关于动物作为模型系统的有用性(第二部分):在不同的使用领域内考虑利益。

ALTEX Pub Date : 2022-01-01 DOI:10.14573/altex.2207111
Giorgia Pallocca, Marcel Leist
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引用次数: 7

摘要

在许多国家,只有在法律文件中证明了动物实验的必要性后,才能进行动物实验。由于动物在研究中的有用性也是一个重要的社会和政治问题,因此需要制定标准来组织辩论和评估。这里给出了实验动物研究的背景资料。此外,还提出了在判断其有用性时可能考虑的参数。讨论严格地集中在用作工具/测试系统/模型的动物上,以提供关于人类的信息。在此背景下,讨论了模型的一般特征和性能特征。例子给出了公认的标准(例如,鲁棒性,相关性,预测性)来判断预测模型的有用性。这里提出的主要假设是,利益评估(有用性度量)只能在严格限定的“使用域”内进行。举例说明了药物和疫苗研究、毒理学、疾病发病机制和基础生物学研究等研究领域。疗效、安全性和质量研究被强调为药物发现和生产领域的“使用领域”。建议进一步划分为个别疾病、药物靶点或症状,例如用于功效研究或病理生理学。最后,对模型优缺点的评价进行展望,得出模型的“净效益”。此外,还强调了比较动物模型与其替代品的净效益的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the usefulness of animals as a model system (part II): Considering benefits within distinct use domains.

In many countries, animal experiments can only be performed when their necessity has been demonstrated in a legal document. As the usefulness of animals in research is also a significant societal and political issue, criteria to structure debates and evaluations are needed. Here, background information is given on laboratory animal studies. Moreover, parameters that may be considered in judging their usefulness are suggested. The discussion is strictly focused on animals used as tools/test systems/models to provide information on humans. In this context, general features and performance characteristics of models are discussed. Examples are given for well-recognized criteria (e.g., robustness, relevance, predictivity) to judge the usefulness of predictive models. The main hypothesis put forward here is that a benefits evaluation (usefulness metrics) is only possible within sharply circumscribed "use domains". Examples are given for the research fields of drug and vaccine research, toxicology, disease pathogenesis, and basic biological research. Efficacy, safety, and quality studies are highlighted as "use domains" within the field of drug discovery and production. A further separation into individual diseases, drug targets or symptoms is suggested for, e.g., efficacy studies or pathophysiology. Finally, an outlook is given on the evaluation of model advantages and disadvantages to arrive at their "net benefit". Moreover, the need to compare the net benefits of animal models versus that of their alternatives is highlighted.

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