Investigating Different Mechanisms of Action in Combination Therapy for Influenza

被引:22
作者
Melville, Kelli [1 ]
Rodriguez, Thalia [2 ]
Dobrovolny, Hana M. [2 ]
机构
[1] East Carolina Univ, Phys Dept, Greenville, NC 27858 USA
[2] Texas Christian Univ, Dept Phys & Astron, Ft Worth, TX 76129 USA
基金
美国国家科学基金会;
关键词
influenza; antiviral; mathematical modeling; combination therapy; mechanism of action; A H1N1 VIRUS; IN-VITRO; NEURAMINIDASE INHIBITORS; PANDEMIC INFLUENZA; CELL-CULTURE; INFECTED-CELLS; ANTIVIRAL THERAPY; UNITED-STATES; ECLIPSE PHASE; MDCK CELLS;
D O I
10.3389/fphar.2018.01207
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Combination therapy for influenza can have several benefits, from reducing the emergence of drug resistant virus strains to decreasing the cost of antivirals. However, there are currently only two classes of antivirals approved for use against influenza, limiting the possible combinations that can be considered for treatment. However, new antivirals are being developed that target different parts of the viral replication cycle, and their potential for use in combination therapy should be considered. The role of antiviral mechanism of action in the effectiveness of combination therapy has not yet been systematically investigated to determine whether certain antiviral mechanisms of action pair well in combination. Here, we use a mathematical model of influenza to model combination treatment with antivirals having different mechanisms of action to measure peak viral load, infection duration, and synergy of different drug combinations. We find that antivirals that lower the infection rate and antivirals that increase the duration of the eclipse phase perform poorly in combination with other antivirals.
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页数:13
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