Perez Mara, Actis Marcelo, Sanchez Ignacio, Hernandez-Vargas Esteban A, González Alejandro H
Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), Consejo Nacional de Investigaciones científicas y técnicas (CONICET) and Universidad Nacional del Litoral (UNL), Santa Fe, Argentina.
Facultad de Ingeniería Química (FIQ), Universidad Nacional del Litoral (UNL) and Consejo Nacional de Investigaciones científicas y técnicas (CONICET), Santa Fe, Argentina.
Math Biosci. 2025 Jan;379:109339. doi: 10.1016/j.mbs.2024.109339. Epub 2024 Nov 20.
A fraction of individuals infected with SARS-CoV-2 experienced rebounds when treated with effective antivirals such as Nirmatrelvir/Ritonavir (Paxlovid). Although this phenomenon has been studied from biological and statistical perspectives, the underlying dynamical mechanism is not yet fully understood. In this work, we characterize the dynamic behavior of a target-cell model to explain post-treatment rebounds from the perspective of set-theoretic stability analysis. Without relying on the effects of the adaptive immune system or the resistance through viral mutations, we develop mathematical conditions for antiviral treatments to avoid viral rebound. Simulation results illustrate the critical role of dosage (i.e., the doses and timing of administration) in taking advantage of highly effective drugs and tailoring therapies.
一小部分感染了严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的个体在接受奈玛特韦/利托那韦(Paxlovid)等有效抗病毒药物治疗时出现了病毒反弹。尽管已经从生物学和统计学角度对这一现象进行了研究,但其潜在的动力学机制尚未完全理解。在这项工作中,我们刻画了一个靶细胞模型的动态行为,从集合论稳定性分析的角度解释治疗后的病毒反弹。在不依赖适应性免疫系统的作用或病毒突变产生的耐药性的情况下,我们得出了抗病毒治疗避免病毒反弹的数学条件。模拟结果说明了剂量(即给药剂量和时间)在利用高效药物和定制治疗方案方面的关键作用。