Dynamic Changes and Trends of SARS‐CoV‐2 Antibodies Induced by Infection and Vaccination Across Multiple Time Points
As the COVID-19 pandemic continues, increasingly complex vaccination and infection histories have made it urgent to investigate the antibody dynamics in populations with hybrid immunity. This study aimed to explore the multi-time-point dynamics of SARS-CoV-2 IgG antibody levels in a community-based population in Jiangsu Province, China, following the Omicron BA.5 wave, as well as the long-term persistence of IgG antibodies nearly 2 years postinfection. A total of 2737 participants across Jiangsu Province were followed up at three different time points over a 6-month period (December 2022-June 2023). Additionally, a cross-sectional serological survey was conducted in October 2024, involving 230 participants to assess long-term antibody persistence. We used generalized additive models to fit antibody dynamics curves, generalized linear mixed models to explore factors influencing antibody levels, and Kaplan-Meier survival analysis to estimate cumulative seroreversion rates. Our findings revealed that, following the large-scale Omicron BA.5 infections, over 85% of the population initially exhibited seropositive IgG levels. Older individuals (> 65 years) had significantly lower antibody levels and faster rates of decline compared to younger participants. Booster immunization reduced the risk of seroreversion by 59.79% (95% CI: 29.63%-76.46%), while individuals with multiple infections experienced slower antibody decay. In the cross-sectional survey conducted 22 months postinfection, the IgG seropositivity rate remained high, exceeding 98%, indicating sustained immunity at the population level. This study provides valuable insights into the dynamics and persistence of IgG antibody levels following large-scale infection. The results underscore the importance of tailored booster immunization strategies to sustain long-term immunity, especially in vulnerable groups like the elderly. Additionally, ongoing serological monitoring is essential for assessing population immunity and informing future vaccination strategies.
Authors
- Hui Jin (ORCID: https://orcid.org/0000-0003-0071-9755)
- Liguo Zhu (ORCID: https://orcid.org/0000-0002-0636-4089)
- Lü Zhou (ORCID: https://orcid.org/0000-0001-9014-6350)
- Xiaoxiao Kong (ORCID: https://orcid.org/0000-0002-0362-8288)
- Hua Tian (ORCID: https://orcid.org/0000-0002-9812-9835)
- Liling Chen (ORCID: https://orcid.org/0000-0001-8538-6173)
- Songning Ding
- Yazhen Zhang (ORCID: https://orcid.org/0000-0002-6357-7937)
- Ke Xu (ORCID: https://orcid.org/0000-0002-9969-3681)
- Jianli Hu (ORCID: https://orcid.org/0000-0002-3022-1950)
- Changjun Bao
- Dong Chen (ORCID: https://orcid.org/0000-0001-7627-9560)
- Chao Shi (ORCID: https://orcid.org/0000-0002-3808-8699)
- Fengcai Zhu
- Wei Ye (ORCID: https://orcid.org/0000-0002-9275-8120)
- Chuchu Li (ORCID: https://orcid.org/0009-0001-8401-2396)
- Shihan Zhang (ORCID: https://orcid.org/0009-0000-7999-5191)
- Qian Zhen
Institutions
- Chinese Center For Disease Control and Prevention (CN)
- Jiangsu Provincial Center for Disease Control and Prevention (CN)
- Nanjing Municipal Center for Disease Control And Prevention (CN)
- Southeast University (CN)
Publication Details
- Journal
- Journal of Medical Virology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1002/jmv.70161
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Government of Jiangsu Province