Rullmann J A C, Struemper H, Defranoux N A, Ramanujan S, Meeuwisse C M L, van Elsas A
NV Organon, Oss, The Netherlands.
Syst Biol (Stevenage). 2005 Dec;152(4):256-62. doi: 10.1049/ip-syb:20050053.
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.
一种大规模数学模型——Entelos类风湿性关节炎(RA)生理实验室平台已被开发出来,用于描述类风湿性关节炎患者受累关节中的炎症和侵蚀过程。该平台展现了炎症细胞、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最终产生了与炎症和侵蚀相关的临床指标。该模拟模型是确定性的,这使得能够追溯特定模拟结果的作用机制。不同的患者表型由不同的虚拟患者来体现。RA生理实验室平台已被用于系统地、定量地研究调节多个分子靶点的预测治疗效果,这产生了一个假定药物靶点的排名以及一个通过实验来确认模拟结果的工作流程。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,从公共文献中识别出了以前与关节炎无关的靶点。该模型为类风湿性关节炎的生物学研究提供了见解,并且可以用作假设驱动研究的平台。针对白细胞介素-12和白细胞介素-15的治疗案例研究阐述了这种方法,重点在于系统动力学分析。