Literature DB >> 26603954

Quantifying the risk of pandemic influenza virus evolution by mutation and re-assortment.

Leslie A Reperant1, Bryan T Grenfell2, Albert D M E Osterhaus3.   

Abstract

Large outbreaks of zoonotic influenza A virus (IAV) infections may presage an influenza pandemic. However, the likelihood that an airborne-transmissible variant evolves upon zoonotic infection or co-infection with zoonotic and seasonal IAVs remains poorly understood, as does the relative importance of accumulating mutations versus re-assortment in this process. Using discrete-time probabilistic models, we determined quantitative probability ranges that transmissible variants with 1-5 mutations and transmissible re-assortants evolve after a given number of zoonotic IAV infections. The systematic exploration of a large population of model parameter values was designed to account for uncertainty and variability in influenza virus infection, epidemiological and evolutionary processes. The models suggested that immunocompromised individuals are at high risk of generating IAV variants with pandemic potential by accumulation of mutations. Yet, both immunocompetent and immunocompromised individuals could generate high viral loads of single and double mutants, which may facilitate their onward transmission and the subsequent accumulation of additional 1-2 mutations in newly-infected individuals. This may result in the evolution of a full transmissible genotype along short chains of contact transmission. Although co-infection with zoonotic and seasonal IAVs was shown to be a rare event, it consistently resulted in high viral loads of re-assortants, which may facilitate their onward transmission among humans. The prevention or limitation of zoonotic IAV infection in immunocompromised and contact individuals, including health care workers, as well as vaccination against seasonal IAVs-limiting the risk of co-infection-should be considered fundamental tools to thwart the evolution of a novel pandemic IAV by accumulation of mutations and re-assortment.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Evolution; Latin hypercube sampling; Mutation; Pandemic; Probabilistic model; Reassortment

Mesh:

Year:  2015        PMID: 26603954     DOI: 10.1016/j.vaccine.2015.10.056

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  9 in total

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7.  Identification and characterization of a silent mutation in RNA binding domain of N protein coding gene from SARS-CoV-2.

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Authors:  Le Nguyen Minh Hoa; Nguyen Anh Tuan; Pham Ha My; Tran Thi Kieu Huong; Nguyen Thi Yen Chi; Trang Thi Hau Thu; Juan Carrique-Mas; Mai Thuy Duong; Nguyen Dang Tho; Nguyen Dang Hoang; To Long Thanh; Nguyen Thi Diep; Nguyen van Duong; Tran Khanh Toan; Trinh Son Tung; Le Quynh Mai; Munir Iqbal; Heiman Wertheim; H Rogier van Doorn; Juliet E Bryant
Journal:  J Gen Virol       Date:  2017-08-04       Impact factor: 3.891

9.  Molecular and Conventional Analysis of Acute Diarrheal Isolates Identifies Epidemiological Trends, Antibiotic Resistance and Virulence Profiles of Common Enteropathogens in Shanghai.

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Journal:  Front Microbiol       Date:  2018-02-09       Impact factor: 5.640

  9 in total

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