Chemical Toxicity Testing
Chemical Toxicity Testing - Related Videos
05:44
In vitro Cell Culture Model for Toxic Inhaled Chemical Testing
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Cited by 25 •
2014
This protocol is designed to demonstrate exposure method of cell cultures to inhaled toxic chemicals. Exposure of differentiated air-liquid interface (ALI) cultures of airway epithelial cells provides a unique model of airway exposure to toxic gases such as chlorine. In this manuscript we describe effect of chlorine exposure on air-liquid interface cultures of epithelial cells and submerged culture of cardiomyocytes. In vitro exposure systems allow important mechanistic studies to evaluate...
10:55
Comprehensive Assessment of Germline Chemical Toxicity Using the Nematode Caenorhabditis elegans
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Cited by 11 •
2015
We describe the detailed steps of a high-throughput chemical assay in the nematode Caenorhabditis elegans used to assess germline toxicity. In this assay, disruption of germline function following chemical exposure is monitored using a fluorescent reporter specific to aneuploid embryos.
09:49
Kupffer Cell Isolation for Nanoparticle Toxicity Testing
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Cited by 28 •
2015
Liver macrophages, named Kupffer cells, are responsible for the capture of circulating nanoparticles. We describe here a method, of high cell purity and yield, for Kupffer cell isolation. The modified LDH assay is used here to measure the toxicity induced by carbon nanotubes in Kupffer cells.
07:07
Assessment of Endothelial Cell Migration After Exposure to Toxic Chemicals
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Cited by 9 •
2015
Investigation of early endothelial cell (EEC) migration is important to understand the pathophysiology of certain illnesses and to potentially identify novel strategies for therapeutic intervention. The following protocol describes techniques to assess cell migration that have been adapted for the investigation of EEC.
01:23
Toxicity Testing in Animals
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2026
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...
FAQs
Dose-dependent patterns show whether harmful changes increase as chemical concentration rises. Researchers can compare concentrations with endpoints such as cell viability, organ function, genetic damage, or inflammation. This relationship helps distinguish a measurable biological response from an isolated observation and supports hazard identification and risk estimation for medical substances.
The choice of biological system determines which effects can be observed. Cells may reveal changes in viability or genetic damage, while tissues and organisms can provide information about organ function. Ecosystem-level systems address broader effects. Using different levels of biological organization can produce complementary evidence rather than relying on one endpoint alone.
In vitro assays examine responses in cells or tissues, computational models add predictive analysis, and in vivo studies evaluate effects in organisms. Combining these approaches can improve prediction of human toxicity because each supplies different evidence. This integrated strategy may also reduce unnecessary animal use while retaining multiple lines of safety information.
Hazard identification asks whether a substance can produce harmful effects, such as genetic damage, inflammation, reduced cell viability, or impaired organ function. Risk estimation goes further by considering the observed effects in relation to defined chemical concentrations. Together, these evaluations help interpret safety concerns rather than treating every biological response as equivalent.
A typical workflow begins by selecting a biological system and exposing it to defined chemical concentrations. Researchers then measure relevant endpoints, including cell viability, organ function, genetic damage, or inflammation, and examine whether responses vary with dose. Results from complementary assays, computational models, or organism studies can then support safety interpretation.
During medicine development, these studies help screen drug candidates, characterize adverse effects, and guide dose selection. The same principles support safety assessment of excipients, implants, and diagnostic agents. Testing therefore contributes information at several stages, from early candidate evaluation to examination of components and products that patients may ultimately encounter.