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A NONLINEAR MATHEMATICAL MODEL OF AN IMMUNOTHERAPY TREATMENT OF PARATHYROID CARCINOMA

机译:甲状旁腺癌免疫治疗的非线性数学模型

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摘要

A mathematical model has been developed that describes the competitive binding process present in an immunotherapy treatment for parathyroid carcinoma. Compartmental analysis was employed to relate the flow and interaction of parathyroid hormone (PTH) and antibodies during the treatment. The model indicates a mechanism of how the antibody response effectively reduces the levels of free PTH. The results suggest that a maximum immune response occurs at approximately 13 weeks after the initial treatment. The immunotherapy treatment used injections of PTH hormone to induce an immune response; it was found that these injections had no negative effect on the PTH levels in the system. Additionally, the model allowed several conclusions to be drawn relating to optimal parameter choices with respect to treatment. For antibody binding the optimal level of effect was around 10~9s~(-1), this is within the published in vivo range of 10~8-10~(10)s~(-1). It was also established that the concentrations of parathyroid receptors are crucial in determining the pharmacodynamic effects of the treatment.
机译:已经开发了描述在甲状旁腺癌的免疫治疗中存在的竞争性结合过程的数学模型。在治疗过程中使用室间隔分析来关联甲状旁腺激素(PTH)和抗体的流动和相互作用。该模型表明了抗体反应如何有效降低游离PTH水平的机制。结果表明最大的免疫反应发生在初始治疗后约13周。免疫疗法是通过注射PTH激素来诱导免疫反应。已发现这些注射对系统中的PTH水平没有负面影响。另外,该模型允许得出关于治疗方面最佳参数选择的几个结论。对于抗体结合,最佳作用水平在10〜9s〜(-1)左右,这在已公开的体内10〜8-10〜(10)s〜(-1)范围内。还确定甲状旁腺受体的浓度对于确定治疗的药效学作用至关重要。

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