AI Article Synopsis

  • The study investigates how seasonal influenza viruses, specifically H3N2, evolve and evade immunity due to genetic mutations called effective mutations (EMs).
  • A new statistical and computational method was developed to analyze the dynamics of these mutations and their impact on population immunity over time, known as effective mutation periods (EMPs).
  • The research identified 46 key mutations in the influenza virus's hemagglutinin gene, which could help improve vaccine design, showing that these major variants last longer in Southeast Asia compared to temperate regions.

Article Abstract

The annual epidemics of seasonal influenza is partly attributed to the continued virus evolution. It is challenging to evaluate the effect of influenza virus mutations on evading population immunity. In this study, we introduce a novel statistical and computational approach to measure the dynamic molecular determinants underlying epidemics using effective mutations (EMs), and account for the time of waning mutation advantage against herd immunity by measuring the effective mutation periods (EMPs). Extensive analysis is performed on the sequencing and epidemiology data of H3N2 epidemics in ten regions from season to season. We systematically identified 46 EMs in the hemagglutinin (HA) gene, in which the majority were antigenic sites. Eight EMs were located in immunosubdominant stalk domain, an important target for developing broadly reactive antibodies. The EMs might provide timely information on key substitutions for influenza vaccines antigen design. The EMP suggested that major genetic variants of H3N2 circulated in Southeast Asia for an average duration of 4.5 years (SD 2.4) compared to a significantly shorter 2.0 years (SD 1.0) in temperate regions. The proposed method bridges population epidemics and molecular characteristics of infectious diseases, and would find broad applications in various pathogens mutation estimations.

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Source
http://dx.doi.org/10.1016/j.jinf.2021.09.026DOI Listing

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