Evidence map›Paper›PMID 20723038›Full record

ReviewJournal of viral hepatitis2010

A perspective on modelling hepatitis C virus infection.

J Guedj, L Rong, H Dahari, A S Perelson

Abstract readReview
In one paragraph

Review in Journal of viral hepatitis, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Review
  9. Article
  10. Advanced Hepatitis C Virus Replication PDE Models within a Realistic Intracellular Geometric Environment.International journal of environmental research and public health · 2019
    Article
  11. Superinfection and cure of infected cells as mechanisms for hepatitis C virus adaptation and persistence.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. Review
  14. Article
  15. In-host modeling.Infectious Disease Modelling · 2017
    Article
  16. Interferon-α-induced CD100 on naïve CD8The Journal of international medical research · 2017
    Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

J GuedjTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
L Rong
H Dahari
A S Perelson

Funding

UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2003 to 2011
$16.7M
HIV Antiretroviral Therapy and Hepatic InjuryR01AI065256 · NIAID · UNIVERSITY OF CINCINNATI · PI SHERMAN, KENNETH E · 2006 to 2019
$5.5M
MODELING VIRAL AND T LYMPHOCYTE DYNAMICSR01RR006555 · NCRR · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1991 to 2011
$3.9M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Immune System Modeling/HIVR37AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 2002 to 2011
$2.4M
Core Center for Quantitative BiologyP30EB011339 · NIBIB · OAKLAND UNIVERSITY · PI ROTH, BRADLEY JOHN · 2009 to 2010
$722k
HIV Antiretroviral Therapy and Hepatic InjuryR56AI065256 · NIAID · UNIVERSITY OF CINCINNATI · PI SHERMAN, KENNETH E · 2014 to 2014
$535k
NCRR NIH HHS P20 RR018754NCRR NIH HHS P20-RR18754NCRR NIH HHS R01 RR006555NCRR NIH HHS RR06555-18NIAID NIH HHS AI065256NIAID NIH HHS AI28433-19NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI065256NIAID NIH HHS R37 AI028433NIAID NIH HHS R56 AI065256NIBIB NIH HHS P30 EB011339NIBIB NIH HHS P30-EB011339
6 · The paper itself

Abstract

By mathematically describing early hepatitis C virus (HCV) RNA decay after initiation of interferon (IFN)-based antiviral therapy, crucial parameters of the in vivo viral kinetics have been estimated, such as the rate of production and clearance of free virus, and the rate of loss of infected cells. Furthermore, by suggesting mechanisms of action for IFN and ribavirin mathematical modelling has provided a means for evaluating and optimizing treatment strategies. Here, we review recent modelling developments for understanding complex viral kinetics patterns, such as triphasic HCV RNA declines and viral rebounds observed in patients treated with pegylated interferon and ribavirin. Moreover, we discuss new modelling approaches developed to interpret the viral kinetics observed in clinical trials with direct-acting antiviral agents, which induce a rapid decline of wild-type virus but also engender a higher risk for emergence of drug-resistant variants. Lastly, as in vitro systems have allowed a better characterization of the virus lifecycle, we discuss new modelling approaches that combine the intracellular and the extracellular viral dynamics.

Indexed as

Models, BiologicalAntiviral AgentsDrug Resistance, ViralHepacivirusHepatitis CHumansInterferon-alphaInterferon alpha-2KineticsPolyethylene GlycolsRecombinant ProteinsRibavirinRNA, ViralAntiviral AgentsInterferon-alphaInterferon alpha-2peginterferon alfa-2apeginterferon alfa-2bPolyethylene GlycolsRecombinant ProteinsRibavirinRNA, Viral

Identifiers

PMID20723038
PMCPMC3070361

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.