In Vitro to In Vivo Extrapolation of Metabolic Rate Constants for Physiologically Based Pharmacokinetic Models

Toxicokinetics and Risk Assessment ◽

10.1201/b14275-9 ◽

2016 ◽

pp. 185-210

Author(s):

Gregory L. Kedderis

Keyword(s):

Metabolic Rate ◽

Rate Constants ◽

Pharmacokinetic Models ◽

Physiologically Based Pharmacokinetic Models ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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Efavirenz clearances in vitro and in vivo in six cynomolgus monkeys associated with polymorphic cytochrome P450 2C9 and simulated by individual physiologically based pharmacokinetic models

Biopharmaceutics & Drug Disposition ◽

10.1002/bdd.2084 ◽

2017 ◽

Vol 38 (7) ◽

pp. 439-442 ◽

Author(s):

Masahiro Utoh ◽

Tomonori Miura ◽

Takashi Kusama ◽

Shotaro Uehara ◽

Makiko Shimizu ◽

...

Keyword(s):

Cytochrome P450 ◽

Pharmacokinetic Models ◽

Cytochrome P450 2C9 ◽

Cynomolgus Monkeys ◽

Physiologically Based Pharmacokinetic Models ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based

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Combination of a biopharmaceutic classification system and physiologically based pharmacokinetic models to predict absorption properties of baicalein in vitro and in vivo

Journal of Traditional Chinese Medical Sciences ◽

10.1016/j.jtcms.2021.07.006 ◽

2021 ◽

Author(s):

Yang Liu ◽

Jing Sun ◽

Lin Ying Zhong ◽

Yu Li ◽

A Na Er ◽

...

Keyword(s):

Classification System ◽

Pharmacokinetic Models ◽

Absorption Properties ◽

Physiologically Based Pharmacokinetic Models ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

Biopharmaceutic Classification System

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Predicting human exposure of active drug after oral prodrug administration, using a joined in vitro/in silico–in vivo extrapolation and physiologically-based pharmacokinetic modeling approach

Journal of Pharmacological and Toxicological Methods ◽

10.1016/j.vascn.2012.12.002 ◽

2013 ◽

Vol 67 (3) ◽

pp. 203-213 ◽

Author(s):

Jonas Malmborg ◽

Bart A. Ploeger

Keyword(s):

In Silico ◽

Human Exposure ◽

Active Drug ◽

Physiologically Based Pharmacokinetic Modeling ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation ◽

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In vitro-in silico-based probabilistic risk assessment of combined exposure to bisphenol A and its analogues by integrating ToxCast high-throughput in vitro assays with in vitro to in vivo extrapolation (IVIVE) via physiologically based pharmacokinetic (PBPK) modeling

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2020.122856 ◽

2020 ◽

Vol 399 ◽

pp. 122856

Author(s):

Yi-Jun Lin ◽

Zhoumeng Lin

Keyword(s):

Risk Assessment ◽

Bisphenol A ◽

Pbpk Modeling ◽

In Vitro Assays ◽

Combined Exposure ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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Physiologically Based Pharmacokinetic (PBPK) Modelling for In Vitro-In Vivo Extrapolation: Emphasis on the Use of Dissolution Data

Dissolution Technologies ◽

10.14227/dt260319p18 ◽

2019 ◽

Vol 26 (3) ◽

pp. 18-27

Author(s):

Vivek M. Ghate ◽

Pinal Chaudhari ◽

Shaila A. Lewis

Keyword(s):

Pbpk Modelling ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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Evaluation of Age-Related Pyrethroid Pharmacokinetic Differences in Rats: Physiologically-Based Pharmacokinetic Model Development Using In Vitro Data and In Vitro to In Vivo Extrapolation

Toxicological Sciences ◽

10.1093/toxsci/kfz042 ◽

2019 ◽

Vol 169 (2) ◽

pp. 365-379 ◽

Author(s):

Gina Song ◽

Marjory Moreau ◽

Alina Efremenko ◽

Brian G Lake ◽

Huali Wu ◽

...

Keyword(s):

Pharmacokinetic Model ◽

Model Development ◽

Physiologically Based Pharmacokinetic ◽

Age Related ◽

Physiologically Based ◽

In Vivo Extrapolation ◽

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Application of in vitro-in vivo extrapolation (IVIVE) and physiologically based pharmacokinetic (PBPK) modelling to investigate the impact of the CYP2C8 polymorphism on rosiglitazone exposure

European Journal of Clinical Pharmacology ◽

10.1007/s00228-012-1467-3 ◽

2013 ◽

Vol 69 (6) ◽

pp. 1311-1320 ◽

Author(s):

Karen Rowland Yeo ◽

Jane R. Kenny ◽

Amin Rostami-Hodjegan

Keyword(s):

Pbpk Modelling ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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Biopharmaceutic In Vitro In Vivo Extrapolation (IVIV_E) Informed Physiologically-Based Pharmacokinetic Model of Ritonavir Norvir Tablet Absorption in Humans Under Fasted and Fed State Conditions

Molecular Pharmaceutics ◽

10.1021/acs.molpharmaceut.0c00043 ◽

2020 ◽

Vol 17 (7) ◽

pp. 2329-2344 ◽

Author(s):

Sumit Arora ◽

Amita Pansari ◽

Peter Kilford ◽

Masoud Jamei ◽

Iain Gardner ◽

...

Keyword(s):

Pharmacokinetic Model ◽

Physiologically Based Pharmacokinetic Model ◽

Fed State ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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Association with polymorphic marmoset cytochrome P450 2C19 of in vivo hepatic clearances of chirally separated R-omeprazole and S-warfarin using individual marmoset physiologically based pharmacokinetic models

Xenobiotica ◽

10.1080/00498254.2017.1393121 ◽

2017 ◽

Vol 48 (10) ◽

pp. 1072-1077 ◽

Author(s):

Takashi Kusama ◽

Akiko Toda ◽

Makiko Shimizu ◽

Shotaro Uehara ◽

Takashi Inoue ◽

...

Keyword(s):

Cytochrome P450 ◽

Pharmacokinetic Models ◽

Physiologically Based Pharmacokinetic Models ◽

Physiologically Based Pharmacokinetic ◽

Cytochrome P450 2C19 ◽

Physiologically Based

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Response to “Ethnic-Specific In Vitro–In Vivo Extrapolation and Physiologically Based Pharmacokinetic Approaches to Predict Cytochrome P450-Mediated Pharmacokinetics in Chinese Population: Opportunities and Challenges”

Clinical Pharmacokinetics ◽

10.1007/s40262-013-0118-x ◽

2013 ◽

Vol 53 (2) ◽

pp. 203-203 ◽

Author(s):

Zoe E. Barter ◽

Geoffrey T. Tucker ◽

Karen Rowland-Yeo

Keyword(s):

Cytochrome P450 ◽

Chinese Population ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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