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Related Concept Videos

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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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Toxicokinetics: Overview01:21

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Studies that assess how a drug is absorbed, distributed, metabolized, and excreted (ADME) at toxic doses are termed toxicokinetics. Understanding toxicokinetics helps predict adverse drug reactions (ADRs) and manage toxicity in humans.Toxicokinetics differs from pharmacokinetics mainly in the dose levels studied, with toxicokinetics focusing on higher toxic doses. The kinetics at these levels can be non-linear due to altered physiological processes. Toxicodynamics examines the relationship...
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When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
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Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
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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...
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Related Experiment Video

Updated: May 3, 2026

Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation
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Systems toxicology: from basic research to risk assessment.

Shana J Sturla1, Alan R Boobis, Rex E FitzGerald

  • 1Department of Health Sciences and Technology, Institute of Food, Nutrition and Health, ETH Zürich , Schmelzbergstrasse 9, 8092 Zürich, Switzerland.

Chemical Research in Toxicology
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Summary
This summary is machine-generated.

Systems Toxicology integrates molecular analysis with computational tools to understand chemical health risks. This approach enhances predictive safety assessments by deciphering molecular events linking exposures to adverse outcomes.

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Area of Science:

  • Toxicology
  • Computational Biology
  • Biomarker Discovery

Background:

  • Increasing societal demand for chemical safety assessment necessitates advanced risk-evaluation methods.
  • Classical toxicology requires enhancement with mechanistic insights into chemical-induced adverse outcomes.
  • Systems Toxicology offers a framework to address these needs through integrated analysis.

Purpose of the Study:

  • To present Systems Toxicology as a modern strategy for mechanistic understanding of chemical toxicity.
  • To highlight the role of Systems Toxicology in identifying and applying biomarkers for safety assessment.
  • To outline the integration of analytical and computational tools for predictive toxicology.

Main Methods:

  • Quantitative measurement of systems-wide molecular changes following chemical exposure.
  • Deciphering causal chains of molecular events from exposure to adverse outcomes.
  • Development of mathematical models to quantitatively describe toxicological processes.

Main Results:

  • Identification of biological network perturbations induced by chemical exposures.
  • Establishment of quantitative links between molecular changes and adverse health effects.
  • Development of predictive mathematical models for toxicological processes.

Conclusions:

  • Systems Toxicology provides a powerful approach for mechanistic toxicity assessment.
  • Integration of bioanalytical and computational methods enhances predictive risk assessment capabilities.
  • Biomarker identification through systems-wide analysis improves chemical safety evaluations.