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Toxicity Testing in Animals01:23

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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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Toxic Reactions: Overview01:26

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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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Drug toxicities can be stratified into pharmacological, pathological, or genotoxic based on their mechanisms. The incidence and severity of these toxicities generally increase with the drug's concentration in the body and exposure time.Pharmacological toxicity is evident when the therapeutic effects of drugs overshoot into adverse reactions in a predictable, dose-dependent manner. Central nervous system (CNS) depression from barbiturates is a classic example, with effects escalating from...
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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

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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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Emerging approaches in predictive toxicology.

Luoping Zhang1, Cliona M McHale, Nigel Greene

  • 1Genes and Environment Laboratory, Division of Environmental Health and Sciences, School of Public Health, University of California, Berkeley, California.

Environmental and Molecular Mutagenesis
|July 22, 2014
PubMed
Summary
This summary is machine-generated.

Predictive toxicology uses advanced computational models and high-throughput systems, including genomics and 3D models, to assess chemical and drug toxicity for human health. Future research aims to refine these methods for broader chemical compound analysis.

Keywords:
genotoxicityin silico approachesmodel systemspredictive toxicology

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Area of Science:

  • Toxicology
  • Drug Development
  • Computational Biology

Background:

  • Predictive toxicology is crucial for chemical safety and drug development.
  • Established in vitro and in vivo assays exist, but new technologies promise significant advancements.
  • High-throughput analytical technologies and novel model systems are transforming the field.

Purpose of the Study:

  • To provide an overview of the current state of predictive toxicology science.
  • To discuss future perspectives and challenges in human toxicity prediction.
  • To highlight the role of computational and genomics approaches.

Main Methods:

  • Review of current scientific literature and advancements.
  • Discussion of computational modeling for predictive toxicology.
  • Exploration of functional and comparative genomics approaches.
  • Analysis of high-throughput model systems, including 3D models and stem cells.

Main Results:

  • Computational models require refinement and face obstacles in expanding to new chemical classes.
  • Genomics approaches show promise, especially with new high-throughput systems.
  • Three-dimensional model systems and stem cells offer advantages for predictive toxicology testing.

Conclusions:

  • Advancements in high-throughput technologies and model systems are revolutionizing predictive toxicology.
  • Further refinement of computational models and integration of genomics are key for future progress.
  • Novel systems like 3D models and stem cells present significant opportunities for accurate toxicity testing.