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Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece

BACKGROUND: HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. METHODS: In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan...

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Autores principales: Katsoulidou, Antigoni, Rokka, Chrysoula, Issaris, Catherine, Haida, Catherine, Tzannis, Kimon, Sypsa, Vana, Detsika, Maria, Paraskevis, Dimitrios, Hatzakis, Angelos
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3032708/
https://www.ncbi.nlm.nih.gov/pubmed/21219667
http://dx.doi.org/10.1186/1743-422X-8-10
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author Katsoulidou, Antigoni
Rokka, Chrysoula
Issaris, Catherine
Haida, Catherine
Tzannis, Kimon
Sypsa, Vana
Detsika, Maria
Paraskevis, Dimitrios
Hatzakis, Angelos
author_facet Katsoulidou, Antigoni
Rokka, Chrysoula
Issaris, Catherine
Haida, Catherine
Tzannis, Kimon
Sypsa, Vana
Detsika, Maria
Paraskevis, Dimitrios
Hatzakis, Angelos
author_sort Katsoulidou, Antigoni
collection PubMed
description BACKGROUND: HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. METHODS: In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. RESULTS: A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) log(10 )copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 log(10 )copies/ml, respectively. Overall, differences were less than 0.5 log(10 )for 85% of the samples, and >1 log(10 )in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) log(10 )copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 log(10 )copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 log(10), while none of the samples showed a deviation of more than 1.0 log(10). CONCLUSIONS: In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems.
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spelling pubmed-30327082011-02-04 Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece Katsoulidou, Antigoni Rokka, Chrysoula Issaris, Catherine Haida, Catherine Tzannis, Kimon Sypsa, Vana Detsika, Maria Paraskevis, Dimitrios Hatzakis, Angelos Virol J Research BACKGROUND: HIV-1 is characterized by increased genetic heterogeneity which tends to hinder the reliability of detection and accuracy of HIV-1 RNA quantitation assays. METHODS: In this study, the Abbott RealTime HIV-1 (Abbott RealTime) assay was compared to the Roche Cobas TaqMan HIV-1 (Cobas TaqMan) and the Siemens Versant HIV-1 RNA 3.0 (bDNA 3.0) assays, using clinical samples of various viral load levels and subtypes from Greece, where the recent epidemiology of HIV-1 infection has been characterized by increasing genetic diversity and a marked increase in subtype A genetic strains among newly diagnosed infections. RESULTS: A high correlation was observed between the quantitative results obtained by the Abbott RealTime and the Cobas TaqMan assays. Viral load values quantified by the Abbott RealTime were on average lower than those obtained by the Cobas TaqMan, with a mean (SD) difference of -0.206 (0.298) log(10 )copies/ml. The mean differences according to HIV-1 subtypes between the two techniques for samples of subtype A, B, and non-A/non-B were 0.089, -0.262, and -0.298 log(10 )copies/ml, respectively. Overall, differences were less than 0.5 log(10 )for 85% of the samples, and >1 log(10 )in only one subtype B sample. Similarly, Abbott RealTime and bDNA 3.0 assays yielded a very good correlation of quantitative results, whereas viral load values assessed by the Abbott RealTime were on average higher (mean (SD) difference: 0.160 (0.287) log(10 )copies/ml). The mean differences according to HIV-1 subtypes between the two techniques for subtype A, B and non-A/non-B samples were 0.438, 0.105 and 0.191 log(10 )copies/ml, respectively. Overall, the majority of samples (86%) differed by less than 0.5 log(10), while none of the samples showed a deviation of more than 1.0 log(10). CONCLUSIONS: In an area of changing HIV-1 subtype pattern, the Abbott RealTime assay showed a high correlation and good agreement of results when compared both to the Cobas TaqMan and bDNA 3.0 assays, for all HIV-1 subtypes tested. All three assays could determine viral load from samples of different HIV-1 subtypes adequately. However, assay variation should be taken into account when viral load monitoring of the same individual is assessed by different systems. BioMed Central 2011-01-11 /pmc/articles/PMC3032708/ /pubmed/21219667 http://dx.doi.org/10.1186/1743-422X-8-10 Text en Copyright ©2011 Katsoulidou et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Katsoulidou, Antigoni
Rokka, Chrysoula
Issaris, Catherine
Haida, Catherine
Tzannis, Kimon
Sypsa, Vana
Detsika, Maria
Paraskevis, Dimitrios
Hatzakis, Angelos
Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
title Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
title_full Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
title_fullStr Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
title_full_unstemmed Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
title_short Comparative evaluation of the performance of the Abbott RealTime HIV-1 assay for measurement of HIV-1 plasma viral load on genetically diverse samples from Greece
title_sort comparative evaluation of the performance of the abbott realtime hiv-1 assay for measurement of hiv-1 plasma viral load on genetically diverse samples from greece
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3032708/
https://www.ncbi.nlm.nih.gov/pubmed/21219667
http://dx.doi.org/10.1186/1743-422X-8-10
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