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Toxicity Testing in Animals

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...

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Bioactivation is a metabolic process that transforms less reactive substances into highly reactive metabolites, initiating tissue toxicity. This transformation can lead to various toxic effects, including carcinogenesis and teratogenesis. Reactive metabolites are classified into two main types: electrophiles and free radicals.Electrophiles are electron-deficient species and are produced primarily by the enzyme cytochrome P-450 during the metabolism of compounds containing carbon, nitrogen, or...

Drug Toxicity: Overview

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Drug toxicity quantifies the harm a compound causes to an organism, varying by dose and potentially impacting whole systems or specific organs like the liver. Toxic reactions may arise from venomous insect or spider bites, with effects ranging from mild symptoms to severe outcomes such as brain damage or death. Common forms of acute poisoning include ethanol intoxication and overdose of pain or fever medications, with substances like GHB and heroin being particularly lethal at doses close to...

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Updated: Jun 12, 2026

In vitro Cell Culture Model for Toxic Inhaled Chemical Testing

In vitro Cell Culture Model for Toxic Inhaled Chemical Testing

Published on: May 8, 2014

Virtual tissues in toxicology.

Imran Shah¹, John Wambaugh

¹National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA. shah.Imran@epa.gov

Journal of Toxicology and Environmental Health. Part B, Critical Reviews

|June 25, 2010

Summary

This summary is machine-generated.

Virtual tissues (VT) offer a novel in silico approach to predict chemical health risks by simulating cellular responses. This method bridges in vitro findings to in vivo effects, advancing toxicological assessments.

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Last Updated: Jun 12, 2026

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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)

Published on: May 10, 2016

Area of Science:

Toxicology and computational biology.
Development of predictive models for chemical safety assessment.

Background:

Evaluating human health risks of numerous chemicals requires efficient methods.
In vitro models are high-throughput but struggle to predict in vivo effects across variables.
Technological advances enable in silico reconstruction of tissues for toxicological prediction.

Purpose of the Study:

To present the motivation, implementation, and application of virtual tissues (VT) for predicting chemical-induced health risks.
To demonstrate how VT can bridge in vitro observations to in vivo outcomes.
To showcase VT applications in hepatotoxicity and carcinogenesis.

Main Methods:

Utilizing agent-based modeling (ABM) to simulate thousands of heterogeneous cells and their interactions.
Constraining agent behavior with physical laws and biological rules derived from experimental data.
Integrating multiresolution imaging, multiscale simulation, and physiologic models to predict histopathological outcomes.

Main Results:

VT can simulate both acute and chronic effects of chemical exposures.
Agent behavior models can incorporate signaling and genetic regulatory networks to assess pathway involvement in injury.
The framework requires knowledge organization, chemical effect data, histologic analysis, and simulation frameworks for calibration.

Conclusions:

Virtual tissues represent a significant advancement in predicting chemical toxicity and human health risks.
This in silico approach facilitates extrapolation of toxicity data across species, chemicals, and doses.
VT hold promise for enhancing the efficiency and accuracy of toxicological evaluations.