tetano
Editor, Senior Moderator
J Infect Dis. 2012 Mar 23. [Epub ahead of print]
Combination Antiviral Therapy for Influenza: Predictions from Modeling of Human Infections.
Perelson AS, Rong L, Hayden FG.
Source
Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545.
Abstract
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 many 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.
PMID:
22448006
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/22448006
Combination Antiviral Therapy for Influenza: Predictions from Modeling of Human Infections.
Perelson AS, Rong L, Hayden FG.
Source
Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545.
Abstract
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 many 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.
PMID:
22448006
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/22448006