School of Life Science, Dezhou University, Dezhou 253023, China.
School of Medicine, Dezhou University, Dezhou 253023, China.
Viruses. 2024 Jan 31;16(2):216. doi: 10.3390/v16020216.
Infectious diseases, such as Dengue fever, pose a significant public health threat. Developing a reliable mathematical model plays a crucial role in quantitatively elucidating the kinetic characteristics of antibody-virus interactions. By integrating previous models and incorporating the antibody dynamic theory, we have constructed a novel and robust model that can accurately simulate the dynamics of antibodies and viruses based on a comprehensive understanding of immunology principles. It explicitly formulates the viral clearance effect of antibodies, along with the positive feedback stimulation of virus-antibody complexes on antibody regeneration. In addition to providing quantitative insights into the dynamics of antibodies and viruses, the model exhibits a high degree of accuracy in capturing the kinetics of viruses and antibodies in Dengue fever patients. This model offers a valuable solution to modeling the differences between primary and secondary Dengue infections concerning IgM/IgG antibodies. Furthermore, it demonstrates that a faster removal rate of antibody-virus complexes might lead to a higher peak viral loading and worse clinical symptom. Moreover, it provides a reasonable explanation for the antibody-dependent enhancement of heterogeneous Dengue infections. Ultimately, this model serves as a foundation for constructing an optimal mathematical model to combat various infectious diseases in the future.
传染病，如登革热，对公共卫生构成重大威胁。开发可靠的数学模型对于定量阐明抗体-病毒相互作用的动力学特征至关重要。通过整合以前的模型并结合抗体动力学理论，我们构建了一个新颖而强大的模型，可以根据对免疫学原理的全面理解，准确模拟抗体和病毒的动力学。它明确规定了抗体的病毒清除效应，以及病毒-抗体复合物对抗体再生的正反馈刺激。除了提供对抗体和病毒动力学的定量见解外，该模型还在捕捉登革热患者中病毒和抗体的动力学方面具有高度准确性。该模型为建模原发性和继发性登革热感染之间的 IgM/IgG 抗体差异提供了有价值的解决方案。此外，它表明抗体-病毒复合物更快的清除率可能导致更高的峰值病毒载量和更严重的临床症状。此外，它为异质性登革热感染的抗体依赖性增强提供了合理的解释。最终，该模型为构建未来对抗各种传染病的最佳数学模型奠定了基础。
