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Amino acid substitutions associated with treatment failure of hepatitis C virus infection

AuthorsSoria, María Eugenia; García-Crespo, Carlos; Martínez-González, Brenda; Vázquez-Sirvent, Lucía; Lobo-Vega, Rebeca; Ávila, Ana Isabel de; Gallego, Isabel CSIC ORCID; Chen, Qian; García-Cehic, Damir; Llorens-Revull, Meritxell; Briones, Carlos CSIC ORCID; Gómez, Jordi; Ferrer-Orta, Cristina CSIC ; Verdaguer, Núria CSIC ORCID ; Gregori, Josep; Rodríguez-Frías, Francisco; Buti, María; Esteban, Juan Ignacio; Domingo, Esteban CSIC ORCID; Quer, Josep; Perales, Celia CSIC ORCID
Issue Date6-Sep-2022
CitationXVI Congreso Nacional de Virología (2022)
AbstractDespite the high sustained virological response rates achieved with current directly-acting antiviral agents (DAAs) against hepatitis C virus (HCV), around 2% to 5% of patients do not achieve such a response. Identification of amino acid substitutions associated with treatment failure requires analytical designs, such as subtype-specific ultra-deep sequencing (UDS) methods for HCV characterization and patient management. By deep sequencing analysis of 220 subtyped HCV samples from infected patients who failed therapy, collected from 39 Spanish hospitals, we determined amino acid sequences of the DAA-target proteins NS3, NS5A and NS5B, by UDS of HCV patient samples, in search of resistanceassociated substitutions (RAS). Using this procedure, we have identified six highly represented amino acid substitutions (HRSs) in NS5A and NS5B of HCV, which are not bona fide RAS. They were present frequently in basal and post-treatment virus of patients who failed therapy to different DAA-based therapies. Contrary to several RAS, HRSs belong to the acceptable subset of substitutions according to the PAM250 replacement matrix. Coherently, 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. Also, they have limited predicted disruptive effects on the threedimensional structures of the proteins harboring them. The information on HRSs that will be gathered during sequencing should be relevant not only to help predict treatment outcomes and disease progression but also to further understand HCV population dynamics, which appears much more complex than thought prior to the introduction of deep sequencing.
DescriptionTrabajo presentado en el XVI Congreso Nacional de Virología, celebrado en Málaga (España) del 06 al 09 de septiembre de 2022.
Appears in Collections:(IBMB) Comunicaciones congresos
(CBM) Comunicaciones congresos
(IPBLN) Comunicaciones congresos
(CNB) Comunicaciones congresos
(CAB) Comunicaciones congresos

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