Federal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N. F. Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.
Department of Virology, Biological Faculty, Lomonosov Moscow State University, 119991 Moscow, Russia.
Int J Mol Sci. 2022 Nov 24;23(23):14670. doi: 10.3390/ijms232314670.
Findings collected over two and a half years of the COVID-19 pandemic demonstrated that the level immunity resulting from vaccination and infection is insufficient to stop the circulation of new genetic variants. The short-term decline in morbidity was followed by a steady increase. The early identification of new genetic lineages that will require vaccine adaptation in the future is an important research target. In this study, we summarised data on the variability of genetic line composition throughout the COVID-19 pandemic in Moscow, Russia, and evaluated the virological and epidemiological features of dominant variants in the context of selected vaccine prophylaxes. The prevalence of the Omicron variant highlighted the low effectiveness of the existing immune layer in preventing infection, which points to the necessity of optimising the antigens used in vaccines in Moscow. Logistic growth curves showing the rate at which the new variant displaces the previously dominant variants may serve as early indicators for selecting candidates for updated vaccines, along with estimates of efficacy, reduced viral neutralising activity against the new strains, and viral load in previously vaccinated patients.
在 COVID-19 大流行的两年半时间里收集的结果表明,疫苗接种和感染产生的免疫水平不足以阻止新的遗传变异的传播。发病率的短期下降之后是稳步上升。早期识别未来需要疫苗适应的新的遗传谱系是一个重要的研究目标。在这项研究中,我们总结了俄罗斯莫斯科 COVID-19 大流行期间遗传谱系组成变化的数据,并评估了在选定疫苗预防措施背景下主要变体的病毒学和流行病学特征。奥密克戎变体的流行突显了现有免疫层在预防感染方面的低效性,这表明有必要优化莫斯科使用的疫苗抗原。显示新变体取代先前占主导地位的变体速度的逻辑增长曲线可以作为选择更新疫苗候选物的早期指标,同时还可以评估疗效、针对新毒株的病毒中和活性降低以及先前接种过疫苗的患者的病毒载量。