A biological and a mathematical model of SLE treated by mesenchymal stem cells covering all the stages of the disease.

IF 1.3 4区 生物学 Q3 BIOLOGY
Ali Yazdani, Fariba Bahrami, Arash Pourgholaminejad, Reza Moghadasali
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Abstract

In this study, we proposed a biological model explaining the progress of autoimmune activation along different stages of systemic lupus erythematosus (SLE). For any upcoming stage of SLE, any new component is introduced, when it is added to the model. Particularly, the interaction of mesenchymal stem cells, with the components of the model, is specified in a way that both the inflammatory and anti-inflammatory functions of these cells would be covered. The biological model is then recapitulated to a model with less complexity that explains the main features of the problem. Later, a 7th-order mathematical model for SLE is proposed, based on this simplified model. Finally, the range of validity of the proposed mathematical model was assessed. For this purpose, we simulated the model and analyzed the simulation results in case of some known behaviors of the disease, such as tolerance breach, the appearance of systemic inflammation, development of clinical signs, and occurrence of flares and improvements. The model was able to reproduce these events, qualitatively.

Abstract Image

间充质干细胞治疗SLE的生物学和数学模型,涵盖疾病的所有阶段。
在这项研究中,我们提出了一个生物学模型来解释自身免疫激活在系统性红斑狼疮(SLE)不同阶段的进展。对于SLE的任何即将到来的阶段,当它被添加到模型中时,将引入任何新组件。特别是,间充质干细胞的相互作用,与模型的组成部分,被指定的方式,这些细胞的炎症和抗炎功能将被覆盖。然后将生物学模型概括为一个不那么复杂的模型,该模型可以解释问题的主要特征。在此基础上,提出了系统性红斑狼疮的七阶数学模型。最后,对所提数学模型的有效性范围进行了评估。为此,我们对该模型进行了模拟,并分析了该疾病的一些已知行为,如耐受性破坏、全身性炎症的出现、临床体征的发展、发作和改善的发生等情况下的模拟结果。该模型能够定性地再现这些事件。
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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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