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Characterization of key amino acid substitutions and dynamics of the influenza virus H3N2 hemagglutinin.
Wang, Maggie Haitian; Lou, Jingzhi; Cao, Lirong; Zhao, Shi; Chan, Renee Wy; Chan, Paul Ks; Chan, Martin Chi-Wai; Chong, Marc Kc; Wu, William Kk; Wei, Yuchen; Zhang, Haoyang; Zee, Benny Cy; Yeoh, Eng-Kiong.
Affiliation
  • Wang MH; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; CUHK Shenzhen Research Institute, Shenzhen, China. Electronic address: maggiew@cuhk.edu.hk.
  • Lou J; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Cao L; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Zhao S; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Chan RW; CUHK-UMCU Joint Research Laboratory of Respiratory Virus & Immunobiology, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; Department of Paediatrics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
  • Chan PK; Department of Microbiology, Stanley Ho Center for Emerging Infectious Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
  • Chan MC; Department of Microbiology, Stanley Ho Center for Emerging Infectious Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
  • Chong MK; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Wu WK; Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
  • Wei Y; Department of Microbiology, Stanley Ho Center for Emerging Infectious Diseases, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
  • Zhang H; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China.
  • Zee BC; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China; CUHK Shenzhen Research Institute, Shenzhen, China.
  • Yeoh EK; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China. Electronic address: yeoh_ek@cuhk.edu.hk.
J Infect ; 83(6): 671-677, 2021 12.
Article in En | MEDLINE | ID: mdl-34627840
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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Full text: 1 Database: MEDLINE Main subject: Influenza, Human / Influenza A Virus, H3N2 Subtype Type of study: Prognostic_studies Limits: Humans Language: En Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Main subject: Influenza, Human / Influenza A Virus, H3N2 Subtype Type of study: Prognostic_studies Limits: Humans Language: En Year: 2021 Type: Article