Literature DB >> 20831874

Understanding hepatitis C viral dynamics with direct-acting antiviral agents due to the interplay between intracellular replication and cellular infection dynamics.

J Guedj1, A U Neumann.   

Abstract

The current paradigm for modeling viral kinetics and resistance evolution after treatment initiation considers only the level of circulating virus and cellular infection (CI model), while the intra-cellular level is disregarded. This model was successfully used to explain HIV dynamics and Hepatitis C virus (HCV) dynamics during interferon-based therapy. However, in the new era of direct-acting antiviral agents (DAAs) against HCV, viral kinetics is characterized by a more rapid decline of the wild-type virus as well as an early emergence of resistant strains that jeopardize the treatment outcome. Although the CI model can be extended to describe these new kinetic patterns, this approach has qualitative and quantitative limitations. Instead, we suggest that a more appropriate approach would consider viral dynamics at the cell infection level, as done currently, as well as at the intracellular level. Indeed, whereas in HIV integrated DNA serves as a static replication unit and mutations occur only once per infected cell, HCV replication is deeply affected by DAAs and furthermore processes of resistance evolution can occur at the intra-cellular level with a faster time-scale. We propose a comprehensive model of HCV dynamics that considers both extracellular and intracellular levels of infection (ICCI model). Intracellular viral genomic units are used to form replication units, which in turn synthesize genomic units that are packaged and secreted as virions infecting more target cells. Resistance evolution is modeled intra-cellularly, by different genomic- and replication-unit strains with particular relative-fitness and drug sensitivity properties, allowing for a rapid resistance takeover. Using the ICCI model, we show that the rapid decline of wild-type virus results from the ability of DAAs to destabilize the intracellular replication. On the other hand, this ability also favors the rapid emergence, intracellularly, of resistant virus. By considering the interaction between intracellular and extracellular infection we show that resistant virus, able to maintain a high level of intracellular replication, may nevertheless be unable to maintain rapid enough de novo infection rate at the extracellular level. Hence this model predicts that in HCV, and contrary to our experience with HIV, the emergence of productively resistant virus may not systematically prevent from a viral decline in the long-term. Thus, the ICCI model can explain the transient viral rebounds observed with DAA treatment as well as the viral resistance found in most patients with viral relapse at the end of DAA combination therapy. Published by Elsevier Ltd.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20831874     DOI: 10.1016/j.jtbi.2010.08.036

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  32 in total

1.  Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment.

Authors:  Markus M Knodel; Paul Targett-Adams; Alfio Grillo; Eva Herrmann; Gabriel Wittum
Journal:  Int J Environ Res Public Health       Date:  2019-02-12       Impact factor: 3.390

2.  On fitness in metapopulations that are both size- and stage-structured.

Authors:  Kalle Parvinen; Anne Seppänen
Journal:  J Math Biol       Date:  2016-02-24       Impact factor: 2.259

3.  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

4.  3D Spatially Resolved Models of the Intracellular Dynamics of the Hepatitis C Genome Replication Cycle.

Authors:  Markus M Knodel; Sebastian Reiter; Paul Targett-Adams; Alfio Grillo; Eva Herrmann; Gabriel Wittum
Journal:  Viruses       Date:  2017-09-30       Impact factor: 5.048

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

Authors:  Harel Dahari; Jeremie Guedj; Alan S Perelson; Thomas J Layden
Journal:  Curr Hepat Rep       Date:  2011-07-02

6.  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

7.  Design requirements for interfering particles to maintain coadaptive stability with HIV-1.

Authors:  Igor M Rouzine; Leor S Weinberger
Journal:  J Virol       Date:  2012-12-05       Impact factor: 5.103

8.  Extended interaction networks with HCV protease NS3-4A substrates explain the lack of adaptive capability against protease inhibitors.

Authors:  Georg Dultz; Tetsuro Shimakami; Markus Schneider; Kazuhisa Murai; Daisuke Yamane; Antoine Marion; Tobias M Zeitler; Claudia Stross; Christian Grimm; Rebecca M Richter; Katrin Bäumer; MinKyung Yi; Ricardo M Biondi; Stefan Zeuzem; Robert Tampé; Iris Antes; Christian M Lange; Christoph Welsch
Journal:  J Biol Chem       Date:  2020-08-03       Impact factor: 5.157

9.  Mathematical analysis of multiscale models for hepatitis C virus dynamics under therapy with direct-acting antiviral agents.

Authors:  Libin Rong; Alan S Perelson
Journal:  Math Biosci       Date:  2013-05-16       Impact factor: 2.144

10.  Towards multiscale modeling of influenza infection.

Authors:  Lisa N Murillo; Michael S Murillo; Alan S Perelson
Journal:  J Theor Biol       Date:  2013-04-19       Impact factor: 2.691

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.