对抗类风湿关节炎的系统生物学:Entelos PhysioLab平台的应用。

J A C Rullmann, H Struemper, N A Defranoux, S Ramanujan, C M L Meeuwisse, A van Elsas
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引用次数: 50

摘要

一个大规模的数学模型,即Entelos类风湿关节炎(RA) PhysioLab平台,已经被开发出来,用来描述类风湿关节炎患者关节的炎症和侵蚀过程。该平台代表了炎症细胞、内皮细胞、滑膜成纤维细胞和软骨细胞的生命周期,以及它们的产物和相互作用。这些过程之间的相互作用在炎症和糜烂的临床相关措施中达到顶峰。仿真模型是确定性的,它允许回溯特定仿真结果的作用机制。不同的患者表型由不同的虚拟患者代表。RA PhysioLab平台已被用于系统和定量地研究调节几个分子靶点的预测治疗效果,从而得出了假定的药物靶点的排名和实验验证模拟的工作流程。此外,还确定了驱动预测疾病结果的关键途径。在这些途径中,从公共文献中确定了以前与关节炎无关的靶点。该模型提供了对类风湿性关节炎生物学的见解,并可作为假设驱动研究的平台。针对IL-12和IL-15的治疗案例研究说明了这种方法,重点是系统动力学分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systems biology for battling rheumatoid arthritis: application of the Entelos PhysioLab platform.

A large-scale mathematical model, the Entelos Rheumatoid Arthritis (RA) PhysioLab platform, has been developed to describe the inflammatory and erosive processes in afflicted joints of people suffering from RA. The platform represents the life cycle of inflammatory cells, endothelium, synovial fibroblasts, and chondrocytes, as well as their products and interactions. The interplay between these processes culminates in clinically relevant measures for inflammation and erosion. The simulation model is deterministic, which allows tracing back the mechanism of action for a particular simulation result. Different patient phenotypes are represented by different virtual patients. The RA PhysioLab platform has been used to systematically and quantitatively study the predicted therapeutic effect of modulating several molecular targets, which resulted in a ranking of putative drug targets and a workflow to confirm the simulations experimentally. In addition, critical pathways were identified that drive the predicted disease outcome. Within these pathways, targets were identified from public literature that were not previously associated with arthritis. The model provides insights into the biology of RA and can be used as a platform for hypothesis-driven research. Case studies of therapies directed against IL-12 and IL-15 illustrate the approach, with emphasis on the analysis of system dynamics.

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