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Related Concept Videos

Toxicity Testing in Animals01:23

Toxicity Testing in Animals

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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

Toxicokinetics: Overview

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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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Toxic Reactions: Overview01:26

Toxic Reactions: Overview

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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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Types of Toxins01:36

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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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Drug Toxicity: Overview01:00

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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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Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

209
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
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Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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Challenges in using the ToxRefDB as a resource for toxicity prediction modeling.

Laura M Plunkett1, A Michael Kaplan2, Richard A Becker3

  • 1Integrative Biostrategies, LLC, 1127 Eldridge Parkway, Suite 300-335, Houston, TX 77077, United States.

Regulatory Toxicology and Pharmacology : RTP
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Summary

Limitations in the EPA's Toxicity Reference Database (ToxRefDB) hinder reproductive toxicity predictions. Improvements are needed for accurate toxicity effect evaluation and endpoint designation in this crucial dataset.

Keywords:
Prediction modelsReproductive toxicityToxRefDBValidation

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Area of Science:

  • Environmental toxicology
  • Computational toxicology
  • Chemical risk assessment

Background:

  • Toxicity prediction models rely on curated datasets of known toxic and non-toxic agents.
  • The U.S. Environmental Protection Agency's (EPA) Toxicity Reference Database (ToxRefDB) is a key resource for developing such models, containing data on over 400 chemicals.

Purpose of the Study:

  • To evaluate the suitability and identify limitations of ToxRefDB data for reproductive toxicity prediction.
  • To assess challenges in interpreting toxicity effects and designating endpoints within ToxRefDB.

Main Methods:

  • An initial evaluation focused on reproductive toxicity data within ToxRefDB.
  • Analysis involved assessing the process of incorporating data from EPA Data Evaluation Records (DERs) into ToxRefDB.
  • Biological significance of reported responses was critically examined.

Main Results:

  • Limitations were identified in applying ToxRefDB data for reproductive toxicity assessments.
  • Challenges included evaluating the source data (DERs) and interpreting the biological significance of observed effects.
  • These issues impact the reliability of ToxRefDB for its intended uses.

Conclusions:

  • The current limitations of ToxRefDB, particularly for reproductive toxicity, necessitate improvements.
  • Researchers should independently verify data quality, effect interpretation, and endpoint designations before using ToxRefDB for model development or validation.
  • Enhancements to ToxRefDB or rigorous independent data vetting are crucial for reliable toxicity prediction.