Coordination Funds

协调基金

• 批准号: 441490213
• 负责人: Professor Dr. René H. Tolba
• 金额: --
• 依托单位: Institut für Versuchstierkunde sowie Zentrallaboratorium für Versuchstiere
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/441490213?language=en
• 关键词: Coordination; Funds

With implementation of the EU Directive 2010/63/EU, the 3R principle and the principle of stringent severity assessment - the prerequisite for refinement - have become statutory guidelines in animal experimentation. All scientific procedures have to be categorized as to whether they induce a mild, moderate or severe condition of pain, distress, suffering or lasting harm on the animals. Accordingly, evidence-based validated methods and practical guidance were needed. In order to identify and develop those methods, FOR 2591 “Severity Assessment in Animal-Based Research” was launched in April 2017 encompassing 15 groups within 7 Institutions in Germany and 1 in Switzerland. The aim of the first funding period was the evaluation of parameters and the development of new, innovative techniques allowing for an objective severity assessment in a comprehensive yet concise set of animal models. The evaluation of parameters focused on assessing the objectivity, scalability, applicability, degree of invasiveness and sensitivity.Application of more than 65 methods on 55 model systems revealed a core set of applicable parameters. In addition, multimodal assessment strategies turned out to be essential as animals experience more than a single dimension of severity during experiments including pain, anxiety, suffering, harm and the affective internal state. Utilizing the measured variables for severity assessment required Data Science approaches. These facilitated mining, selection and non-redundant combination of parameters, as well as objective grading of severity. Besides, the ground has been laid for automation systems enabling an observer-independent, non-invasive and broadly applicable severity assessment.During the 2nd funding period, it is planned to develop validated parameter-based composite scoring systems and to utilize them for comparing models, animals and methods and evaluating evidence-based refinement methods. Ideally, these systems should be independent of human judgement concerning acquisition, analysis and evaluation of data. Consequently, parameters as well as scoring systems and their underlying algorithms need to be validated and evaluated concerning generalisation and robustness. Home-cage monitoring systems will be developed to enable routine, automated and contactless assessment of the animals in real-time. Finally, normative requirements for the implementation of evidence-based severity assessment in the statutory framework will be defined.Therefore, FOR2591 will continue to follow the concept of being a multidisciplinary team with strong synergy. Biomedical research will be joined with engineering, pharmacokinetics and ethical/legal expertise. Research quality and validity will be advanced by the conduction of multilateral and multicentre studies and by general involvement of data science as well as normative methods. This all will lead to clear recommendations, feed into future policy, and increase animal welfare.

随着欧盟指令2010/63/欧盟的实施，3R原则和严格评估的原则 - 改进的先决条件 - 已成为动物实验的法定准则。所有科学程序都必须归类，以便它们是否诱导轻度，中度或严重的疼痛，痛苦，痛苦或对动物的伤害。根据，需要基于证据的验证方法和实践指导。为了识别和开发这些方法，2017年4月推出了2591年“基于动物研究的严重性评估”，其中包括在德国的7个机构中的15个小组和瑞士的1个组中。第一个融资期的目的是评估参数和开发新的创新技术，允许在一组全面而简洁的动物模型中进行客观的严重性评估。评估参数的评估集中于评估目标，可伸缩性，侵入性和灵敏度。对55个模型系统的65多种方法的应用揭示了一组适用的参数集。此外，多模式评估策略原来是必不可少的，因为动物在实验中经历的严重程度不仅仅是疼痛，焦虑，痛苦，伤害和受影响的内部状态。利用测量变量进行严重评估所需的数据科学方法。这些准备的采矿，选择和非冗余参数组合以及严重程度的客观分级。此外，该地面是为自动化系统奠定的，可以实现与观察者无关的，无创的且广泛适用的严重性评估。在第二资金期限内，计划开发基于参数的综合评分系统，并利用它们用于比较基于循证的模型，动物和方法，并评估基于循证的细化方法。理想情况下，这些系统应独立于人类关于数据的获取，分析和评估的判断。因此，需要对参数以及评分系统及其基础算法进行验证和评估，以了解概括和鲁棒性。将开发自制监测系统，以实时对动物进行常规，自动化和无接触式评估。最后，将定义在法定框架中实施基于证据的严重性评估的正常要求。因此，For2591将继续遵循具有强大协同作用的多学科团队的概念。生物医学研究将与工程，药代动力学和道德/法律专业知识一起。研究质量和有效性将通过传导多中心和多中心研究以及数据科学以及正常方法的一般参与来提高。这将导致明确的建议，融入未来的政策并增加动物福利。