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Modeling the Long-term Antibody Response and Duration of Immune Protection Induced by an Inactivated, Preservative-free Hepatitis A Vaccine (Healive) in Children.

Authors :
YU, Yong Pei
CHEN, Jiang Ting
JIANG, Zhi Wei
WANG, Ling
YU, Cheng Kai
YAN, Xiao Yan
YAO, Chen
XIA, Jie Lai
Source :
Biomedical & Environmental Sciences; Jul2020, Vol. 33 Issue 7, p484-492, 9p
Publication Year :
2020

Abstract

Long-term seroprotection via the hepatitis A vaccine is essential for the prevention of disease from the hepatitis A virus (HAV). Due to documented difficulties during decade-long follow-ups after receiving vaccines, statistical-modeling approaches have been applied to predict the duration of immune protection. Based on five-year follow-up data from a randomized positive-controlled trial among Chinese children (1–8 years old) following a 0, 6 months vaccination schedule, a power-law model accounting for the kinetics of B-cell turnover, as well as a modified power-law model considering a memory-B-cell subpopulation, were fitted to predict the long-term immune responses induced by HAV vaccination (Healive or Havrix). Anti-HAV levels of each individual and seroconversion rates up to 30 years after vaccination were predicted. A total of 375 participants who completed the two-dose vaccination were included in the analysis. Both models predicted that, over a life-long period, participants vaccinated with Healive would have close but slightly higher antibody titers than those of participants vaccinated with Havrix. Additionally, consistent with previous studies, more than 90% of participants were predicted to maintain seroconversion for at least 30 years. Moreover, the modified power-law model predicted that the antibody titers would reach a plateau level after nearly 15 years post-vaccination. Based on the results of our modeling, Healive may adequately induce long-term immune responses following a 0, 6 months vaccination schedule in children via induction of memory B cells to provide stable and durable immune protection. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08953988
Volume :
33
Issue :
7
Database :
Supplemental Index
Journal :
Biomedical & Environmental Sciences
Publication Type :
Academic Journal
Accession number :
145435303
Full Text :
https://doi.org/10.3967/bes2020.065