Modelling rheumatoid arthritis: A hybrid modelling framework to describe pannus formation in a small joint

Fiona R. Macfarlane , Mark A.J. Chaplain , Raluca Eftimie
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Abstract

Rheumatoid arthritis (RA) is a chronic inflammatory disorder that causes pain, swelling and stiffness in the joints, and negatively impacts the life of affected patients. The disease does not have a cure yet, as there are still many aspects of this complex disorder that are not fully understood. While mathematical models can shed light on some of these aspects, to date there are few such models that can be used to better understand the disease. As a first step in the mechanistic understanding of RA, in this study we introduce a new hybrid mathematical modelling framework that describes pannus formation in a small proximal interphalangeal (PIP) joint. We perform numerical simulations with this new model, to investigate the impact of different levels of immune cells (macrophages and fibroblasts) on the degradation of bone and cartilage. Since many model parameters are unknown and cannot be estimated due to a lack of experiments, we also perform a sensitivity analysis of model outputs to various model parameters (single parameters or combinations of parameters). Finally, we discuss how our model could be applied to investigate current treatments for RA, for example, methotrexate, TNF-inhibitors or tocilizumab, which can impact different model parameters.

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类风湿关节炎建模:一个混合建模框架,以描述在一个小关节中形成的肿块
类风湿性关节炎(RA)是一种慢性炎症性疾病,会导致关节疼痛、肿胀和僵硬,并对患者的生活产生负面影响。这种疾病目前还没有治愈方法,因为这种复杂疾病的许多方面还没有被完全了解。虽然数学模型可以揭示其中的一些方面,但迄今为止,很少有这样的模型可以用来更好地了解这种疾病。作为了解RA机制的第一步,在本研究中,我们引入了一个新的混合数学模型框架,描述了小近端指间关节(PIP)的pannus形成。我们使用这个新模型进行数值模拟,以研究不同水平的免疫细胞(巨噬细胞和成纤维细胞)对骨和软骨降解的影响。由于许多模型参数是未知的,并且由于缺乏实验而无法估计,我们还对模型输出对各种模型参数(单个参数或参数组合)进行了灵敏度分析。最后,我们讨论了如何将我们的模型应用于研究当前治疗RA的方法,例如,甲氨蝶呤,tnf抑制剂或托珠单抗,它们可以影响不同的模型参数。
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来源期刊
Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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