| Literature DB >> 32999010 |
María Eugenia Soria1,2,3, Carlos García-Crespo3, Brenda Martínez-González1,3, Lucía Vázquez-Sirvent3, Rebeca Lobo-Vega1,3, Ana Isabel de Ávila3, Isabel Gallego3,4, Qian Chen2,4, Damir García-Cehic2,4, Meritxell Llorens-Revull2,4, Carlos Briones4,5, Jordi Gómez4,6, Cristina Ferrer-Orta7, Nuria Verdaguer7, Josep Gregori2,4,8, Francisco Rodríguez-Frías4,9, María Buti2,4, Juan Ignacio Esteban2,4, Esteban Domingo3,4, Josep Quer2,4, Celia Perales10,2,3,4.
Abstract
Despite the high virological response rates achieved with current directly acting antiviral agents (DAAs) against hepatitis C virus (HCV), around 2% to 5% of treated patients do not achieve a sustained viral response. The identification of amino acid substitutions associated with treatment failure requires analytical designs, such as subtype-specific ultradeep sequencing (UDS) methods, for HCV characterization and patient management. Using this procedure, we have identified six highly represented amino acid substitutions (HRSs) in NS5A and NS5B of HCV, which are not bona fide resistance-associated substitutions (RAS), from 220 patients who failed therapy. They were present frequently in basal and posttreatment virus of patients who failed different DAA-based therapies. Contrary to several RAS, HRSs belong to the acceptable subset of substitutions according to the PAM250 replacement matrix. Their mutant frequency, measured by the number of deep sequencing reads within the HCV quasispecies that encode the relevant substitutions, ranged between 90% and 100% in most cases. They also have limited predicted disruptive effects on the three-dimensional structures of the proteins harboring them. Possible mechanisms of HRS origin and dominance, as well as their potential predictive value for treatment response, are discussed.Entities:
Keywords: antiviral agents; next-generation sequencing; treatment planning; viral diagnostics; viral fitness; viral quasispecies
Year: 2020 PMID: 32999010 PMCID: PMC7685896 DOI: 10.1128/JCM.01985-20
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948