Evidence map›Paper›PMID 23903655›Full record

ArticleNature2013

Completion of the entire hepatitis C virus life cycle in genetically humanized mice.

Marcus Dorner, Joshua A Horwitz, Bridget M Donovan, Rachael N Labitt, William C Budell, Tamar Friling, Alexander Vogt, Maria Teresa Catanese, Takashi Satoh, Taro Kawai and 4 more

Open access · greenAbstract read
In one paragraph

Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
21.9field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 220 citations in OpenAlex.

  1. Trial
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  15. Review
  16. Entry Inhibitors of Hepatitis C Virus.Advances in experimental medicine and biology · 2022
    Article
  17. Article
  18. Review
  19. Review
  20. Liver-expressedScience advances · 2020
    Article

75 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 3 countries.

Marcus DornerCenter for the Study of Hepatitis C, The Rockefeller University, New York, New York 10065, USA.
Joshua A Horwitz
Bridget M Donovan
Rachael N Labitt
William C Budell
Tamar Friling
Alexander Vogt
Maria Teresa Catanese
Takashi Satoh
Taro Kawai
Shizuo Akira
Mansun Law
Charles M Rice
Alexander Ploss
Rockefeller University · USOsaka University · JPImperial College London · GBPrinceton University · USScripps Research Institute · US

Funding

Genetic Viral and Host Adaptations to Breach Species Barriers of HCVR01AI107301 · NIAID · PRINCETON UNIVERSITY · PI Thomas Pietschmann, Alexander Ploss · 2013 to 2026
$6.0M
Structure and function of the HCV RNA replicaseR01CA057973 · NCI · WASHINGTON UNIVERSITY · PI RICE, CHARLES M · 1992 to 2013
$4.7M
Identification and characterization of cellular factors involved in HCV entryR01AI072613 · NIAID · ROCKEFELLER UNIVERSITY · PI RICE, CHARLES M · 2007 to 2016
$4.7M
Understanding human neutralizing antibodies to hepatitis C virusR01AI079031 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI LAW, MANSUN · 2008 to 2017
$4.6M
Hepatitis C antivirals: Mechanism of action, combination efficacy and resistanceR01AI099284 · NIAID · ROCKEFELLER UNIVERSITY · PI RICE, CHARLES M · 2012 to 2016
$3.6M
An inbred mouse model for HCV infection, immunity andpathogenesisRC1DK087193 · NIDDK · ROCKEFELLER UNIVERSITY · PI RICE, CHARLES M · 2009 to 2010
$995k
NCI NIH HHS R01 CA057973NCI NIH HHS R01CA057973NIAID NIH HHS R01 AI072613NIAID NIH HHS R01AI072613NIAID NIH HHS R01 AI079031NIAID NIH HHS R01AI079031NIAID NIH HHS R01 AI099284NIAID NIH HHS R01AI099284NIAID NIH HHS R01 AI107301NIDDK NIH HHS RC1 DK087193NIDDK NIH HHS RC1DK087193
6 · The paper itself

Abstract

More than 130 million people worldwide chronically infected with hepatitis C virus (HCV) are at risk of developing severe liver disease. Antiviral treatments are only partially effective against HCV infection, and a vaccine is not available. Development of more efficient therapies has been hampered by the lack of a small animal model. Building on the observation that CD81 and occludin (OCLN) comprise the minimal set of human factors required to render mouse cells permissive to HCV entry, we previously showed that transient expression of these two human genes is sufficient to allow viral uptake into fully immunocompetent inbred mice. Here we demonstrate that transgenic mice stably expressing human CD81 and OCLN also support HCV entry, but innate and adaptive immune responses restrict HCV infection in vivo. Blunting antiviral immunity in genetically humanized mice infected with HCV results in measurable viraemia over several weeks. In mice lacking the essential cellular co-factor cyclophilin A (CypA), HCV RNA replication is markedly diminished, providing genetic evidence that this process is faithfully recapitulated. Using a cell-based fluorescent reporter activated by the NS3-4A protease we visualize HCV infection in single hepatocytes in vivo. Persistently infected mice produce de novo infectious particles, which can be inhibited with directly acting antiviral drug treatment, thereby providing evidence for the completion of the entire HCV life cycle in inbred mice. This genetically humanized mouse model opens new opportunities to dissect genetically HCV infection in vivo and provides an important preclinical platform for testing and prioritizing drug candidates and may also have utility for evaluating vaccine efficacy.

Indexed as

Disease Models, AnimalGenetic EngineeringVirus ReplicationAnimalsCell LineCyclophilin AHepacivirusHepatitis CHumansMiceMice, Inbred C57BLMice, TransgenicOccludinSTAT1 Transcription FactorTetraspanin 28ViremiaCD81 protein, humanCyclophilin AOccludinStat1 protein, mouseSTAT1 Transcription FactorTetraspanin 28

Identifiers

PMID23903655
PMCPMC3858853
OpenAlexW2021668929

What OpenQuestion holds

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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.