Literature DB >> 27510829

Evaluation of Hologic Aptima HIV-1 Quant Dx Assay on the Panther System on HIV Subtypes.

Mark M Manak1, Holly R Hack2, Sangeetha V Nair3, Andrew Worlock3, Jennifer A Malia4, Sheila A Peel4, Linda L Jagodzinski4.   

Abstract

Quantitation of the HIV-1 viral load in plasma is the current standard of care for clinical monitoring of HIV-infected individuals undergoing antiretroviral therapy. This study evaluated the analytical and clinical performances of the Aptima HIV-1 Quant Dx assay (Hologic, San Diego, CA) for monitoring viral load by using 277 well-characterized subtype samples, including 171 cultured virus isolates and 106 plasma samples from 35 countries, representing all major HIV subtypes, recombinants, and circulating recombinant forms (CRFs) currently in circulation worldwide. Linearity of the Aptima assay was tested on each of 6 major HIV-1 subtypes (A, B, C, D, CRF01_AE, and CRF02_AG) and demonstrated an R(2) value of ≥0.996. The performance of the Aptima assay was also compared to those of the Roche COBAS AmpliPrep/COBAS TaqMan HIV-1 v.2 (CAP/CTM) and Abbott m2000 RealTime HIV-1 (RealTime) assays on all subtype samples. The Aptima assay values averaged 0.21 log higher than the CAP/CTM values and 0.30 log higher than the RealTime values, and the values were >0.4 log higher than CAP/CTM values for subtypes F and G and than RealTime values for subtypes C, F, and G and CRF02_AG. Two samples demonstrated results with >1-log differences from RealTime results. When the data were adjusted by the average difference, 94.9% and 87.0% of Aptima results fell within 0.5 log of the CAP/CTM and RealTime results, respectively. The linearity and accuracy of the Aptima assay in correctly quantitating all major HIV-1 subtypes, coupled with the completely automated format and high throughput of the Panther system, make this system well suited for reliable measurement of viral load in the clinical laboratory.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

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Year:  2016        PMID: 27510829      PMCID: PMC5035401          DOI: 10.1128/JCM.01350-16

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  29 in total

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Journal:  HIV Med       Date:  2014-01       Impact factor: 3.180

4.  Antiretroviral drug resistance in HIV-1-infected patients experiencing persistent low-level viremia during first-line therapy.

Authors:  Babafemi Taiwo; Sebastien Gallien; Evgenia Aga; Heather Ribaudo; Richard Haubrich; Daniel R Kuritzkes; Joseph J Eron
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Authors:  Joseph J Eron; David A Cooper; Roy T Steigbigel; Bonaventura Clotet; Jose M Gatell; Princy N Kumar; Jurgen K Rockstroh; Mauro Schechter; Martin Markowitz; Patrick Yeni; Mona R Loutfy; Adriano Lazzarin; Jeffrey L Lennox; Kim M Strohmaier; Hong Wan; Richard J O Barnard; Bach-Yen T Nguyen; Hedy Teppler
Journal:  Lancet Infect Dis       Date:  2013-05-07       Impact factor: 25.071

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Authors:  Joris Hemelaar; Eleanor Gouws; Peter D Ghys; Saladin Osmanov
Journal:  AIDS       Date:  2011-03-13       Impact factor: 4.177

10.  Evaluation of the Aptima(®) HIV-1 Quant Dx assay for HIV-1 RNA viral load detection and quantitation in plasma of HIV-1-infected individuals: A comparison with Abbott RealTime HIV-1 assay.

Authors:  Alessandra Amendola; Maria Pisciotta; Loredana Aleo; Valeria Ferraioli; Claudio Angeletti; Maria Rosaria Capobianchi
Journal:  J Med Virol       Date:  2016-02-19       Impact factor: 2.327

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Journal:  J Clin Microbiol       Date:  2018-07-26       Impact factor: 5.948

2.  Impact of Early Antiretroviral Therapy on Detection of Cell-Associated HIV-1 Nucleic Acid in Blood by the Roche Cobas TaqMan Test.

Authors:  Linda L Jagodzinski; Mark M Manak; Holly R Hack; Ying Liu; Jennifer A Malia; Joanna Freeman; Nittaya Phanuphak; Mark de Souza; Eugène D Kroon; Donn J Colby; Nitiya Chomchey; Michelle A Lally; Nelson L Michael; Jintanat Ananworanich; Sheila A Peel
Journal:  J Clin Microbiol       Date:  2019-04-26       Impact factor: 5.948

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5.  Multicenter Evaluation of Two Next-Generation HIV-1 Quantitation Assays, Aptima Quant Dx and Cobas 6800, in Comparison to the RealTime HIV-1 Reference Assay.

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Journal:  J Clin Microbiol       Date:  2018-09-25       Impact factor: 5.948

6.  Comparison of the Aptima HIV-1 Quant Dx assay with the COBAS AmpliPrep/COBAS TaqMan HIV-1 v2.0 Test for HIV-1 viral load quantification in plasma samples from HIV-1-infected patients.

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7.  The Development of a Standardized Quality Assessment Material to Support Xpert® HIV-1 Viral Load Testing for ART Monitoring in South Africa.

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8.  Prospective evaluation of accuracy of HIV viral load monitoring using the Aptima HIV Quant Dx assay with fingerstick and venous dried blood spots prepared under field conditions in Kenya.

Authors:  Matilu Mwau; Jeff Danda; Joseph Mbugua; Allan Handa; Jacqueline Fortunko; Andrew Worlock; Sangeetha Vijaysri Nair
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9.  Development of a sensitive, quantitative assay with broad subtype specificity for detection of total HIV-1 nucleic acids in plasma and PBMC.

Authors:  C N Kibirige; M Manak; D King; B Abel; H Hack; D Wooding; Y Liu; N Fernandez; J Dalel; Steve Kaye; N Imami; L Jagodzinski; J Gilmour
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