کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5551847 1557808 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling Ebola virus dynamics: Implications for therapy
ترجمه فارسی عنوان
مدلسازی شیوع ویروس ابولا: پیامدهای درمان
کلمات کلیدی
عفونت ویروس ابولا، دینامیک ویروس، مدل ریاضی، درمان تجربی،
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ویروس شناسی
چکیده انگلیسی


- A novel mathematical model for Ebola virus infection is proposed.
- The higher viral load in non-survivors is maintained by a massive infection.
- Blocking 80.5% of the initial Ebola virus expansion is enough to prevent EVD.
- Drugs with different mechanisms of action have different curative effect.
- Nucleoside analogue- and siRNA-based therapies are effective.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Antiviral Research - Volume 135, November 2016, Pages 62-73
نویسندگان
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