In vitro-in vivo extrapolation of renal drug clearance within physiologically-based pharmacokinetic paradigm

Proceedings for Annual Meeting of The Japanese Pharmacological Society ◽

10.1254/jpssuppl.wcp2018.0_sy68-4 ◽

2018 ◽

Vol WCP2018 (0) ◽

pp. SY68-4

Author(s):

Aleksandra Galetin

Keyword(s):

Drug Clearance ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

Renal Drug Clearance ◽

In Vivo Extrapolation

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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 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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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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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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CYP2B6 Pharmacogenetics–Based In Vitro–In Vivo Extrapolation of Efavirenz Clearance by Physiologically Based Pharmacokinetic Modeling

Drug Metabolism and Disposition ◽

10.1124/dmd.113.051755 ◽

2013 ◽

Vol 41 (12) ◽

pp. 2004-2011 ◽

Author(s):

Cong Xu ◽

Sara K. Quinney ◽

Yingying Guo ◽

Stephen D. Hall ◽

Lang Li ◽

...

Keyword(s):

Pharmacokinetic Modeling ◽

Physiologically Based Pharmacokinetic Modeling ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation

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Computational Predictions of Mycophenolic Acid Exposure after Oral Administration using a Joined In Vitro–In Vivo Extrapolation and Physiologically-Based Pharmacokinetic Modeling Approach in Caucasian and Chinese Healthy Volunteers and Patients With Varying Degree of Renal Impairment

Transplantation Journal ◽

10.1097/01.tp.0000520312.63960.a6 ◽

2017 ◽

Vol 101 ◽

pp. S13-S14 ◽

Author(s):

Rujuta Joshi ◽

Raman Venkataramanan ◽

Hari Varun Kalluri

Keyword(s):

Renal Impairment ◽

Oral Administration ◽

Mycophenolic Acid ◽

Physiologically Based Pharmacokinetic Modeling ◽

Physiologically Based Pharmacokinetic ◽

Physiologically Based ◽

In Vivo Extrapolation ◽

Computational Predictions

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