Pre‐Existing Th1 Immunity Outperforms Age in Predicting Antibody Responses to SARS‐CoV‐2 Inactivated Vaccines
Understanding and enhancing vaccine-induced immune responses in the elderly population is critical, as they face elevated risks of severe COVID-19. This work systematically delineates age-associated alterations in innate and adaptive immunity and their impact on responses to SARS-CoV-2 inactivated vaccination. Compared to young mice, aged mice exhibited polarized bystander Th1 CD4<sup>+</sup>T cell populations (31.68 ± 5.62% versus 3.31 ± 0.48%) with distinct transcriptomic signatures, which augmented humoral immunity in aged mice. In human cohorts, post-vaccination antigen-specific antibody titers are comparable across different age groups. Stratified analysis based on antibody concentration reveals that high-responder individuals possess elevated pre-existing Th1 cells at baseline, which exhibit a modest positive correlation with post-vaccination antibody titers (r = 0.423, p = 0.001). Therefore, compared to age-based stratification, baseline Th1 cells serve as a superior predictive biomarker for antibody generation following SARS-CoV-2 inactivated vaccination. Collectively, these findings unveil novel mechanisms underlying Th1-mediated vaccine immunogenicity, offering pivotal insights for developing next-generation vaccines with optimized protective efficacy.
Authors
- Jiyang Chen (ORCID: https://orcid.org/0000-0003-0043-0193)
- Chanyuan Ye
- Yida Yang (ORCID: https://orcid.org/0000-0002-9673-0969)
- Xun Zeng (ORCID: https://orcid.org/0000-0001-7292-1819)
- Xiaoli Zhang
- Hangping Yao (ORCID: https://orcid.org/0000-0001-6742-7074)
- Lingfeng Qiu
- Hongyu Jia (ORCID: https://orcid.org/0009-0004-9479-3482)
- Jia Ji
- Jueqing Gu
- Zhao Wu Meng (ORCID: https://orcid.org/0000-0003-3589-2208)
- Jiangshan Lian (ORCID: https://orcid.org/0000-0003-4419-2027)
- Yingfeng Lu
Institutions
- Jinan Stomatological Hospital (CN)
- National Center for Infectious Diseases (US)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-16
- DOI
- https://doi.org/10.1002/advs.202514147
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00