StressMatic:应激动物模型创新与可靠性的桥梁

Joana Martins-Macedo , Eduardo D. Gomes , João F. Oliveira , Patrícia Patrício , Luísa Pinto
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引用次数: 0

摘要

涉及应激暴露动物模型的临床前研究通常依赖于传统的手工操作方案,这些方案费时费力,可能会影响可重复性以及将研究结果有效转化为临床应用。StressMatic 是一种自动应激暴露系统(auCMS),旨在提高应激诱导方法的标准化和可重复性。auCMS 具有一致的功效,接受自动应激源的动物与接受传统人工方法的动物表现出相似的反应,从而证实了其作为可靠工具的有效性。虽然某些应激仍需要人工参与,但关键流程的自动化已显著提高了效率,并最大限度地缩短了操作时间。这种创新方法减少了人为错误,提高了精确度,并实现了实验工作流程的标准化,从而打造了一个更强大的临床前研究平台。通过简化重复性任务,auCMS 提高了实验设计的适应性,尤其是在情绪障碍研究中。最终,这种自动化方案不仅提高了药物筛选过程的可靠性,还加强了药物发现管道,有助于深入了解行为结果并为治疗策略提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
StressMatic: Bridging innovation and reliability in animal models of stress
Preclinical research involving animal models of stress exposure typically rely on traditional manual protocols, which are laborious and time-consuming and may compromise reproducibility and the effective translation of findings into clinical applications. StressMatic is an automated stress exposure system (auCMS), designed to improve the standardization and reproducibility of stress-induction methodologies. The auCMS demonstrated consistent efficacy, with animals subjected to automated stressors displaying similar responses to those exposed to conventional manual methods, thus confirming its validity as a reliable tool. While some stressors still require human involvement, the automation of key processes has markedly enhanced efficiency and minimized operational time. This innovative approach reduces the introduction of human error, increases precision, and standardizes experimental workflows, resulting in a more robust preclinical research platform. By streamlining repetitive tasks, the auCMS promotes adaptability in experimental design, particularly in the study of mood disorders. Ultimately, this automated protocol not only enhances the reliability of pharmaceutical screening processes but also strengthens the drug discovery pipeline, facilitating deeper insights into behavioral outcomes and informing therapeutic strategies.
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