Inria, ICJ UMR5208, CNRS, Ecole Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Université Jean Monnet, Villeurbanne 69603, France.
São Paulo State University (UNESP), Institute of Biosciences, Botucatu, São Paulo 18618-689, Brazil.
J R Soc Interface. 2024 Oct;21(219):20240182. doi: 10.1098/rsif.2024.0182. Epub 2024 Oct 16.
Antibodies play an essential role in the immune response to viral infections, vaccination or antibody therapy. Nevertheless, they can be either protective or harmful during the immune response. Moreover, competition or cooperation between mixed antibodies can enhance or reduce this protective or harmful effect. Using the laws of chemical reactions, we propose a new approach to modelling the antigen-antibody complex activity. The resulting expression covers not only purely competitive or purely independent binding but also synergistic binding which, depending on the antibodies, can promote either neutralization or enhancement of viral activity. We then integrate this expression of viral activity in a within-host model and investigate the existence of steady-states and their asymptotic stability. We complete our study with numerical simulations to illustrate different scenarios: firstly, where both antibodies are neutralizing and secondly, where one antibody is neutralizing and the other enhancing. The results indicate that efficient viral neutralization is associated with purely independent antibody binding, whereas strong viral activity enhancement is expected in the case of purely competitive antibody binding. Finally, data collected during a secondary dengue infection were used to validate the model. The dataset includes sequential measurements of virus and antibody titres during viremia in patients. Data fitting shows that the two antibodies are in strong competition, as the synergistic binding is low. This contributes to the high levels of virus titres and may explain the antibody-dependent enhancement phenomenon. Besides, the mortality of infected cells is almost twice as high as that of susceptible cells, and the heterogeneity of viral kinetics in patients is associated with variability in antibody responses between individuals. Other applications of the model may be considered, such as the efficacy of vaccines and antibody-based therapies.
抗体在病毒感染、疫苗接种或抗体治疗的免疫反应中起着至关重要的作用。然而,在免疫反应中,它们可能是保护性的,也可能是有害的。此外,混合抗体之间的竞争或合作可以增强或降低这种保护或有害作用。利用化学反应的规律,我们提出了一种新的方法来模拟抗原-抗体复合物的活性。由此产生的表达式不仅涵盖了纯粹的竞争性或独立性结合,还涵盖了协同结合,协同结合取决于抗体,可以促进病毒活性的中和或增强。然后,我们将这种病毒活性的表达整合到一个宿主内模型中,并研究稳态的存在及其渐近稳定性。我们用数值模拟来完成我们的研究,以说明不同的情况:首先,两种抗体都是中和性的,其次,一种抗体是中和性的,另一种是增强性的。结果表明,有效的病毒中和与抗体的纯粹独立性结合有关,而强烈的病毒活性增强预计会在抗体的纯粹竞争性结合的情况下发生。最后,利用二次登革热感染期间收集的数据来验证该模型。该数据集包括患者病毒血症期间病毒和抗体滴度的连续测量。数据拟合表明,两种抗体之间存在强烈竞争,因为协同结合较低。这导致了高病毒滴度水平,可能解释了抗体依赖性增强现象。此外,感染细胞的死亡率几乎是易感细胞的两倍,患者中病毒动力学的异质性与个体之间抗体反应的可变性有关。该模型还可以考虑其他应用,例如疫苗和抗体治疗的疗效。