Literature DB >> 19208338

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

Harel Dahari1, Jennifer E Layden-Almer, Eric Kallwitz, Ruy M Ribeiro, Scott J Cotler, Thomas J Layden, Alan S Perelson.   

Abstract

BACKGROUND & AIMS: Patients with baseline hepatitis C virus-RNA levels (bHCV-RNA)>6 log IU/mL or cirrhosis have a reduced probability of a sustained-virologic response (SVR). We examined the relation between bHCV-RNA, cirrhosis, and SVR with a mathematical model that includes the critical-drug efficacy (epsilonc; the efficacy required for a drug to clear HCV), the infection-rate constant (beta), and the percentage of HCV-infected hepatocytes (pi).
METHODS: The relation between baseline factors and SVR was evaluated in 1000 in silico HCV-infected patients, generated by random assignment of realistic host and viral kinetic parameters. Model predictions were compared with clinical data from 170 noncirrhotic and 75 cirrhotic patients.
RESULTS: The ranges chosen for beta and the viral production rate (p) resulted in bHCV-RNA levels that were in agreement with the distribution observed in US patients. With these beta and p values, higher bHCV-RNA levels led to higher epsilonc, resulting in lower SVR rates. However, higher beta values resulted in lower bHCV-RNA levels but higher pi and (epsilonc), predicting lower rates of SVR. Cirrhotic patients had lower bHCV-RNA levels than noncirrhotic patients (P=.013), and more had bHCV-RNA levels<6 log IU/mL (P<.001). Even cirrhotic patients with lower bHCV-RNA levels had lower SVR rates. An increase in beta could explain the results observed in cirrhotic patients.
CONCLUSIONS: Our model predicts that higher bHCV-RNA levels lead to higher epsilonc, reducing the chance of achieving SVR; cirrhotic patients have lower SVR rates because of large pi values, caused by increased rates of hepatocyte infection.

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Year:  2009        PMID: 19208338      PMCID: PMC2883911          DOI: 10.1053/j.gastro.2008.12.060

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  42 in total

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Authors:  Martin Lagging; Ana I Romero; Johan Westin; Gunnar Norkrans; Amar P Dhillon; Jean-Michel Pawlotsky; Stefan Zeuzem; Michael von Wagner; Francesco Negro; Solko W Schalm; Bart L Haagmans; Carlo Ferrari; Gabriele Missale; Avidan U Neumann; Elke Verheij-Hart; Kristoffer Hellstrand
Journal:  Hepatology       Date:  2006-12       Impact factor: 17.425

2.  Effect of ribavirin in genotype 1 patients with hepatitis C responding to pegylated interferon alfa-2a plus ribavirin.

Authors:  Jean-Pierre Bronowicki; Denis Ouzan; Tarik Asselah; Hervé Desmorat; Jean-Pierre Zarski; Juliette Foucher; Marc Bourlière; Christophe Renou; Albert Tran; Pascal Melin; Christophe Hézode; Michelle Chevalier; Magali Bouvier-Alias; Stéphane Chevaliez; François Montestruc; Isabelle Lonjon-Domanec; Jean-Michel Pawlotsky
Journal:  Gastroenterology       Date:  2006-07-24       Impact factor: 22.682

3.  Hepatitis C virus genotypes and viral concentrations in participants of a general population survey in the United States.

Authors:  Omana V Nainan; Miriam J Alter; Deanna Kruszon-Moran; Feng-Xiang Gao; Guoliang Xia; Geraldine McQuillan; Harold S Margolis
Journal:  Gastroenterology       Date:  2006-08       Impact factor: 22.682

4.  Peginterferon and ribavirin treatment in African American and Caucasian American patients with hepatitis C genotype 1.

Authors:  Hari S Conjeevaram; Michael W Fried; Lennox J Jeffers; Norah A Terrault; Thelma E Wiley-Lucas; Nezam Afdhal; Robert S Brown; Steven H Belle; Jay H Hoofnagle; David E Kleiner; Charles D Howell
Journal:  Gastroenterology       Date:  2006-08       Impact factor: 22.682

5.  Mathematical modeling of primary hepatitis C infection: noncytolytic clearance and early blockage of virion production.

