NDLI: Modelling differential interferon resistance of HCV quasispecies

Content Provider	IEEE Xplore Digital Library
Author	Skums, P. Campo, D.S. Dimitrova, Z. Vaughan, G. Lau, D.T. Khudyakov, Y.
Copyright Year	2011
Description	Author affiliation: Division of Viral Hepatitis, Centers of Disease Control and Prevention, Atlanta, GA, USA (Skums, P.; Campo, D.S.; Dimitrova, Z.; Vaughan, G.; Khudyakov, Y.) \|\| Translational Liver Research, Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA (Lau, D.T.)
Abstract	Hepatitis C virus (HCV) is a major cause of liver disease worldwide. Current interferon and ribavirin (IFN/RBV) therapy is effective in 50%–60% of patients. HCV exists in infected patients as a large viral population of intra-host variants (quasispecies), which form a certain topological structure (sequence space) and may be differentially resistant to interferon treatment. We present a method for measuring differential interferon resistance of HCV quasispecies based on mathematical modeling and analysis of HCV population dynamics during the first hours of interferon therapy. The mathematical models showed that individual intra-host HCV variants have a wide range of resistance to IFN treatment in each patient. Analysis of differential IFN resistance among intra-host HCV variants allows to accurately predict outcome of IFN therapy. The models strongly suggest that resistance to interferon may vary broadly among closely related variants in infected hosts and therapy outcome may be defined by a single or a few variants irrespective of their frequency in the intra-host HCV population before treatment.
Starting Page	144
Ending Page	148
File Size	766638
Page Count	5
File Format	PDF
ISBN	9781457716126
e-ISBN	9781457716133
DOI	10.1109/BIBMW.2011.6112367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	interferon resistance RNA Medical treatment Predictive models Quasispecies HCV Mathematical model Bioinformatics Equations Immune system
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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