Literature DB >> 16761329

Pharmacodynamics of PEG-IFN alpha differentiate HIV/HCV coinfected sustained virological responders from nonresponders.

Andrew H Talal1, Ruy M Ribeiro, Kimberly A Powers, Michael Grace, Constance Cullen, Musaddeq Hussain, Marianthi Markatou, Alan S Perelson.   

Abstract

Pegylated interferon (PEG-IFN) has become standard therapy for hepatitis C virus (HCV) infection. We evaluated whether PEG-IFN pharmacodynamics and pharmacokinetics account for differences in treatment outcome and whether these parameters might be predictors of therapeutic outcome. Twenty-four IFN-naïve, HCV/human immunodeficiency virus-coinfected patients received PEG-IFN alpha-2b (1.5 microg/kg) once weekly plus daily ribavirin (1000 or 1200 mg) for up to 48 weeks. HCV RNA and PEG-IFN alpha concentrations were obtained from samples collected frequently after the first 3 PEG-IFN doses. We modeled HCV kinetics incorporating pharmacokinetic and pharmacodynamic parameters. Although PEG-IFN concentrations and pharmacokinetic parameters were similar in sustained virological responders (SVRs) and nonresponders (NRs), the PEG-IFN alpha-2b concentration that decreases HCV production by 50% (EC50) was lower in SVRs compared with NRs (0.04 vs. 0.45 microg/L [P = .014]). Additionally, the median therapeutic quotient (i.e., the ratio between average PEG-IFN concentration and EC50 [C/EC50]), and the PEG-IFN concentration at day 7 divided by EC50 (C(7)/EC50) were significantly increased in SVRs compared with NRs after the first (10.1 vs. 1.0 [P = .012], 2.8 vs. 0.3 [P = .007], respectively) and second (14.0 vs. 1.1 [P = .016], 5.4 vs. 0.4 [P = .02], respectively) PEG-IFN doses. All 3 parameters may be used to identify NRs. In conclusion, PEG-IFN concentrations and pharmacokinetic parameters do not differ between SVRs and NRs. In contrast, pharmacodynamic measurements-namely EC50, the therapeutic quotient, and C(7)/EC50--are different in coinfected SVRs and NRs. These parameters might be useful predictors of treatment outcome during the first month of therapy.

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Year:  2006        PMID: 16761329     DOI: 10.1002/hep.21136

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


  38 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.  A pharmacokinetic/viral kinetic model to evaluate treatment of chronic HCV infection with a non-nucleoside polymerase inhibitor.

Authors:  Laetitia Canini; Annabelle Lemenuel-Diot; Barbara J Brennan; Patrick F Smith; Alan S Perelson
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3.  Drug effectiveness explained: the mathematics of antiviral agents for HIV.

Authors:  Alan S Perelson; Steven G Deeks
Journal:  Sci Transl Med       Date:  2011-07-13       Impact factor: 17.956

4.  Using pharmacokinetic and viral kinetic modeling to estimate the antiviral effectiveness of telaprevir, boceprevir, and pegylated interferon during triple therapy in treatment-experienced hepatitis C virus-infected cirrhotic patients.

Authors:  Cédric Laouénan; Patrick Marcellin; Martine Lapalus; Feryel Khelifa-Mouri; Nathalie Boyer; Fabien Zoulim; Lawrence Serfaty; Jean-Pierre Bronowicki; Michelle Martinot-Peignoux; Olivier Lada; Tarik Asselah; Céline Dorival; Christophe Hézode; Fabrice Carrat; Florence Nicot; Gilles Peytavin; France Mentré; Jeremie Guedj
Journal:  Antimicrob Agents Chemother       Date:  2014-06-30       Impact factor: 5.191

5.  Understanding silibinin's modes of action against HCV using viral kinetic modeling.

Authors:  Jeremie Guedj; Harel Dahari; Ralf T Pohl; Peter Ferenci; Alan S Perelson
Journal:  J Hepatol       Date:  2012-01-13       Impact factor: 25.083

6.  Hepatitis C Viral Kinetics in Special Populations.

Authors:  Harel Dahari; Jennifer E Layden-Almer; Alan S Perelson; Thomas J Layden
Journal:  Curr Hepat Rep       Date:  2008

7.  Modelling hepatitis C virus kinetics during treatment with pegylated interferon alpha-2b: errors in the estimation of viral kinetic parameters.

Authors:  E Shudo; R M Ribeiro; A S Perelson
Journal:  J Viral Hepat       Date:  2008-05       Impact factor: 3.728

8.  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

9.  Understanding triphasic HCV decline during treatment in the era of IL28B polymorphisms and direct acting antiviral agents via mathematical modeling.

Authors:  Harel Dahari; Scott J Cotler; Thomas J Layden; Alan S Perelson
Journal:  J Hepatol       Date:  2012-12-13       Impact factor: 25.083

Review 10.  Viral kinetic modeling: state of the art.

Authors:  Laetitia Canini; Alan S Perelson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-06-25       Impact factor: 2.745

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