Evidence map›Paper›PMID 23396509›Full record

Trial reportGut2014

Effect of ribavirin on viral kinetics and liver gene expression in chronic hepatitis C.

Yaron Rotman, Mazen Noureddin, Jordan J Feld, Jeremie Guedj, Michael Witthaus, Hwalih Han, Yoon J Park, Su-Hyung Park, Theo Heller, Marc G Ghany and 15 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Gut, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Development of a Validated Interferon Score Using NanoString Technology.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2018
    Article
  13. Hepatic Gi signaling regulates whole-body glucose homeostasis.The Journal of clinical investigation · 2018
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Modelling hepatitis C therapy--predicting effects of treatment.Nature reviews. Gastroenterology & hepatology · 2015
    Review
  19. HCV Kinetic Models and Their Implications in Drug Development.CPT: pharmacometrics & systems pharmacology · 2015
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 4 institutions in 3 countries.

Yaron RotmanLiver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, , Bethesda, Maryland, USA.
Mazen Noureddin
Jordan J Feld
Jeremie Guedj
Michael Witthaus
Hwalih Han
Yoon J Park
Su-Hyung Park
Theo Heller
Marc G Ghany
Edward Doo
Christopher Koh
Adil Abdalla
Naveen Gara
Souvik Sarkar
Emmanuel Thomas
Golo Ahlenstiel
Birgit Edlich
Rachel Titerence
Leah Hogdal
Barbara Rehermann
Harel Dahari
Alan S Perelson
Jay H Hoofnagle
T Jake Liang
National Institutes of Health · USNational Institute of Diabetes and Digestive and Kidney Diseases · USLos Alamos National Laboratory · USInstitut National de Recherche en Santé Publique · ML

Funding

Therapy, Vaccine and Model Development in Viral Hepatitis and Liver DiseasesZIADK054505 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI LIANG, T. JAKE · 2009 to 2025
$17.5M
UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI CUNNINGHAM, CHARLES · 2003 to 2011
$16.7M
Immunology of Acute and Chronic Viral Hepatitis in HumansZIADK054509 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI REHERMANN, BARBARA · 2009 to 2025
$15.1M
Investigation of management and disease manifestations of viral hepatitisZIADK054514 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HELLER, THEO · 2009 to 2025
$12.9M
Visualizing, Quantifying, and Modeling of T Cell Response to Listeria InfectionP01AI071195 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHAKRABORTY, ARUP K. · 2006 to 2010
$8.1M
Training Grant in GastroenterologyT32DK007202 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, PRADIPTA · 1985 to 2022
$7.7M
Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR01AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2011 to 2025
$7.5M
Natural History, Therapy and Pathogenesis of Chronic Viral Hepatitis CZIADK075009 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI GHANY, MARC · 2009 to 2025
$7.2M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
COBRE Center for Evolutionary and Theoretical ImmunologyP20GM103452 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2012 to 2013
$4.2M
The Genetics of Disease Progression and Treatment Response in Hepatitis CZIADK054511 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI LIANG, T. JAKE · 2009 to 2017
$3.8M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Intramural NIH HHS Z99 DA999999Intramural NIH HHS Z99 DK999999Intramural NIH HHS Z99 OD999999Intramural NIH HHS ZIA DK075046NCRR NIH HHS P20 RR018754NHLBI NIH HHS R34 HL109334NIAID NIH HHS P01 AI071195NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI078881NIAID NIH HHS R37 AI028433NIDDK NIH HHS T32 DK007202NIGMS NIH HHS P20 GM103452NIH HHS R01 OD011095
6 · The paper itself

Abstract

objectiveRibavirin improves treatment response to pegylated-interferon (PEG-IFN) in chronic hepatitis C but the mechanism remains controversial. We studied correlates of response and mechanism of action of ribavirin in treatment of hepatitis C.

design70 treatment-naive patients were randomised to 4 weeks of ribavirin (1000-1200 mg/d) or none, followed by PEG-IFNα-2a and ribavirin at standard doses and durations. Patients were also randomised to a liver biopsy 24 h before or 6 h after starting PEG-IFN. Hepatic gene expression was assessed by microarray and interferon-stimulated gene (ISG) expression quantified by nCounter platform. Temporal changes in ISG expression were assessed by qPCR in peripheral-blood mononuclear cells (PBMC) and by serum levels of IP-10.

resultsAfter 4 weeks of ribavirin monotherapy, hepatitis C virus (HCV) levels decreased by 0.5±0.5 log10 (p=0.009 vs controls) and ALT by 33% (p<0.001). Ribavirin pretreatment, while modestly augmenting ISG induction by PEG-IFN, did not modify the virological response to subsequent PEG-IFN and ribavirin treatment. However, biochemical, but not virological, response to ribavirin monotherapy predicted response to subsequent combination treatment (rapid virological response, 71% in biochemical responders vs 22% non-responders, p=0.01; early virological response, 100% vs 68%, p=0.03; sustained virological response 83% vs 41%, p=0.053). Ribavirin monotherapy lowered serum IP-10 levels but had no effect on ISG expression in PBMC.

conclusionsRibavirin is a weak antiviral but its clinical effect seems to be mediated by a separate, indirect mechanism, which may act to reset IFN-responsiveness in HCV-infected liver.

Indexed as

AdultAntiviral AgentsBiomarkersDrug Administration ScheduleDrug Therapy, CombinationFemaleGene Expression ProfilingHepatitis C, ChronicHumansInterferon-alphaInterferon Regulatory FactorsLiverMaleMiddle AgedOligonucleotide Array Sequence AnalysisPolyethylene GlycolsAntiviral AgentsBiomarkersInterferon-alphaInterferon Regulatory Factorspeginterferon alfa-2aPolyethylene GlycolsRecombinant ProteinsRibavirinHepatitis CInterferon-Alpha

Identifiers

PMID23396509
PMCPMC3778097
OpenAlexW2145234555

What OpenQuestion holds

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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.