5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Modelling Ebola virus dynamics: Implications for therapy.

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Ebola virus (EBOV) causes a severe, often fatal Ebola virus disease (EVD), for which no approved antivirals exist. Recently, some promising anti-EBOV drugs, which are experimentally potent in animal models, have been developed. However, because the quantitative dynamics of EBOV replication in humans is uncertain, it remains unclear how much antiviral suppression of viral replication affects EVD outcome in patients. Here, we developed a novel mathematical model to quantitatively analyse human viral load data obtained during the 2000/01 Uganda EBOV outbreak and evaluated the effects of different antivirals. We found that nucleoside analogue- and siRNA-based therapies are effective if a therapy with a >50% inhibition rate is initiated within a few days post-symptom-onset. In contrast, antibody-based therapy requires not only a higher inhibition rate but also an earlier administration, especially for otherwise fatal cases. Our results demonstrate that an appropriate choice of EBOV-specific drugs is required for effective EVD treatment.

          Related collections

          Author and article information

          Journal
          Antiviral Res.
          Antiviral research
          Elsevier BV
          1872-9096
          0166-3542
          Nov 2016
          : 135
          Affiliations
          [1 ] Centre for Vascular Research, University of New South Wales, Sydney, New South Wales, 2052, Australia.
          [2 ] Institute of Industrial Sciences, The University of Tokyo, Tokyo, 1538505, Japan.
          [3 ] Laboratory of Viral Pathogenesis, Institute for Virus Research, Kyoto University, Kyoto, Kyoto, 6068507, Japan; CREST, JST, Kawaguchi, Saitama, 3320012, Japan.
          [4 ] Laboratory of Ultrastructural Virology, Institute for Virus Research, Kyoto University, Kyoto, 6068507, Japan; CREST, JST, Kawaguchi, Saitama, 3320012, Japan; PRESTO, JST, Kawaguchi, Saitama, 3320012, Japan. Electronic address: t-noda@virus.kyoto-u.ac.jp.
          [5 ] Mathematical Biology Laboratory, Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, 8128581, Japan; PRESTO, JST, Kawaguchi, Saitama, 3320012, Japan; CREST, JST, Kawaguchi, Saitama, 3320012, Japan. Electronic address: siwami@kyushu-u.org.
          Article
          S0166-3542(16)30347-3
          10.1016/j.antiviral.2016.10.004
          27743917
          0222ecbb-55d1-40f5-a7a3-b24e10b3d583
          History

          Ebola virus infection,Experimental treatment,Mathematical model,Virus dynamics

          Comments

          Comment on this article