使用交互式平台来编码,管理和探索与免疫相关的不良结果途径
Alexander Mazein1, Muhammad Shoaib1, Miriam Alb2
1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Journal of immunotoxicology
|December 10, 2024
概括
本研究引入了系统免疫毒理学工作流程,以预测免疫调节疗法的不良结果. 它整合了不良结果路径和系统医学疾病地图,以加强安全评估.
科学领域:
- 毒理学 毒理学 毒理学
- 系统生物学 系统生物学
- 免疫学 免疫学 免疫学
背景情况:
- 改善免疫调节疗法的非临床安全性评估至关重要.
- 目前的方法需要加强对免疫毒理学不良结果的预测能力.
研究的目的:
- 开发和说明系统免疫毒理学工作流程,以建模和预测不良结果.
- 将不良结果路径 (AOP) 概念与系统医学疾病地图相结合.
主要方法:
- 使用系统生物学格式将线性AOP扩展到分子相互作用模型中.
- 作为一个用例,利用嵌合抗原受体 (CAR) T 细胞治疗.
- 开发免疫毒性事件的知识整合和管理系统.
主要成果:
- 创建了AOPs的结构化,数字化表示,超越图形插图.
- 工作流程使免疫毒理学知识的集成,编码,管理和探索成为可能.
- 通过MINERVA平台提供在线互动地图,供社区使用.
结论:
- 开发的工作流程将AOP转换为标准化,可计算的格式,支持可重复的研究.
- 该系统有助于随着研究的发展而扩大和更新知识.
- 这种方法增强了对免疫调节疗法安全性的预测性评估.
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