Literature DB >> 16611264

Review article: predicting response in hepatitis C virus therapy.

U Mihm1, E Herrmann, C Sarrazin, S Zeuzem.   

Abstract

The introduction of combination therapy with ribavirin and of pegylated interferons has improved treatment results in patients with chronic hepatitis C. However, overall rates of sustained virologic response following antiviral therapy of chronic hepatitis C still do not exceed 54-63%. Because of several virus- and patient-related factors, treatment is even less successful in some patient subpopulations. The major viral factors associated with impaired response are hepatitis C virus genotype 1 infection and a high viral load. Among patient-related factors cirrhosis is of special importance. Baseline predictive factors for sustained virologic response become less important for prediction of treatment outcome when quantifications of hepatitis C virus RNA during early therapy are taken into account. This article provides a summary of virus- and patient-related parameters, which are prognostic for response to antiviral therapy in chronic hepatitis C and focuses on the prediction of treatment response by quantification of hepatitis C virus RNA concentration during therapy.

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Year:  2006        PMID: 16611264     DOI: 10.1111/j.1365-2036.2006.02863.x

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   8.171


  18 in total

Review 1.  A perspective on modelling hepatitis C virus infection.

Authors:  J Guedj; L Rong; H Dahari; A S Perelson
Journal:  J Viral Hepat       Date:  2010-08-15       Impact factor: 3.728

2.  Differences in the factors associated with serum viral load between genotypes 1 and 2 in patients with chronic hepatitis C.

Authors:  Shunsuke Sato; Takuya Genda; Katsuharu Hirano; Hironori Tsuzura; Yoshio Kanemitsu; Yutaka Narita; Tetsu Kikuchi; Katsuyori Ijima; Takafumi Ichida
Journal:  Hepatol Int       Date:  2011-04-02       Impact factor: 6.047

Review 3.  Treatment of hepatitis C virus infection with interferon and small molecule direct antivirals: viral kinetics and modeling.

Authors:  Libin Rong; Alan S Perelson
Journal:  Crit Rev Immunol       Date:  2010       Impact factor: 2.214

Review 4.  Modelling hepatitis C therapy--predicting effects of treatment.

Authors:  Alan S Perelson; Jeremie Guedj
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2015-06-30       Impact factor: 46.802

5.  Impact of hepatitis C treatment initiation on adherence to concomitant medications.

Authors:  Maria Pizzirusso; Jenny Lin; Cory Head; Sue M Marcus; Samia Ahmed; Norbert Bräu; Jeffrey J Weiss
Journal:  J Assoc Nurses AIDS Care       Date:  2013-09-24       Impact factor: 1.354

6.  Second-phase hepatitis C virus RNA decline during telaprevir-based therapy increases with drug effectiveness: implications for treatment duration.

Authors:  Jeremie Guedj; Alan S Perelson
Journal:  Hepatology       Date:  2011-05-02       Impact factor: 17.425

7.  Understanding early serum hepatitis D virus and hepatitis B surface antigen kinetics during pegylated interferon-alpha therapy via mathematical modeling.

Authors:  Jeremie Guedj; Yaron Rotman; Scott J Cotler; Christopher Koh; Peter Schmid; Jeff Albrecht; Vanessa Haynes-Williams; T Jake Liang; Jay H Hoofnagle; Theo Heller; Harel Dahari
Journal:  Hepatology       Date:  2014-10-27       Impact factor: 17.425

8.  High diversity of hepatitis C viral quasispecies is associated with early virological response in patients undergoing antiviral therapy.

Authors:  Xiaofeng Fan; Qing Mao; Donghui Zhou; Yang Lu; Jianwei Xing; Yanjuan Xu; Stuart C Ray; Adrian M Di Bisceglie
Journal:  Hepatology       Date:  2009-12       Impact factor: 17.425

9.  A mathematical model of hepatitis C virus dynamics in patients with high baseline viral loads or advanced liver disease.

Authors:  Harel Dahari; Jennifer E Layden-Almer; Eric Kallwitz; Ruy M Ribeiro; Scott J Cotler; Thomas J Layden; Alan S Perelson
Journal:  Gastroenterology       Date:  2009-01-01       Impact factor: 22.682

10.  Pretreatment sequence diversity differences in the full-length hepatitis C virus open reading frame correlate with early response to therapy.

Authors:  Maureen J Donlin; Nathan A Cannon; Ermei Yao; Jia Li; Abdus Wahed; Milton W Taylor; Steven H Belle; Adrian M Di Bisceglie; Rajeev Aurora; John E Tavis
Journal:  J Virol       Date:  2007-05-23       Impact factor: 5.103

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