Literature DB >> 12503743

Development and application of a generalized physiologically based pharmacokinetic model for multiple environmental contaminants.

Thomas M Cahill1, Ian Cousins, Donald Mackay.   

Abstract

The pharmacological disposition of four environmental contaminants resulting from acute and chronic exposure regimes is simulated using a general physiologically based pharmacological (PBPK) model. The model, which is detailed in supporting materials, is mechanistic in structure and relies on available physical-chemical partitioning and reactivity data, but experimental partitioning and absorption efficiency data can be used to refine the parameters. It is designed to complement environmental fate models, thus linking chemical emission rates with environmental and physiological behavior as part of the larger environmental risk assessment process. The model is illustratively applied to inhaled styrene and trichloroethene as well as ingested dibutyl phthalate and di(2-ethylhexyl) phthalate. The phthalate simulations include the corresponding monoester and conjugated monoester as metabolites. Tissue concentrations for each of the chemicals and metabolites are simulated for acute, occupational, and environmental exposure regimes. The same model is used for all chemicals and exposure regimes with only the physical-chemical properties, reaction rates, and exposure estimates being changed.

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Year:  2003        PMID: 12503743

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  6 in total

1.  PAVA: physiological and anatomical visual analytics for mapping of tissue-specific concentration and time-course data.

Authors:  Michael-Rock Goldsmith; Thomas R Transue; Daniel T Chang; Rogelio Tornero-Velez; Michael S Breen; Curtis C Dary
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-05-22       Impact factor: 2.745

Review 2.  Assessing the bioaccumulation potential of ionizable organic compounds: Current knowledge and research priorities.

Authors:  James M Armitage; Russell J Erickson; Till Luckenbach; Carla A Ng; Ryan S Prosser; Jon A Arnot; Kristin Schirmer; John W Nichols
Journal:  Environ Toxicol Chem       Date:  2016-12-19       Impact factor: 3.742

3.  Modeling the transplacental transfer of small molecules using machine learning: a case study on per- and polyfluorinated substances (PFAS).

Authors:  Dimitri Abrahamsson; Adi Siddharth; Joshua F Robinson; Anatoly Soshilov; Sarah Elmore; Vincent Cogliano; Carla Ng; Elaine Khan; Randolph Ashton; Weihsueh A Chiu; Jennifer Fung; Lauren Zeise; Tracey J Woodruff
Journal:  J Expo Sci Environ Epidemiol       Date:  2022-10-07       Impact factor: 6.371

4.  Cancer risk of petrochemical workers exposed to airborne PAHs in industrial Lanzhou City, China.

Authors:  Li Wang; Yuan Zhao; Xianying Liu; Tao Huang; Yanan Wang; Hong Gao; Jianmin Ma
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-19       Impact factor: 4.223

5.  Quantitative Property-Property Relationship for Screening-Level Prediction of Intrinsic Clearance of Volatile Organic Chemicals in Rats and Its Integration within PBPK Models to Predict Inhalation Pharmacokinetics in Humans.

Authors:  Thomas Peyret; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-05-22

Review 6.  Current Approaches and Techniques in Physiologically Based Pharmacokinetic (PBPK) Modelling of Nanomaterials.

Authors:  Wells Utembe; Harvey Clewell; Natasha Sanabria; Philip Doganis; Mary Gulumian
Journal:  Nanomaterials (Basel)       Date:  2020-06-29       Impact factor: 5.076

  6 in total

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