Kutumova Elena, Kiselev Ilya, Sharipov Ruslan, Lifshits Galina, Kolpakov Fedor
Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia.
Laboratory of Bioinformatics, Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia.
Front Physiol. 2021 Nov 11;12:746300. doi: 10.3389/fphys.2021.746300. eCollection 2021.
Here we present a modular agent-based mathematical model of the human cardiovascular and renal systems. It integrates the previous models primarily developed by A. C. Guyton, F. Karaaslan, K. M. Hallow, and Y. V. Solodyannikov. We performed the model calibration to find an equilibrium state within the normal vital sign ranges for a healthy adult. We verified the model's abilities to reproduce equilibrium states with abnormal physiological values related to different combinations of cardiovascular diseases (such as systemic hypertension, chronic heart failure, pulmonary hypertension, etc.). For the model creation and validation, we involved over 200 scientific studies covering known models of the human cardiovascular and renal functions, biosimulation platforms, and clinical measurements of physiological quantities in normal and pathological conditions. We compiled detailed documentation describing all equations, parameters and variables of the model with justification of all formulas and values. The model is implemented in BioUML and available in the web-version of the software.
在此,我们展示了一种基于模块化智能体的人体心血管和肾脏系统数学模型。它整合了先前主要由A.C.盖顿、F.卡拉阿斯兰、K.M.哈洛和Y.V.索洛季亚尼科夫开发的模型。我们进行了模型校准,以在健康成年人的正常生命体征范围内找到平衡状态。我们验证了该模型再现与不同心血管疾病组合(如系统性高血压、慢性心力衰竭、肺动脉高压等)相关的异常生理值平衡状态的能力。为了创建和验证该模型,我们参考了200多项科学研究,涵盖人体心血管和肾脏功能的已知模型、生物模拟平台以及正常和病理条件下生理量的临床测量。我们编制了详细的文档,描述了模型的所有方程、参数和变量,并对所有公式和值进行了论证。该模型在BioUML中实现,并可在该软件的网络版本中获取。