Literature DB >> 28380393

The New Aptima HCV Quant Dx Real-time TMA Assay Accurately Quantifies Hepatitis C Virus Genotype 1-6 RNA.

Stéphane Chevaliez1, Fabienne Dubernet2, Claude Dauvillier2, Christophe Hézode3, Jean-Michel Pawlotsky2.   

Abstract

BACKGROUND: Sensitive and accurate hepatitis C virus (HCV) RNA detection and quantification is essential for the management of chronic hepatitis C therapy. Currently available platforms and assays are usually batched and require at least 5hours of work to complete the analyses. OBJECTIVES AND STUDY
DESIGN: The aim of this study was to evaluate the ability of the newly developed Aptima HCV Quant Dx assay that eliminates the need for batch processing and automates all aspects of nucleic acid testing in a single step, to accurately detect and quantify HCV RNA in a large series of patients infected with different HCV genotypes.
RESULTS: The limit of detection was estimated to be 2.3 IU/mL. The specificity of the assay was 98.6% (95% confidence interval: 96.1%-99.5%). Intra-assay and inter-assay coefficients of variation ranged from 0.09% to 5.61%, and 1.05% to 3.65%, respectively. The study of serum specimens from patients infected with HCV genotypes 1 to 6 showed a satisfactory relationship between HCV RNA levels measured by the Aptima HCV Quant Dx assay, and both real-time PCR comparators (Abbott RealTime HCV and Cobas AmpliPrep/Cobas TaqMan HCV Test, version 2.0, assays).
CONCLUSIONS: the new Aptima HCV Quant Dx assay is rapid, sensitive, reasonably specific and reproducible and accurately quantifies HCV RNA in serum samples from patients with chronic HCV infection, including patients on antiviral treatment. The Aptima HCV Quant Dx assay can thus be confidently used to detect and quantify HCV RNA in both clinical trials with new anti-HCV drugs and clinical practice in Europe and the US.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Direct-acting antivirals; HCV RNA quantification; Monitoring of viral responses; TMA

Mesh:

Substances:

Year:  2017        PMID: 28380393     DOI: 10.1016/j.jcv.2017.03.020

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  5 in total

1.  Evaluation of the Aptima HCV Quant Dx Assay Using Serum and Dried Blood Spots.

Authors:  Jenna Weber; Malaya K Sahoo; Nathaniel Taylor; Run-Zhang Shi; Benjamin A Pinsky
Journal:  J Clin Microbiol       Date:  2019-03-28       Impact factor: 5.948

Review 2.  Current and Future Perspectives on Isothermal Nucleic Acid Amplification Technologies for Diagnosing Infections.

Authors:  Godwin Attah Obande; Kirnpal Kaur Banga Singh
Journal:  Infect Drug Resist       Date:  2020-02-12       Impact factor: 4.003

3.  Diagnosis and Monitoring of Hepatitis B Virus Infection Using the Cobas® HBV Test for Use on the Cobas® 4800 System.

Authors:  Valérie Ortonne; Mélanie Wlassow; Magali Bouvier-Alias; Giovana Melica; Jean-Dominique Poveda; Syria Laperche; Jean-Michel Pawlotsky; Stephane Chevaliez
Journal:  Microorganisms       Date:  2021-03-11

4.  Performance Evaluation of In Vitro Screening and Diagnostic Kits for Hepatitis C Virus Infection.

Authors:  Asako Murayama; Haruka Momose; Norie Yamada; Keiji Matsubayashi; Masamichi Muramatsu; Isao Hamaguchi; Takanobu Kato
Journal:  Front Cell Infect Microbiol       Date:  2022-02-03       Impact factor: 5.293

5.  Performance Evaluation of the Aptima Assays in Comparison with the cobas 6800 Assays for the Detection of HIV-1, HBV, and HCV in Clinical Samples.

Authors:  Younhee Park; Juhye Roh; Sinyoung Kim
Journal:  Ann Lab Med       Date:  2022-07-01       Impact factor: 4.941

  5 in total

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