Université Paris Cité, IAME, Inserm, Paris, France.
Université Paris-Saclay, Inserm, CEA, Center for Immunology of Viral, Auto-immune, Hematological and Bacterial diseases (IMVA-HB/IDMIT), Fontenay-aux-Roses and Le Kremlin-Bicêtre, Paris, France.
PLoS Comput Biol. 2023 Aug 9;19(8):e1010721. doi: 10.1371/journal.pcbi.1010721. eCollection 2023 Aug.
The impact of variants of concern (VoC) on SARS-CoV-2 viral dynamics remains poorly understood and essentially relies on observational studies subject to various sorts of biases. In contrast, experimental models of infection constitute a powerful model to perform controlled comparisons of the viral dynamics observed with VoC and better quantify how VoC escape from the immune response. Here we used molecular and infectious viral load of 78 cynomolgus macaques to characterize in detail the effects of VoC on viral dynamics. We first developed a mathematical model that recapitulate the observed dynamics, and we found that the best model describing the data assumed a rapid antigen-dependent stimulation of the immune response leading to a rapid reduction of viral infectivity. When compared with the historical variant, all VoC except beta were associated with an escape from this immune response, and this effect was particularly sensitive for delta and omicron variant (p<10-6 for both). Interestingly, delta variant was associated with a 1.8-fold increased viral production rate (p = 0.046), while conversely omicron variant was associated with a 14-fold reduction in viral production rate (p<10-6). During a natural infection, our models predict that delta variant is associated with a higher peak viral RNA than omicron variant (7.6 log10 copies/mL 95% CI 6.8-8 for delta; 5.6 log10 copies/mL 95% CI 4.8-6.3 for omicron) while having similar peak infectious titers (3.7 log10 PFU/mL 95% CI 2.4-4.6 for delta; 2.8 log10 PFU/mL 95% CI 1.9-3.8 for omicron). These results provide a detailed picture of the effects of VoC on total and infectious viral load and may help understand some differences observed in the patterns of viral transmission of these viruses.
关注变种(VOC)对 SARS-CoV-2 病毒动力学的影响仍知之甚少,主要依赖于易受各种偏差影响的观察性研究。相比之下,感染的实验模型构成了一种强大的模型,可以对 VOC 观察到的病毒动力学进行对照比较,并更好地量化 VOC 如何逃避免疫反应。在这里,我们使用 78 只食蟹猴的分子和传染性病毒载量来详细描述 VOC 对病毒动力学的影响。我们首先开发了一个数学模型来重现观察到的动力学,我们发现,描述数据的最佳模型假设了一种快速的抗原依赖性免疫刺激,导致病毒感染力迅速降低。与历史变异株相比,除了 beta 以外的所有 VOC 都与逃避这种免疫反应有关,而这种效应对 delta 和 omicron 变异株尤其敏感(两者均为 p<10-6)。有趣的是,delta 变异株与病毒产生率增加 1.8 倍有关(p = 0.046),而相反,omicron 变异株与病毒产生率降低 14 倍有关(p<10-6)。在自然感染过程中,我们的模型预测,delta 变异株的病毒 RNA 峰值高于 omicron 变异株(delta 为 7.6 log10 拷贝/mL 95%CI 6.8-8;omicron 为 5.6 log10 拷贝/mL 95%CI 4.8-6.3),而峰值传染性滴度相似(delta 为 3.7 log10 PFU/mL 95%CI 2.4-4.6;omicron 为 2.8 log10 PFU/mL 95%CI 1.9-3.8)。这些结果提供了 VOC 对总病毒载量和传染性病毒载量影响的详细描述,可能有助于解释这些病毒在病毒传播模式上观察到的一些差异。