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使用高通量筛选技术评估线粒体毒性。

The use of high-throughput screening techniques to evaluate mitochondrial toxicity.

作者信息

Wills Lauren P

机构信息

Department of Biology, Charleston Southern University, 9200 University Boulevard, Post Office Box 118087, Charleston, SC 29423, United States.

出版信息

Toxicology. 2017 Nov 1;391:34-41. doi: 10.1016/j.tox.2017.07.020. Epub 2017 Aug 5.

Abstract

Toxicologists and chemical regulators depend on accurate and effective methods to evaluate and predict the toxicity of thousands of current and future compounds. Robust high-throughput screening (HTS) experiments have the potential to efficiently test large numbers of chemical compounds for effects on biological pathways. HTS assays can be utilized to examine chemical toxicity across multiple mechanisms of action, experimental models, concentrations, and lengths of exposure. Many agricultural, industrial, and pharmaceutical chemicals classified as harmful to human and environmental health exert their effects through the mechanism of mitochondrial toxicity. Mitochondrial toxicants are compounds that cause a decrease in the number of mitochondria within a cell, and/or decrease the ability of mitochondria to perform normal functions including producing adenosine triphosphate (ATP) and maintaining cellular homeostasis. Mitochondrial dysfunction can lead to apoptosis, necrosis, altered metabolism, muscle weakness, neurodegeneration, decreased organ function, and eventually disease or death of the whole organism. The development of HTS techniques to identify mitochondrial toxicants will provide extensive databases with essential connections between mechanistic mitochondrial toxicity and chemical structure. Computational and bioinformatics approaches can be used to evaluate compound databases for specific chemical structures associated with toxicity, with the goal of developing quantitative structure-activity relationship (QSAR) models and mitochondrial toxicophores. Ultimately these predictive models will facilitate the identification of mitochondrial liabilities in consumer products, industrial compounds, pharmaceuticals and environmental hazards.

摘要

毒理学家和化学监管机构依赖准确有效的方法来评估和预测数千种现有及未来化合物的毒性。强大的高通量筛选(HTS)实验有潜力高效地测试大量化合物对生物途径的影响。HTS分析可用于检测多种作用机制、实验模型、浓度和暴露时长下的化学毒性。许多被归类为对人类和环境健康有害的农用、工业和医药化学品通过线粒体毒性机制发挥作用。线粒体毒物是导致细胞内线粒体数量减少和/或降低线粒体执行正常功能能力的化合物,这些正常功能包括产生三磷酸腺苷(ATP)和维持细胞内稳态。线粒体功能障碍可导致细胞凋亡、坏死、代谢改变、肌肉无力、神经退行性变、器官功能下降,最终导致整个生物体患病或死亡。开发用于识别线粒体毒物的HTS技术将提供大量数据库,揭示线粒体毒性机制与化学结构之间的重要联系。计算和生物信息学方法可用于评估化合物数据库中与毒性相关的特定化学结构,目标是开发定量构效关系(QSAR)模型和线粒体毒性基团。最终,这些预测模型将有助于识别消费品、工业化合物、药品和环境危害中的线粒体毒性风险。

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