4.7 Article

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

期刊

JOURNAL OF INFECTIOUS DISEASES
卷 205, 期 11, 页码 1642-1645

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/infdis/jis265

关键词

-

资金

  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

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据