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Antigenic drift and subtype interference shape A(H3N2) epidemic dynamics in the United States.
- Source :
-
ELife [Elife] 2024 Sep 25; Vol. 13. Date of Electronic Publication: 2024 Sep 25. - Publication Year :
- 2024
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Abstract
- Influenza viruses continually evolve new antigenic variants, through mutations in epitopes of their major surface proteins, hemagglutinin (HA) and neuraminidase (NA). Antigenic drift potentiates the reinfection of previously infected individuals, but the contribution of this process to variability in annual epidemics is not well understood. Here, we link influenza A(H3N2) virus evolution to regional epidemic dynamics in the United States during 1997-2019. We integrate phenotypic measures of HA antigenic drift and sequence-based measures of HA and NA fitness to infer antigenic and genetic distances between viruses circulating in successive seasons. We estimate the magnitude, severity, timing, transmission rate, age-specific patterns, and subtype dominance of each regional outbreak and find that genetic distance based on broad sets of epitope sites is the strongest evolutionary predictor of A(H3N2) virus epidemiology. Increased HA and NA epitope distance between seasons correlates with larger, more intense epidemics, higher transmission, greater A(H3N2) subtype dominance, and a greater proportion of cases in adults relative to children, consistent with increased population susceptibility. Based on random forest models, A(H1N1) incidence impacts A(H3N2) epidemics to a greater extent than viral evolution, suggesting that subtype interference is a major driver of influenza A virus infection ynamics, presumably via heterosubtypic cross-immunity.<br />Competing Interests: AP, JH, JB, TR, XX, RK, DW, NL, LW, BE, RH, MG, RD, SF, KN, NK, SW, HH, TB No competing interests declared, CH Received personal fees from Sanofi outside the submitted work, JM Received consulting fees, honoraria, and travel support from Sanofi Pasteur and Sequris, SS The WHO Collaborating Centre for Reference and Research on Influenza in Melbourne has a collaborative research and development agreement (CRADA) with CSL Seqirus for isolation of candidate vaccine viruses in cells and an agreement with IFPMA for isolation of candidate vaccine viruses in eggs. SGS reports honoraria from CSL Seqirus, Moderna, Pfizer, and Evo Health, IB, KS The WHO Collaborating Centre for Reference and Research on Influenza in Melbourne has a collaborative research and development agreement (CRADA) with CSL Seqirus for isolation of candidate vaccine viruses in cells and an agreement with IFPMA for isolation of candidate vaccine viruses in eggs, FK The Icahn School of Medicine at Mount Sinai has filed patent applications relating to influenza virus vaccines (U.S. patent numbers: 12030928, 11865173, 11266734, 11254733, 10736956, 10583188, 10137189, 10131695, 9968670, 9371366; publication numbers: 20230181715, 20220403358, 20220249652, 20220242935, 20220153873, 20210260179, 20190125859, 20190106461, 20180333479), SARS-CoV-2 serological assays (publication number: 20240210415), and SARS-CoV-2 vaccines (publication numbers: 20230310583, 20230226171), which list FK as co-inventor. FK has consulted for Merck and Pfizer (before 2020), and is currently consulting for Pfizer, Seqirus, 3rd Rock Ventures, GSK and Avimex. The Krammer laboratory is also collaborating with Pfizer on animal models of SARS‐CoV‐2 and with Dynavax on universal influenza virus vaccines, CV Received honoraria for serving as an Editor in Chief of the journal Epidemics (Elsevier)
- Subjects :
- United States epidemiology
Humans
Child
Adult
Neuraminidase genetics
Neuraminidase immunology
Adolescent
Child, Preschool
Antigens, Viral immunology
Antigens, Viral genetics
Young Adult
Evolution, Molecular
Seasons
Middle Aged
Influenza A Virus, H3N2 Subtype genetics
Influenza A Virus, H3N2 Subtype immunology
Influenza, Human epidemiology
Influenza, Human virology
Influenza, Human immunology
Hemagglutinin Glycoproteins, Influenza Virus genetics
Hemagglutinin Glycoproteins, Influenza Virus immunology
Epidemics
Antigenic Drift and Shift genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2050-084X
- Volume :
- 13
- Database :
- MEDLINE
- Journal :
- ELife
- Publication Type :
- Academic Journal
- Accession number :
- 39319780
- Full Text :
- https://doi.org/10.7554/eLife.91849