Hemagglutination inhibition antibody titers mediate influenza vaccine efficacy against symptomatic influenza A(H1N1), A(H3N2), and B/Victoria infections.

Influenza correlates of protection hemagglutination inhibition vaccination vaccine

Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
07 Mar 2024
Historique:
received: 18 07 2023
revised: 24 02 2024
accepted: 05 03 2024
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 7 3 2024
Statut: aheadofprint

Résumé

The hemagglutination inhibition antibody (HAI) titer mediates only a part of vaccine-induced protection against influenza virus infections. Using causal mediation analysis, we quantified the proportion of vaccine efficacy mediated by post-vaccination HAI titers. Causal mediation analyses were conducted using data collected for a randomized, active-comparator controlled, phase 3 trial of a candidate inactivated, split-virion seasonal quadrivalent influenza vaccine (QIV) in children aged 3 to 8 years conducted from October 2010 to December 2011 in eight countries. Vaccine efficacy was estimated with a weighted Cox proportional hazards regression model. Estimates were decomposed into the direct and indirect effects mediated by post-vaccination HAI titers. The proportions of vaccine efficacy mediated by post-vaccination HAI titers were estimated to be 22% (95% CI: 18%, 47%) for influenza A(H1N1), 20% (95% CI: 16%, 39%) for influenza A(H3N2), and 37% (95% CI: 26%, 85%) for influenza B/Victoria. HAI titers partially mediate influenza vaccine efficacy against influenza A(H1N1), A(H3N2), and B/Victoria. Our estimates were lower than previous studies, possibly reflecting expected heterogeneity in antigenic similarity between vaccine and circulating viruses across seasons. Data from more influenza seasons are needed to understand better the mediating effects of HAI titers on vaccine efficacy.

Sections du résumé

BACKGROUND BACKGROUND
The hemagglutination inhibition antibody (HAI) titer mediates only a part of vaccine-induced protection against influenza virus infections. Using causal mediation analysis, we quantified the proportion of vaccine efficacy mediated by post-vaccination HAI titers.
METHODS METHODS
Causal mediation analyses were conducted using data collected for a randomized, active-comparator controlled, phase 3 trial of a candidate inactivated, split-virion seasonal quadrivalent influenza vaccine (QIV) in children aged 3 to 8 years conducted from October 2010 to December 2011 in eight countries. Vaccine efficacy was estimated with a weighted Cox proportional hazards regression model. Estimates were decomposed into the direct and indirect effects mediated by post-vaccination HAI titers.
RESULTS RESULTS
The proportions of vaccine efficacy mediated by post-vaccination HAI titers were estimated to be 22% (95% CI: 18%, 47%) for influenza A(H1N1), 20% (95% CI: 16%, 39%) for influenza A(H3N2), and 37% (95% CI: 26%, 85%) for influenza B/Victoria.
CONCLUSIONS CONCLUSIONS
HAI titers partially mediate influenza vaccine efficacy against influenza A(H1N1), A(H3N2), and B/Victoria. Our estimates were lower than previous studies, possibly reflecting expected heterogeneity in antigenic similarity between vaccine and circulating viruses across seasons. Data from more influenza seasons are needed to understand better the mediating effects of HAI titers on vaccine efficacy.

Identifiants

pubmed: 38452179
pii: 7624034
doi: 10.1093/infdis/jiae122
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Wey Wen Lim (WW)

WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong SAR, China.

Feng Shuo (F)

Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.

Sook-San Wong (SS)

WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Sheena G Sullivan (SG)

WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, and Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Department of Epidemiology, University of California, Los Angeles, USA.

Benjamin J Cowling (BJ)

WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong SAR, China.

Classifications MeSH