Evaluation of determinants of the serological response to the quadrivalent split‐inactivated influenza vaccine

Molecular Systems Biology

Elodie Ghedin¹  Shaohuan Wu¹  Christine Vogel¹  Ted M Ross²  Michael A Carlock²  Hyungwon Choi³ 

[1] Center for Genomics and Systems Biology New York University NY USA;Department of Infectious Diseases College of Veterinary Medicine University of Georgia Athens GA USA;Department of Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore City Singapore;

关键词: human cohort;    immune response;    influenza;    split‐inactivated influenza vaccine;    statistical modeling;   

DOI  :  10.15252/msb.202110724

来源: DOAJ

【 摘 要 】

Abstract The seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from > 1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI) titer levels one year after. We evaluated the predictive capabilities of age, body mass index (BMI), sex, race, comorbidities, vaccination history, and baseline HAI titers, as well as vaccination month and vaccine dose in multiple linear regression models. The models predicted the categorical response for > 75% of the cases in all subsets with one exception. Prior vaccination, baseline titer level, and age were the major determinants of seroconversion, all of which had negative effects. Further, we identified a gender effect in older participants and an effect of vaccination month. BMI had a surprisingly small effect, likely due to its correlation with age. Comorbidities, vaccine dose, and race had negligible effects. Our models can generate a new seroconversion score that is corrected for the impact of these factors which can facilitate future biomarker identification.

【 授权许可】

Unknown