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Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors

OBJECTIVES: 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 vi...

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Autores principales: Garbuglia, Anna Rosa, Visco-Comandini, Ubaldo, Lionetti, Raffaella, Lapa, Daniele, Castiglione, Filippo, D’Offizi, Gianpiero, Taibi, Chiara, Montalbano, Marzia, Capobianchi, Maria Rosaria, Paci, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999094/
https://www.ncbi.nlm.nih.gov/pubmed/27560794
http://dx.doi.org/10.1371/journal.pone.0158989
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author Garbuglia, Anna Rosa
Visco-Comandini, Ubaldo
Lionetti, Raffaella
Lapa, Daniele
Castiglione, Filippo
D’Offizi, Gianpiero
Taibi, Chiara
Montalbano, Marzia
Capobianchi, Maria Rosaria
Paci, Paola
author_facet Garbuglia, Anna Rosa
Visco-Comandini, Ubaldo
Lionetti, Raffaella
Lapa, Daniele
Castiglione, Filippo
D’Offizi, Gianpiero
Taibi, Chiara
Montalbano, Marzia
Capobianchi, Maria Rosaria
Paci, Paola
author_sort Garbuglia, Anna Rosa
collection PubMed
description OBJECTIVES: 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. METHODS: 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 HCV viral load in those samples which resulted “detected <12IU/ml” or undetectable with ABBOTT standard assay, and was retrospectively used on samples collected at different time points to establish its predictive power for SVR. RESULTS: According to LDA, there was no association between SVR and viral kinetics neither at time points earlier than 1 week (days 1 and 4) after therapy initiation nor later. The slopes were not relevant for classifying patients as SVR or no-SVR. No significant differences were observed in the median HCV RNA values at T0 among SVR and no-SVR patients. HCV RNA values with US protocol (LOD 1.2 IU/ml) after 1 month of therapy were considered; the area under the ROC curve was 0.70. Overall, PPV and NPV of undetectable HCV RNA with the US method for SVR was 100% and 46.7%, respectively; sensitivity and specificity were 38.4% and 100% respectively. CONCLUSION: HCV RNA “not detected” by the US method after 1 month of treatment is predictive of SVR in first generation Protease inhibitor (PI)-based triple therapy. The US method could have clinical utility for advanced monitoring of virological response in new interferon based DAA combination regimens.
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spelling pubmed-49990942016-09-12 Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors Garbuglia, Anna Rosa Visco-Comandini, Ubaldo Lionetti, Raffaella Lapa, Daniele Castiglione, Filippo D’Offizi, Gianpiero Taibi, Chiara Montalbano, Marzia Capobianchi, Maria Rosaria Paci, Paola PLoS One Research Article OBJECTIVES: 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. METHODS: 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 HCV viral load in those samples which resulted “detected <12IU/ml” or undetectable with ABBOTT standard assay, and was retrospectively used on samples collected at different time points to establish its predictive power for SVR. RESULTS: According to LDA, there was no association between SVR and viral kinetics neither at time points earlier than 1 week (days 1 and 4) after therapy initiation nor later. The slopes were not relevant for classifying patients as SVR or no-SVR. No significant differences were observed in the median HCV RNA values at T0 among SVR and no-SVR patients. HCV RNA values with US protocol (LOD 1.2 IU/ml) after 1 month of therapy were considered; the area under the ROC curve was 0.70. Overall, PPV and NPV of undetectable HCV RNA with the US method for SVR was 100% and 46.7%, respectively; sensitivity and specificity were 38.4% and 100% respectively. CONCLUSION: HCV RNA “not detected” by the US method after 1 month of treatment is predictive of SVR in first generation Protease inhibitor (PI)-based triple therapy. The US method could have clinical utility for advanced monitoring of virological response in new interferon based DAA combination regimens. Public Library of Science 2016-08-25 /pmc/articles/PMC4999094/ /pubmed/27560794 http://dx.doi.org/10.1371/journal.pone.0158989 Text en © 2016 Garbuglia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Garbuglia, Anna Rosa
Visco-Comandini, Ubaldo
Lionetti, Raffaella
Lapa, Daniele
Castiglione, Filippo
D’Offizi, Gianpiero
Taibi, Chiara
Montalbano, Marzia
Capobianchi, Maria Rosaria
Paci, Paola
Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors
title Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors
title_full Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors
title_fullStr Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors
title_full_unstemmed Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors
title_short Ultrasensitive HCV RNA Quantification in Antiviral Triple Therapy: New Insight on Viral Clearance Dynamics and Treatment Outcome Predictors
title_sort ultrasensitive hcv rna quantification in antiviral triple therapy: new insight on viral clearance dynamics and treatment outcome predictors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999094/
https://www.ncbi.nlm.nih.gov/pubmed/27560794
http://dx.doi.org/10.1371/journal.pone.0158989
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