Publications by authors named "J N Larocca"

Agrochemical active ingredients are among the most toxicologically evaluated chemical substances, and genetically modified (GM) crops must be evaluated for safety and nutritional adequacy. Traditionally, these evaluations are conducted There are concerted efforts in the agrochemical sector to reduce animal testing, but there is also an emphasis on updating test guidelines and fulfilling new data package requirements, which can both result in increased animal testing. The purpose of this project was to generate benchmarks for the numbers of vertebrate animals used in: a) evaluating agrochemical pesticidal active ingredients for human health hazards; and b) assessing GM crops for safety and nutritional adequacy, based on guideline studies for data package requirements.

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Disruption of microtubule stability in mammalian cells may lead to genotoxicity and carcinogenesis. The ability to screen for microtubule destabilization or stabilization is therefore a useful and efficient approach to aid in the design of molecules that are safe for human health. In this study, we developed a high-throughput 384-well assay combining immunocytochemistry with high-content imaging to assess microtubule disruption in the metabolically competent human liver cell line: HepaRG.

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Regulatory genetic toxicology focuses on DNA damage and subsequent gene mutations. However, genotoxic agents can also affect epigenetic marks, and incorporation of epigenetic data into the regulatory framework may thus enhance the accuracy of risk assessment. Additionally, epigenetic alterations may identify non-genotoxic carcinogens that are not captured with the current battery of tests.

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The development of safe crop protection products is a complex process that traditionally relies on intensive animal use for hazard identification. Methods that capture toxicity in early stages of agrochemical discovery programs enable a more efficient and sustainable product development pipeline. Here, we explored whether the zebrafish model can be leveraged to identify mammalian-relevant toxicity.

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Article Synopsis
  • - The integration of cellular techniques like Cell Painting and transcriptomics can enhance the selection process for agrochemical candidates, but challenges exist in connecting lab concentrations to real-world exposures.
  • - Physiologically based pharmacokinetic (PBPK) modeling offers a way to better translate lab results to actual biological effects, which is crucial for quantitative predictions.
  • - By testing different PBPK models, the study found that combining transcriptome-based points of departure (PODs) with PBPK modeling can provide a reliable estimation for predicting effects in rat liver, thereby aiding in the early discovery phase of agrochemical development.
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