jan G Hengstler; Douwe de Boer; Michael Ringel; Félix Carvalho; Eduarda Fernandes; Fernando Remião; Lesseps A dos Reys; Franz Oesch; Maria de Lourdes Bastos
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2003-12-16       Impact factor: 3.000

9.  Effect of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) on tryptophan and glucose homeostasis in the most TCDD-susceptible and the most TCDD-resistant species, guinea pigs and hamsters.

Authors:  M Unkila; M Ruotsalainen; R Pohjanvirta; M Viluksela; E MacDonald; J T Tuomisto; K Rozman; J Tuomisto
Journal:  Arch Toxicol       Date:  1995       Impact factor: 5.153

Review 10.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

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  1 in total

1.  Highlight report: Metabolomics in hepatotoxicity testing.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2017-12-21       Impact factor: 4.068

  1 in total

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