Physiologically Based Pharmacokinetic Models Predicting Renal and Hepatic Concentrations of Industrial Chemicals after Virtual Oral Doses in Rats-Reference-Cited by-同舟云学术

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Physiologically Based Pharmacokinetic Models Predicting Renal and Hepatic Concentrations of Industrial Chemicals after Virtual Oral Doses in Rats

Published:2020-06-05 Issue:7 Volume:33 Page:1736-1751
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Kamiya Yusuke¹,Otsuka Shohei¹,Miura Tomonori¹,Yoshizawa Manae¹,Nakano Ayane¹,Iwasaki Miyu¹,Kobayashi Yui¹,Shimizu Makiko¹,Kitajima Masato²,Shono Fumiaki³,Funatsu Kimito³^ORCID,Yamazaki Hiroshi¹^ORCID

Affiliation:

1. Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo 194-8543, Japan

2. Fujitsu Kyusyu Systems, Higashi-hie, Hakata-ku, Fukuoka 812-0007, Japan

3. Department of Chemical System Engineering, School of Engineering, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Funder

Ministry of Economy, Trade and Industry

Japan Society for the Promotion of Science

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.0c00009

Reference149 articles.

1. Simultaneous analysis of 28 urinary VOC metabolites using ultra high performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry (UPLC-ESI/MSMS)

2. Using Biologic Markers in Blood to Assess Exposure to Multiple Environmental Chemicals for Inner-City Children 3–6 Years of Age

3. In vitro to in vivo extrapolation for high throughput prioritization and decision making

4. Incorporating Human Dosimetry and Exposure into High-ThroughputIn VitroToxicity Screening

5. Integration of Dosimetry, Exposure, and High-Throughput Screening Data in Chemical Toxicity Assessment

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1. Octanol/water partition coefficients estimated using retention times in reverse-phase liquid chromatography and calculated <i>in silico</i> as one of the determinant factors for pharmacokinetic parameter estimations of general chemical substances;The Journal of Toxicological Sciences;2024

2. Liver and Plasma Concentrations of Food Chemicals after Virtual Oral Doses Extrapolated Using <i>in Silico</i> Estimated Input Pharmacokinetic Parameters to Confirm Reported Liver Toxicity in Rats;Biological and Pharmaceutical Bulletin;2023-08-01

3. Applicability of generic PBK modelling in chemical hazard assessment: A case study with IndusChemFate;Regulatory Toxicology and Pharmacology;2022-12

4. Updated <i>in Silico</i> Prediction Methods for Fractions Absorbed and Key Input Parameters of 355 Disparate Chemicals for Physiologically Based Pharmacokinetic Models for Time-Dependent Plasma Concentrations after Virtual Oral Doses in Humans;Biological and Pharmaceutical Bulletin;2022-12-01

5. Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling;Toxicological Sciences;2022-09-26

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