Literature DB >> 10438659

Estimation of systemic toxicity of acrylamide by integration of in vitro toxicity data with kinetic simulations.

J DeJongh1, M Nordin-Andersson, B A Ploeger, A Forsby.   

Abstract

Neurodegenerative properties of acrylamide were studied in vitro by exposure of differentiated SH-SY5Y human neuroblastoma cells for 72 h. The number of neurites per cell and the total cellular protein content were determined every 24 h throughout the exposure and the subsequent 96-h recovery period. Using kinetic data on the metabolism of acrylamide in rat, a biokinetic model was constructed in which the in vitro toxicity data were integrated. Using this model, we estimated the acute and subchronic toxicity of acrylamide for the rat in vivo. These estimations were compared to experimentally derived lowest observed effect doses (LOEDs) for daily intraperitoneal exposure (1, 10, 30, and 90 days) to acrylamide. The estimated LOEDs differed maximally twofold from the experimental LOEDs, and the nonlinear response to acrylamide exposure over time was simulated correctly. It is concluded that the integration of the present in vitro toxicity data with kinetic data gives adequate estimates of acute and subchronic neurotoxicity resulting from acrylamide exposure. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10438659     DOI: 10.1006/taap.1999.8670

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  5 in total

1.  Single-cell ELISA and flow cytometry as methods for highlighting potential neuronal and astrocytic toxicant specificity.

Authors:  E K Woehrling; E J Hill; E E Torr; M D Coleman
Journal:  Neurotox Res       Date:  2010-06-15       Impact factor: 3.911

2.  MEGen: A Physiologically Based Pharmacokinetic Model Generator.

Authors:  George Loizou; Alex Hogg
Journal:  Front Pharmacol       Date:  2011-11-10       Impact factor: 5.810

3.  The need for a new toxicity testing and risk analysis paradigm to implement REACH or any other large scale testing initiative.

Authors:  Bas J Blaauboer; Melvin E Andersen
Journal:  Arch Toxicol       Date:  2007-01-30       Impact factor: 5.153

4.  Defining in vivo dose-response curves for kidney DNA adduct formation of aristolochic acid I in rat, mouse and human by an in vitro and physiologically based kinetic modeling approach.

Authors:  Rozaini Abdullah; Sebastiaan Wesseling; Bert Spenkelink; Jochem Louisse; Ans Punt; Ivonne M C M Rietjens
Journal:  J Appl Toxicol       Date:  2020-07-07       Impact factor: 3.446

5.  Predictive Performance of Next Generation Physiologically Based Kinetic (PBK) Model Predictions in Rats Based on In Vitro and In Silico Input Data.

Authors:  Ans Punt; Jochem Louisse; Nicole Pinckaers; Eric Fabian; Bennard van Ravenzwaay
Journal:  Toxicol Sci       Date:  2022-02-28       Impact factor: 4.849

  5 in total

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