SARS‐CoV‐2 Evolution: Immune Dynamics, Omicron Specificity, and Predictive Modeling in Vaccinated Populations

Host immunity is central to the virus's spread dynamics, which is significantly influenced by vaccination and prior infection experiences. In this work, we analyzed the co-evolution of SARS-CoV-2 mutation, angiotensin-converting enzyme 2 (ACE2) receptor binding, and neutralizing antibody (NAb) responses across various variants in 822 human and mice vaccinated with different non-Omicron and Omicron vaccines is analyzed. The link between vaccine efficacy and vaccine type, dosing, and post-vaccination duration is revealed. The classification of immune protection against non-Omicron and Omicron variants is co-evolved with genetic mutations and vaccination. Additionally, a model, the Prevalence Score (P-Score) is introduced, which surpasses previous algorithm-based models in predicting the potential prevalence of new variants in vaccinated populations. The hybrid vaccination combining the wild-type (WT) inactivated vaccine with the Omicron BA.4/5 mRNA vaccine may provide broad protection against both non-Omicron variants and Omicron variants, albeit with EG.5.1 still posing a risk. In conclusion, these findings enhance understanding of population immunity variations and provide valuable insights for future vaccine development and public health strategies.

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Publication Details

Journal
Advanced Science
Published
2024-08-29
DOI
https://doi.org/10.1002/advs.202402639
Citations
6
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
2.33

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article

SARS‐CoV‐2 Evolution: Immune Dynamics, Omicron Specificity, and Predictive Modeling in Vaccinated Populations

Yunhui Li, Xiaobo Yu, Mansheng Li, Cheng‐Feng Qin et al.
6 citations
Advanced Science
SARS-CoV-2 and COVID-19 Research
2.33
article

SARS‐CoV‐2 Evolution: Immune Dynamics, Omicron Specificity, and Predictive Modeling in Vaccinated Populations

Yunhui Li, Xiaobo Yu, Mansheng Li, Cheng‐Feng Qin, Shubin Guo, Bingwei Wang, Xiaomei Zhang, Xiaohan Zhang, Xingming Xu, Yumin Wang, Fei Teng, Yunping Zhu, Yongzhe Li, Nana Zhang, Haolong Li, Yan Jia
article en
6 citations

Abstract

Host immunity is central to the virus's spread dynamics, which is significantly influenced by vaccination and prior infection experiences. In this work, we analyzed the co-evolution of SARS-CoV-2 mutation, angiotensin-converting enzyme 2 (ACE2) receptor binding, and neutralizing antibody (NAb) responses across various variants in 822 human and mice vaccinated with different non-Omicron and Omicron vaccines is analyzed. The link between vaccine efficacy and vaccine type, dosing, and post-vaccination duration is revealed. The classification of immune protection against non-Omicron and Omicron variants is co-evolved with genetic mutations and vaccination. Additionally, a model, the Prevalence Score (P-Score) is introduced, which surpasses previous algorithm-based models in predicting the potential prevalence of new variants in vaccinated populations. The hybrid vaccination combining the wild-type (WT) inactivated vaccine with the Omicron BA.4/5 mRNA vaccine may provide broad protection against both non-Omicron variants and Omicron variants, albeit with EG.5.1 still posing a risk. In conclusion, these findings enhance understanding of population immunity variations and provide valuable insights for future vaccine development and public health strategies.

Advanced ScienceVol. 11(40)
Nanjing University of Chinese Medicine (CN), Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Wenzhou Medical University (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN), Peking Union Medical College Hospital (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Academy of Military Medical Sciences (CN), Institute of Microbiology (CN), Beijing Proteome Research Center (CN), Beijing Ditan Hospital (CN)
Beijing Municipal Natural Science Foundation, National Key Research and Development Program of China, Science and Technology Planning Project of Guangdong Province
Good health and well-being
Openalex Percentile: Top 11%
SARS-CoV-2 and COVID-19 Research
2.33
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