Evidence map›Paper›PMID 29563295›Full record

ArticleJournal of virology2018

Intracellular Hepatitis C Virus Modeling Predicts Infection Dynamics and Viral Protein Mechanisms.

Thomas R Aunins, Katherine A Marsh, Gitanjali Subramanya, Susan L Uprichard, Alan S Perelson, Anushree Chatterjee

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Thomas R AuninsDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
Katherine A MarshDepartment of Microbiology and Immunology, University of Illinois Chicago, Chicago, Illinois, USA.
Gitanjali SubramanyaProgram for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, Illinois, USA.
Susan L UprichardDepartment of Microbiology and Immunology, University of Illinois Chicago, Chicago, Illinois, USA.
Alan S PerelsonTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, New Mexico, USA.ORCID https://orcid.org/0000-0002-2455-0002
Anushree ChatterjeeDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA chatterjee@colorado.edu.
Loyola University Medical Center · USUniversity of Colorado Boulder · USLos Alamos National Laboratory · USUniversity of Illinois Chicago · US

Funding

Spatial Models of Intrahepatic Hepatitis C Virus Propagation in HumansR01AI116868 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI ASHWIN BALAGOPAL, Ruy M Ribeiro · 2016 to 2026
$8.5M
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
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI078881NIAID NIH HHS R01 AI116868NIH HHS R01 OD011095
6 · The paper itself

Abstract

Hepatitis C virus (HCV) infection is a global health problem, with nearly 2 million new infections occurring every year and up to 85% of these infections becoming chronic infections that pose serious long-term health risks. To effectively reduce the prevalence of HCV infection and associated diseases, it is important to understand the intracellular dynamics of the viral life cycle. Here, we present a detailed mathematical model that represents the full hepatitis C virus life cycle. It is the first full HCV model to be fit to acute intracellular infection data and the first to explore the functions of distinct viral proteins, probing multiple hypotheses of

Indexed as

Models, TheoreticalCell Line, TumorDEAD-box RNA HelicasesHepacivirusHepatitis CHumansLife Cycle StagesNucleoside-TriphosphataseProtein BiosynthesisRNA-Dependent RNA PolymeraseRNA, ViralSerine EndopeptidasesViral Core ProteinsViral Nonstructural ProteinsViral ProteasesDEAD-box RNA HelicasesNS3 protein, hepatitis C virusNS-5 protein, hepatitis C virusNucleoside-TriphosphataseRNA-Dependent RNA PolymeraseRNA, ViralSerine EndopeptidasesViral Core ProteinsViral Nonstructural ProteinsViral Proteaseshepatitis C virusmathematical modelpolyprotein cleavageRNA

Identifiers

PMID29563295
PMCPMC5952170
OpenAlexW2793987269

What OpenQuestion holds

Textmetadata
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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.