Authors:  Harel Dahari; Marian Major; Xinan Zhang; Kathleen Mihalik; Charles M Rice; Alan S Perelson; Stephen M Feinstone; Avidan U Neumann
Journal:  Gastroenterology       Date:  2005-04       Impact factor: 22.682

6.  Modelling how ribavirin improves interferon response rates in hepatitis C virus infection.

Authors:  Narendra M Dixit; Jennifer E Layden-Almer; Thomas J Layden; Alan S Perelson
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

7.  Impact of disease severity on outcome of antiviral therapy for chronic hepatitis C: Lessons from the HALT-C trial.

Authors:  Gregory T Everson; John C Hoefs; Leonard B Seeff; Herbert L Bonkovsky; Deepa Naishadham; Mitchell L Shiffman; Jeffrey A Kahn; Anna S F Lok; Adrian M Di Bisceglie; William M Lee; Jules L Dienstag; Marc G Ghany; Chihiro Morishima
Journal:  Hepatology       Date:  2006-12       Impact factor: 17.425

8.  Percentage of hepatitis C virus-infected hepatocytes is a better predictor of response than serum viremia levels.

Authors:  Elena Rodríguez-Iñigo; Juan Manuel López-Alcorocho; Javier Bartolomé; Nuria Ortiz-Movilla; Margarita Pardo; Vicente Carreño
Journal:  J Mol Diagn       Date:  2005-10       Impact factor: 5.568

Review 9.  Review article: predicting response in hepatitis C virus therapy.

Authors:  U Mihm; E Herrmann; C Sarrazin; S Zeuzem
Journal:  Aliment Pharmacol Ther       Date:  2006-04-15       Impact factor: 8.171

10.  Intrahepatic hepatitis C virus replication correlates with chronic hepatitis C disease severity in vivo.

Authors:  Sampa Pal; Margaret C Shuhart; Lisa Thomassen; Scott S Emerson; Tao Su; Nathan Feuerborn; John Kae; David R Gretch
Journal:  J Virol       Date:  2006-03       Impact factor: 5.103

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  23 in total

1.  Meta-analysis of hepatitis C virus vaccine efficacy in chimpanzees indicates an importance for structural proteins.

Authors:  Harel Dahari; Stephen M Feinstone; Marian E Major
Journal:  Gastroenterology       Date:  2010-06-02       Impact factor: 22.682

Review 2.  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

3.  Hepatitis C Viral Kinetics in the Era of Direct Acting Antiviral Agents and IL28B.

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Journal:  Curr Hepat Rep       Date:  2011-07-02

4.  On the laws of virus spread through cell populations.

Authors:  Dominik Wodarz; Chi N Chan; Benjamin Trinité; Natalia L Komarova; David N Levy
Journal:  J Virol       Date:  2014-09-03       Impact factor: 5.103

Review 5.  A multifaceted approach to modeling the immune response in tuberculosis.

Authors:  Simeone Marino; Jennifer J Linderman; Denise E Kirschner
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

6.  Pharmacodynamics of PEG-IFN-alpha-2a in HIV/HCV co-infected patients: implications for treatment outcomes.

Authors:  Harel Dahari; Evaldo S Affonso de Araujo; Bart L Haagmans; Thomas J Layden; Scott J Cotler; Antonio A Barone; Avidan U Neumann
Journal:  J Hepatol       Date:  2010-05-27       Impact factor: 25.083

7.  Sloppy models, parameter uncertainty, and the role of experimental design.

Authors:  Joshua F Apgar; David K Witmer; Forest M White; Bruce Tidor
Journal:  Mol Biosyst       Date:  2010-06-17

8.  Numerical schemes for solving and optimizing multiscale models with age of hepatitis C virus dynamics.

Authors:  Vladimir Reinharz; Harel Dahari; Danny Barash
Journal:  Math Biosci       Date:  2018-03-15       Impact factor: 2.144

9.  Severity of liver disease affects HCV kinetics in patients treated with intravenous silibinin monotherapy.

Authors:  Laetitia Canini; Swati DebRoy; Zoe Mariño; Jessica M Conway; Gonzalo Crespo; Miquel Navasa; Massimo D'Amato; Peter Ferenci; Scott J Cotler; Xavier Forns; Alan S Perelson; Harel Dahari
Journal:  Antivir Ther       Date:  2014-06-10

10.  The evolutionary dynamics of a rapidly mutating virus within and between hosts: the case of hepatitis C virus.

Authors:  Fabio Luciani; Samuel Alizon
Journal:  PLoS Comput Biol       Date:  2009-11-13       Impact factor: 4.475

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