Skip to main navigation Skip to search Skip to main content

Antiviral Approaches against Influenza Virus

  • Centers for Disease Control and Prevention
  • SUNY Buffalo
  • United States Department of Energy
  • Association of Public Health Laboratories

Research output: Contribution to journalReview articlepeer-review

131 Scopus citations

Abstract

Preventing and controlling influenza virus infection remains a global public health challenge, as it causes seasonal epidemics to unexpected pandemics. These infections are responsible for high morbidity, mortality, and substantial economic impact. Vaccines are the prophylaxis mainstay in the fight against influenza. However, vaccination fails to confer complete protection due to inadequate vaccination coverages, vaccine shortages, and mismatches with circulating strains. Antivirals represent an important prophylactic and therapeutic measure to reduce influenza-associated morbidity and mortality, particularly in high-risk populations. Here, we review current FDA-approved influenza antivirals with their mechanisms of action, and different viral- and host-directed influenza antiviral approaches, including immunomodulatory interventions in clinical development. Furthermore, we also illustrate the potential utility of machine learning in developing next-generation antivirals against influenza.

Original languageEnglish
Article numbere00040-22
JournalClinical Microbiology Reviews
Volume36
Issue number1
DOIs
StatePublished - Mar 2023

Keywords

  • antiviral agents
  • drug resistance mechanisms
  • influenza
  • machine learning
  • monoclonal antibodies

Fingerprint

Dive into the research topics of 'Antiviral Approaches against Influenza Virus'. Together they form a unique fingerprint.

Cite this