Selected article for: "bioinformatic analysis and host virus"

Author: Honarmand Ebrahimi, Kourosh
Title: SARS‐CoV‐2 spike glycoprotein‐binding proteins expressed by upper respiratory tract bacteria may prevent severe viral infection
  • Cord-id: er4ee9ui
  • Document date: 2020_6_8
  • ID: er4ee9ui
    Snippet: Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has become a major global challenge. The virus infects host cells using its spike glycoprotein (S‐protein) and has significantly higher infectivity and mortality rates among the aged population. Here, based on bioinformatic analysis, I provide evidence that some members of the upper respiratory tract (URT) commensal bacteria express viral S‐protein ‐binding proteins. Based on this analysis and available data showing a decline
    Document: Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has become a major global challenge. The virus infects host cells using its spike glycoprotein (S‐protein) and has significantly higher infectivity and mortality rates among the aged population. Here, based on bioinformatic analysis, I provide evidence that some members of the upper respiratory tract (URT) commensal bacteria express viral S‐protein ‐binding proteins. Based on this analysis and available data showing a decline in the population of these bacteria in the elderly, I propose that some URT commensal bacteria hamper SARS‐CoV‐2 infectivity and that a decline in the population of these bacteria contributes to the severity of infection. Further studies should provide a better understanding of the interaction of URT bacteria and SARS‐CoV‐2, which may lead to new therapeutic approaches.

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