Tracking HCV protease population diversity during transmission and susceptibility of founder populations to antiviral therapy
Autor: | Lieven Verhoye, Philip Meuleman, Robert Geffers, Thomas Pietschmann, Ali Farhoudi, C. Patrick McClure, Koen Vercauteren, Thomas F. Baumert, Daniel Todt, Sabin Bhuju, Richard J. C. Brown, Eike Steinmann, Tanvi Khera |
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Přispěvatelé: | Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Helmholtz Centre for infection research, Inhoffenstr. 7., 38124 Braunschweig, Germany. |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
HCV protease medicine.medical_treatment Hepacivirus Viral Nonstructural Proteins medicine.disease_cause Mice Protease Inhibitors/administration and dosage/therapeutic use 0302 clinical medicine Genotype Viral Serine Endopeptidases/chemistry/*genetics/*metabolism Genetics Antiviral Agents/therapeutic use education.field_of_study Genome Serine Endopeptidases Hepatitis C 3. Good health Hepacivirus/drug effects/*enzymology/*genetics 030211 gastroenterology & hepatology Sequence Analysis Evolution Hepatitis C virus Population RAS emergence Viral Nonstructural Proteins/chemistry/*genetics/*metabolism Genome Viral Founder populations Biology Antiviral Agents Article Evolution Molecular 03 medical and health sciences Virology Genetic variation medicine Animals Humans Transmission Protease Inhibitors education Illumina dye sequencing Pharmacology NS3 Protease Animal Longitudinal evolution Molecular Genetic Variation Sequence Analysis DNA DNA Hepatitis C/drug therapy/*transmission/virology Disease Models Animal 030104 developmental biology Population bottleneck Disease Models Mutation [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology |
Zdroj: | Antiviral Research Antiviral Research, Elsevier Masson, 2017, 139, pp.129-137. ⟨10.1016/j.antiviral.2017.01.001⟩ |
ISSN: | 0166-3542 1872-9096 |
DOI: | 10.1016/j.antiviral.2017.01.001⟩ |
Popis: | PMC5292934; 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% 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. |
Databáze: | OpenAIRE |
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