Evidence map›Paper›PMID 28062191›Full record

ArticleAntiviral research2017

Tracking HCV protease population diversity during transmission and susceptibility of founder populations to antiviral therapy.

Tanvi Khera, Daniel Todt, Koen Vercauteren, C Patrick McClure, Lieven Verhoye, Ali Farhoudi, Sabin Bhuju, Robert Geffers, Thomas F Baumert, Eike Steinmann and 3 more

Abstract read
In one paragraph

Article in Antiviral research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

13 authors.

Tanvi KheraInstitute of Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint venture between the Medical School Hannover (MHH) and the Helmholtz Centre for Infection Research (HZI), Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Daniel TodtInstitute of Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint venture between the Medical School Hannover (MHH) and the Helmholtz Centre for Infection Research (HZI), Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Koen VercauterenLaboratory of Liver Infectious Diseases, Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, Gent, Belgium.
C Patrick McClureThe School of Life Sciences and the NIHR Nottingham Digestive Diseases Biomedical Research Unit, The University of Nottingham, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
Lieven VerhoyeLaboratory of Liver Infectious Diseases, Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, Gent, Belgium.
Ali FarhoudiLaboratory of Liver Infectious Diseases, Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, Gent, Belgium.
Sabin BhujuGenome Analytics, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124 Braunschweig, Germany.
Robert GeffersGenome Analytics, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124 Braunschweig, Germany.
Thomas F BaumertInserm, U1110, Institut de Recherche sur les Maladies Virales et Hépatiques, Strasbourg, France; Université de Strasbourg, Strasbourg, France; Institut Hospitalo-Universitaire, Pôle Hépato-digestif, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Eike SteinmannInstitute of Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint venture between the Medical School Hannover (MHH) and the Helmholtz Centre for Infection Research (HZI), Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Philip MeulemanLaboratory of Liver Infectious Diseases, Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, Gent, Belgium.
Thomas PietschmannInstitute of Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint venture between the Medical School Hannover (MHH) and the Helmholtz Centre for Infection Research (HZI), Feodor-Lynen-Str. 7, 30625, Hannover, Germany; German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Germany.
Richard J P BrownInstitute of Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint venture between the Medical School Hannover (MHH) and the Helmholtz Centre for Infection Research (HZI), Feodor-Lynen-Str. 7, 30625, Hannover, Germany. Electronic address: richard.brown@twincore.de.

Funding

Project 2 - FranceU19AI123862 · NIAID · STANFORD UNIVERSITY · PI FOUNG, STEVEN · 2016 to 2020
$3.9M
European Research Council 671231NIAID NIH HHS U19 AI123862
6 · The paper itself

Abstract

Due to the highly restricted species-tropism of Hepatitis C virus (HCV) a limited number of animal models exist for pre-clinical evaluation of vaccines and antiviral compounds. The human-liver chimeric mouse model allows heterologous challenge with clinically relevant strains derived from patients. However, to date, the transmission and longitudinal evolution of founder viral populations in this model have not been characterized in-depth using state-of-the-art sequencing technologies. Focusing on NS3 protease encoding region of the viral genome, mutant spectra in a donor inoculum and individual recipient mice were determined via Illumina sequencing and compared, to determine the effects of transmission on founder viral population complexity. In all transmissions, a genetic bottleneck was observed, although diverse viral populations were transmitted in each case. A low frequency cloud of mutations (<1%) was detectable in the donor inoculum and recipient mice, with single nucleotide variants (SNVs) > 1% restricted to a subset of nucleotides. The population of SNVs >1% was reduced upon transmission while the low frequency SNV cloud remained stable. Fixation of multiple identical synonymous substitutions was apparent in independent transmissions, and no evidence for reversion of T-cell epitopes was observed. In addition, susceptibility of founder populations to antiviral therapy was assessed. Animals were treated with protease inhibitor (PI) monotherapy to track resistance associated substitution (RAS) emergence. Longitudinal analyses revealed a decline in population diversity under therapy, with no detectable RAS >1% prior to therapy commencement. Despite inoculation from a common source and identical therapeutic regimens, unique RAS emergence profiles were identified in different hosts prior to and during therapeutic failure, with complex mutational signatures at protease residues 155, 156 and 168 detected. Together these analyses track viral population complexity at high-resolution in the human-liver chimeric mouse model post-transmission and under therapeutic intervention, revealing novel insights into the evolutionary processes which shape viral protease population composition at various critical stages of the viral life-cycle.

Indexed as

AnimalsAntiviral AgentsDEAD-box RNA HelicasesDisease Models, AnimalEvolution, MolecularGenetic VariationGenome, ViralGenotypeHepacivirusHepatitis CHumansMiceMutationNucleoside-TriphosphataseProtease InhibitorsSequence Analysis, DNAAntiviral AgentsDEAD-box RNA HelicasesNS3 protein, hepatitis C virusNucleoside-TriphosphataseProtease InhibitorsSerine EndopeptidasesViral Nonstructural ProteinsViral ProteasesFounder populationsHCV proteaseLongitudinal evolutionRAS emergenceTransmission

Identifiers

PMID28062191
PMCPMC5292934

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.