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

Author:

Zhang Xiaohan12,Li Mansheng1,Zhang Nana3,Li Yunhui4,Teng Fei5,Li Yongzhe6,Zhang Xiaomei1,Xu Xingming1,Li Haolong6,Zhu Yunping1,Wang Yumin7,Jia Yan8,Qin Chengfeng3,Wang Bingwei2,Guo Shubin5,Wang Yajie4,Yu Xiaobo17ORCID

Affiliation:

1. State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences‐Beijing (PHOENIX Center) Beijing Institute of Lifeomics Beijing 102206 China

2. School of Medicine Nanjing University of Chinese Medicine Nanjing 210023 China

3. Department of Virology State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Academy of Military Medical Sciences Beijing 100071 China

4. Department of Clinical Laboratory Beijing Ditan Hospital Capital Medical University Beijing 100015 China

5. Emergency Medicine Clinical Research Center Beijing Chao‐Yang Hospital Capital Medical University Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation Beijing 100020 China

6. Department of Clinical Laboratory Peking Union Medical College Hospital Chinese Academy of Medical Science & Peking Union Medical College Beijing 100730 China

7. The First Affiliated Hospital of Wenzhou Medical University Wenzhou 325000 China

8. ProteomicsEra Medical Co. Ltd. Beijing 102206 China

Abstract

AbstractHost 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.

Funder

National Key Research and Development Program of China

Beijing Municipal Natural Science Foundation

Science and Technology Planning Project of Guangdong Province

Publisher

Wiley

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