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Title: Analysis of Hepatitis C Virus Decline during Treatment with the Protease Inhibitor Danoprevir Using a Multiscale Model

Journal Article · · PLoS Computational Biology (Online)
 [1];  [2];  [3];  [4];  [5];  [6];  [7]
  1. Oakland Univ., Rochester, MI (United States). Dept. of Mathematics and Statistics. Center for Biomedical Research
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics; Univ. Paris Diderot, Paris (France); National Inst. of Health and Medical Research (INSERM), Paris (France)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics; Univ. of Illinois, Chicago, IL (United States). Dept. of Medicine; Loyola Univ., Chicago, IL (United States). Dept. of Medicine
  4. Univ. of Michigan, Flint, MI (United States). Mathematics Dept.
  5. Roche, Nutley, NJ (United States). Pharma Research and Early Development. Clinical Pharmacology; Novartis Pharmaceuticals Corporation, East Hanover, NJ (United States)
  6. Roche, Nutley, NJ (United States). Pharma Research and Early Development. Clinical Pharmacology
  7. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics

The current paradigm for studying hepatitis C virus (HCV) dynamics in patients utilizes a standard viral dynamic model that keeps track of uninfected (target) cells, infected cells, and virus. The model does not account for the dynamics of intracellular viral replication, which is the major target of direct-acting antiviral agents (DAAs). In this paper, we describe and study a recently developed multiscale age-structured model that explicitly considers the potential effects of DAAs on intracellular viral RNA production, degradation, and secretion as virus into the circulation. We show that when therapy significantly blocks both intracellular viral RNA production and virus secretion, the serum viral load decline has three phases, with slopes reflecting the rate of serum viral clearance, the rate of loss of intracellular viral RNA, and the rate of loss of intracellular replication templates and infected cells, respectively. We also derive analytical approximations of the multiscale model and use one of them to analyze data from patients treated for 14 days with the HCV protease inhibitor danoprevir. Analysis suggests that danoprevir significantly blocks intracellular viral production (with mean effectiveness 99.2%), enhances intracellular viral RNA degradation about 5-fold, and moderately inhibits viral secretion (with mean effectiveness 56%). Finally, the multiscale model can be used to study viral dynamics in patients treated with other DAAs and explore their mechanisms of action in treatment of hepatitis C.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF); National Inst. of Health (NIH) (United States); Univ. of Illinois Water Payton Liver Center GUILD (United States); Roche (United States)
Contributing Organization:
Oakland Univ., Rochester, MI (United States); Univ. of Michigan, Flint, MI (United States); Roche, Nutley, NJ (United States)
Grant/Contract Number:
AC52-06NA25396; DMS-1122290; PHY-1125915; R56/R01-AI078881; P20-GM103452; AI028433; R34-HL109334; OD011095
OSTI ID:
1321717
Report Number(s):
LA-UR-12-21815
Journal Information:
PLoS Computational Biology (Online), Vol. 9, Issue 3; ISSN 1553-7358
Publisher:
Public Library of ScienceCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 62 works
Citation information provided by
Web of Science

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A Parameter Estimation Method for Multiscale Models of Hepatitis C Virus Dynamics journal July 2019
Superinfection and cure of infected cells as mechanisms for hepatitis C virus adaptation and persistence journal July 2018
A complete categorization of multiscale models of infectious disease systems journal September 2016
Multiscale modelling in immunology: a review journal March 2015
Estimating biologically relevant parameters under uncertainty for experimental within-host murine West Nile virus infection journal April 2016
Disentangling the lifespans of hepatitis C virus‐infected cells and intracellular vRNA replication‐complexes during direct‐acting anti‐viral therapy journal November 2019
Innovative Approximate Analytical Solution for Standard Model of Viral Dynamics: Hepatitis C with Direct-Acting Agents as an Implemented Case journal September 2019
Mutational pathway maps and founder effects define the within-host spectrum of hepatitis C virus mutants resistant to drugs journal April 2019
A New Age-Structured Multiscale Model of the Hepatitis C Virus Life-Cycle During Infection and Therapy With Direct-Acting Antiviral Agents journal April 2018
Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment journal February 2019
3D Spatially Resolved Models of the Intracellular Dynamics of the Hepatitis C Genome Replication Cycle journal September 2017
A method to determine the duration of the eclipse phase for in vitro infection with a highly pathogenic SHIV strain journal May 2015
Duration of SHIV production by infected cells is not exponentially distributed: Implications for estimates of infection parameters and antiviral efficacy journal February 2017
Inferring Viral Dynamics in Chronically HCV Infected Patients from the Spatial Distribution of Infected Hepatocytes journal November 2014
Improvement of ALT decay kinetics by all-oral HCV treatment: Role of NS5A inhibitors and differences with IFN-based regimens journal May 2017
A Quantitative High-Resolution Genetic Profile Rapidly Identifies Sequence Determinants of Hepatitis C Viral Fitness and Drug Sensitivity journal April 2014
A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics journal October 2017
Quantification of viral infection dynamics in animal experiments journal January 2013
Mathematical Analysis of Viral Replication Dynamics and Antiviral Treatment Strategies: From Basic Models to Age-Based Multi-Scale Modeling journal July 2018