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作为一种简单且廉价的临床前药代动力学和毒性模型。

as a Simple and Cheap Preclinical Pharmacokinetic and Toxicity Model.

机构信息

Department of Biotechnology, Chemistry and Pharmacy, University of Siena, via A. Moro, 53100 Siena, Italy.

Research Centre for Plant Protection and Certification (CREA-DC), via di Lanciola 12/A, 50125 Firenze, Italy.

出版信息

Int J Mol Sci. 2023 Jan 24;24(3):2296. doi: 10.3390/ijms24032296.

Abstract

The progression of drugs into clinical phases requires proper toxicity assessment in animals and the correct identification of possible metabolites. Accordingly, different animal models are used to preliminarily evaluate toxicity and biotransformations. Rodents are the most common models used to preliminarily evaluate the safety of drugs; however, their use is subject to ethical consideration and elevated costs, and strictly regulated by national legislations. Herein, we developed a novel, cheap and convenient toxicity model using coleoptera (TMC). A panel of 15 drugs-including antivirals and antibacterials-with different therapeutic applications was administered to TMC and the LD50 was determined. The values are comparable with those already determined in mice and rats. In addition, a TMC model was used to determine the presence of the main metabolites and in vivo pharmacokinetics (PK), and results were compared with those available from in vitro assays and the literature. Taken together, our results demonstrate that TMC can be used as a novel and convenient preliminary toxicity model to preliminarily evaluate the safety of experimental compounds and the formation of main metabolites, and to reduce the costs and number of rodents, according to 3R principles.

摘要

药物进入临床阶段需要在动物体内进行适当的毒性评估,并正确识别可能的代谢物。因此,不同的动物模型被用于初步评估毒性和生物转化。啮齿动物是最常用于初步评估药物安全性的模型;然而,它们的使用受到伦理考虑和高昂成本的限制,并且受到国家立法的严格监管。在此,我们使用鞘翅目昆虫(TMC)开发了一种新颖、廉价且方便的毒性模型。将一组包括抗病毒药和抗菌药在内的 15 种具有不同治疗应用的药物给予 TMC,并确定 LD50。这些值与已在小鼠和大鼠中确定的值相当。此外,还使用 TMC 模型来确定主要代谢物的存在和体内药代动力学(PK),并将结果与体外测定和文献中的结果进行比较。总之,我们的结果表明,TMC 可以用作一种新颖、方便的初步毒性模型,用于初步评估实验化合物的安全性和主要代谢物的形成,并根据 3R 原则降低啮齿动物的数量和成本。

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