4.7 Article

Combination Antiviral Therapy for Influenza: Predictions From Modeling of Human Infections

Journal

JOURNAL OF INFECTIOUS DISEASES
Volume 205, Issue 11, Pages 1642-1645

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/infdis/jis265

Keywords

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Funding

  1. US Department of Energy [DE-AC52-06NA25396]
  2. National Institutes of Health [P30-EB011339, HHSN272201000055C, OD011095]
  3. Los Alamos National Laboratory LDRD
  4. National Science Foundation [DMS-1122290, PHY05-51164]
  5. GSK
  6. Roche
  7. Direct For Mathematical & Physical Scien
  8. Division Of Mathematical Sciences [1122290] Funding Source: National Science Foundation

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Emergence of resistance is a major concern in influenza antiviral treatment and prophylaxis. Combination antiviral therapy might overcome this problem. Here, we estimate that all possible single mutants and a sizeable fraction of double mutants are generated during an uncomplicated influenza infection. While most of them may sustain a fitness cost, some variants may confer drug resistance and be selected during therapy. We argue that a triple combination regimen would markedly reduce the risk of antiviral resistance emergence in seasonal and pandemic influenza viruses, especially in seriously ill or immunocompromised hosts.

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