Longitudinal antibody dynamics after COVID-19 vaccine boosters based on prior infection status and booster doses

被引:11
作者
Matsumoto, Naomi [1 ]
Sasaki, Ayako [2 ]
Kadowaki, Tomoka [2 ]
Mitsuhashi, Toshiharu [3 ]
Takao, Soshi [1 ]
Yorifuji, Takashi [1 ]
机构
[1] Okayama Univ, Fac Med Dent & Pharmaceut Sci, Dept Epidemiol, 2-5-1 Shikata Cho,Kita Ku, Okayama 7008558, Japan
[2] Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Dept Epidemiol, Okayama, Japan
[3] Okayama Univ Hosp, Ctr Innovat Clin Med, Okayama, Japan
关键词
D O I
10.1038/s41598-024-55245-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Global concern over COVID-19 vaccine distribution disparities highlights the need for strategic booster shots. We explored longitudinal antibody responses post-booster during the Omicron wave in a Japanese cohort, emphasizing prior infection and booster doses. This prospective cohort study included 1763 participants aged 18 years and older with at least three vaccine doses (7376 datapoints). Antibody levels were measured every 2 months. We modeled temporal declines in antibody levels after COVID-19 vaccine boosters according to prior infection status and booster doses using a Bayesian linear mixed-effects interval-censored model, considering age, sex, underlying conditions, and lifestyle. Prior infection enhanced post-booster immunity (posterior median 0.346, 95% credible interval [CrI] 0.335-0.355), maintaining antibody levels (posterior median 0.021; 95% CrI 0.019-0.023) over 1 year, in contrast to uninfected individuals whose levels had waned by 8 months post-vaccination. Each additional booster was correlated with higher baseline antibody levels and slower declines, comparing after the third dose. Female sex, older age, immunosuppressive status, and smoking history were associated with lower baseline post-vaccination antibodies, but not associated with decline rates except for older age in the main model. Prior infection status and tailored, efficient, personalized booster strategies are crucial, considering sex, age, health conditions, and lifestyle.
引用
收藏
页数:11
相关论文
共 29 条
[1]  
[Anonymous], 2023, Vaccination Schedule for the New Corona Vaccine|Prime Minister's Official Residence Website
[2]  
[Anonymous], 2023, WHO COR COVID 19 DAS
[3]  
[Anonymous], 2023, M MAT VACC REL BIOL
[4]  
[Anonymous], 2023, SAGE updates COVID-19 vaccination guidance
[5]   Immune responses after omicron infection in triple-vaccinated health-care workers with and without previous SARS-CoV-2 infection [J].
Blom, Kim ;
Marking, Ulrika ;
Havervall, Sebastian ;
Norin, Nina Greilert ;
Gordon, Max ;
Garcia, Marina ;
Tecleab, Teghesti ;
Christ, Wanda ;
Forsell, Mattias ;
Phillipson, Mia ;
Nilsson, Peter ;
Mangsbo, Sara ;
Hober, Sophia ;
Aberg, Mikael ;
Klingstrom, Jonas ;
Thalin, Charlotte .
LANCET INFECTIOUS DISEASES, 2022, 22 (07) :943-945
[6]  
CDC COVID Data Tracker, 2023, Summary of Variant Surveillance
[7]  
Current Comment, 1938, J Am Med Assoc., V110, P374, DOI [10.1001/JAMA.1938.02790050052014, DOI 10.1001/JAMA.1938.02790050052014]
[8]  
Editorial Board of the Medical Practice Guide (Japan), 2023, Guide to Medical Treatment of COVID-19 (Japan) Version 10.0
[9]  
Global, 2022, WHO releases global COVID-19 vaccination strategy update to reach unprotected Internet
[10]  
Goldberg Y, 2022, NEW ENGL J MED, V386, P2201, DOI 10.1056/NEJMoa2118946