{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(8)"],"submitter":["Garbuglia AR"],"pubmed_abstract":["<h4>Objectives</h4>Identifying the predictive factors of Sustained Virological Response (SVR) represents an important challenge in new interferon-based DAA therapies. Here, we analyzed the kinetics of antiviral response associated with a triple drug regimen, and the association between negative residual viral load at different time points during treatment.<h4>Methods</h4>Twenty-three HCV genotype 1 (GT 1a n = 11; GT1b n = 12) infected patients were included in the study. Linear Discriminant Analysis (LDA) was used to establish possible association between HCV RNA values at days 1 and 4 from start of therapy and SVR. Principal component analysis (PCA) was applied to analyze the correlation between HCV RNA slope and SVR. A ultrasensitive (US) method was established to measure the residual HC"],"journal":["PloS one"],"pagination":["e0158989"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4999094"],"repository":["biostudies-literature"],"pubmed_title":["Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors."],"pmcid":["PMC4999094"],"pubmed_authors":["Lapa D","Taibi C","Montalbano M","Lionetti R","Castiglione F","D'Offizi G","Garbuglia AR","Capobianchi MR","Visco-Comandini U","Paci P"],"additional_accession":[]},"is_claimable":false,"name":"Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors.","description":"<h4>Objectives</h4>Identifying the predictive factors of Sustained Virological Response (SVR) represents an important challenge in new interferon-based DAA therapies. Here, we analyzed the kinetics of antiviral response associated with a triple drug regimen, and the association between negative residual viral load at different time points during treatment.<h4>Methods</h4>Twenty-three HCV genotype 1 (GT 1a n = 11; GT1b n = 12) infected patients were included in the study. Linear Discriminant Analysis (LDA) was used to establish possible association between HCV RNA values at days 1 and 4 from start of therapy and SVR. Principal component analysis (PCA) was applied to analyze the correlation between HCV RNA slope and SVR. A ultrasensitive (US) method was established to measure the residual HC","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016","modification":"2026-05-29T20:33:56.159Z","creation":"2019-03-26T22:52:37Z"},"accession":"S-EPMC4999094","cross_references":{"pubmed":["27560794"],"doi":["10.1371/journal.pone.0158989"]}}