Evidence map›Paper›PMID 39780477›Full record

ArticleJournal of medical virology2025

Dynamic Changes and Trends of SARS-CoV-2 Antibodies Induced by Infection and Vaccination Across Multiple Time Points.

Shihan Zhang, Xiaoxiao Kong, Qian Zhen, Ye Wei, Chao Shi, Songning Ding, Liling Chen, Chen Dong, Hua Tian, Chuchu Li and 8 more

Abstract read
In one paragraph

Article in Journal of medical virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Shihan ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID 0009-0000-7999-5191
Xiaoxiao KongDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Qian ZhenDepartment of Acute Infectious Disease Control and Prevention, Changzhou Center for Disease Control and Prevention, Changzhou, China.
Ye WeiDepartment of Acute Infectious Disease Control and Prevention, Nantong Center for Disease Control and Prevention, Nantong, China.
Chao ShiDepartment of Acute Infectious Disease Control and Prevention, Wuxi Center for Disease Control and Prevention, Wuxi, China.
Songning DingDepartment of Acute Infectious Disease Control and Prevention, Nanjing Center for Disease Control and Prevention, Nanjing, China.
Liling ChenDepartment of Acute Infectious Disease Control and Prevention, Suzhou Center for Disease Control and Prevention, Suzhou, China.
Chen DongDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Hua TianDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Chuchu LiDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Lu ZhouDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yazhen ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
Fengcai ZhuDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Jianli HuDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Changjun BaoDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Hui JinDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.ORCID 0000-0003-0071-9755
Ke XuDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Liguo ZhuDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.

Funding

This work was supported by Social Development Foundation of Jiangsu Province (BE2021739, BE2023601); Scientific research project of Jiangsu health commission (DX202301); Jiangsu Province 333 project; National Key R&D Program of China (2023YFC2309100); SEU Innovation Capability Enhancement Plan for Doctoral Students: CXJH_SEU 24209.
6 · The paper itself

Abstract

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.

Indexed as

Antibodies, ViralCOVID-19COVID-19 VaccinesImmunoglobulin GSARS-CoV-2VaccinationAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedTime FactorsAntibodies, ViralCOVID-19 VaccinesImmunoglobulin Gbooster immunizationhybrid immunitySARS‐CoV‐2 IgG dynamicsseroepidemiology

Identifiers

PMID39780477
PMCPMC11711922

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.