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Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana
BACKGROUND: Cross-sectional, biomarker methods to determine HIV infection recency present a promising and cost-effective alternative to the repeated testing of uninfected individuals. We evaluate a viral-based assay that uses a measure of pairwise distances (PwD) to identify HIV infection recency, a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994946/ https://www.ncbi.nlm.nih.gov/pubmed/27552218 http://dx.doi.org/10.1371/journal.pone.0160649 |
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author | Moyo, Sikhulile Vandormael, Alain Wilkinson, Eduan Engelbrecht, Susan Gaseitsiwe, Simani Kotokwe, Kenanao P. Musonda, Rosemary Tanser, Frank Essex, Max Novitsky, Vladimir de Oliveira, Tulio |
author_facet | Moyo, Sikhulile Vandormael, Alain Wilkinson, Eduan Engelbrecht, Susan Gaseitsiwe, Simani Kotokwe, Kenanao P. Musonda, Rosemary Tanser, Frank Essex, Max Novitsky, Vladimir de Oliveira, Tulio |
author_sort | Moyo, Sikhulile |
collection | PubMed |
description | BACKGROUND: Cross-sectional, biomarker methods to determine HIV infection recency present a promising and cost-effective alternative to the repeated testing of uninfected individuals. We evaluate a viral-based assay that uses a measure of pairwise distances (PwD) to identify HIV infection recency, and compare its performance with two serologic incidence assays, BED and LAg. In addition, we assess whether combination BED plus PwD or LAg plus PwD screening can improve predictive accuracy by reducing the likelihood of a false-recent result. METHODS: The data comes from 854 time-points and 42 participants enrolled in a primary HIV-1C infection study in Botswana. Time points after treatment initiation or with evidence of multiplicity of infection were excluded from the final analysis. PwD was calculated from quasispecies generated using single genome amplification and sequencing. We evaluated the ability of PwD to correctly classify HIV infection recency within <130, <180 and <360 days post-seroconversion using Receiver Operator Characteristics (ROC) methods. Following a secondary PwD screening, we quantified the reduction in the relative false-recency rate (rFRR) of the BED and LAg assays while maintaining a sensitivity of either 75, 80, 85 or 90%. RESULTS: The final analytic sample consisted of 758 time-points from 40 participants. The PwD assay was more accurate in classifying infection recency for the 130 and 180-day cut-offs when compared with the recommended LAg and BED thresholds. A higher AUC statistic confirmed the superior predictive performance of the PwD assay for the three cut-offs. When used for combination screening, the PwD assay reduced the rFRR of the LAg assay by 52% and the BED assay by 57.8% while maintaining a 90% sensitivity for the 130 and 180-day cut-offs respectively. CONCLUSION: PwD can accurately determine HIV infection recency. A secondary PwD screening reduces misclassification and increases the accuracy of serologic-based assays. |
format | Online Article Text |
id | pubmed-4994946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49949462016-09-12 Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana Moyo, Sikhulile Vandormael, Alain Wilkinson, Eduan Engelbrecht, Susan Gaseitsiwe, Simani Kotokwe, Kenanao P. Musonda, Rosemary Tanser, Frank Essex, Max Novitsky, Vladimir de Oliveira, Tulio PLoS One Research Article BACKGROUND: Cross-sectional, biomarker methods to determine HIV infection recency present a promising and cost-effective alternative to the repeated testing of uninfected individuals. We evaluate a viral-based assay that uses a measure of pairwise distances (PwD) to identify HIV infection recency, and compare its performance with two serologic incidence assays, BED and LAg. In addition, we assess whether combination BED plus PwD or LAg plus PwD screening can improve predictive accuracy by reducing the likelihood of a false-recent result. METHODS: The data comes from 854 time-points and 42 participants enrolled in a primary HIV-1C infection study in Botswana. Time points after treatment initiation or with evidence of multiplicity of infection were excluded from the final analysis. PwD was calculated from quasispecies generated using single genome amplification and sequencing. We evaluated the ability of PwD to correctly classify HIV infection recency within <130, <180 and <360 days post-seroconversion using Receiver Operator Characteristics (ROC) methods. Following a secondary PwD screening, we quantified the reduction in the relative false-recency rate (rFRR) of the BED and LAg assays while maintaining a sensitivity of either 75, 80, 85 or 90%. RESULTS: The final analytic sample consisted of 758 time-points from 40 participants. The PwD assay was more accurate in classifying infection recency for the 130 and 180-day cut-offs when compared with the recommended LAg and BED thresholds. A higher AUC statistic confirmed the superior predictive performance of the PwD assay for the three cut-offs. When used for combination screening, the PwD assay reduced the rFRR of the LAg assay by 52% and the BED assay by 57.8% while maintaining a 90% sensitivity for the 130 and 180-day cut-offs respectively. CONCLUSION: PwD can accurately determine HIV infection recency. A secondary PwD screening reduces misclassification and increases the accuracy of serologic-based assays. Public Library of Science 2016-08-23 /pmc/articles/PMC4994946/ /pubmed/27552218 http://dx.doi.org/10.1371/journal.pone.0160649 Text en © 2016 Moyo 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 Moyo, Sikhulile Vandormael, Alain Wilkinson, Eduan Engelbrecht, Susan Gaseitsiwe, Simani Kotokwe, Kenanao P. Musonda, Rosemary Tanser, Frank Essex, Max Novitsky, Vladimir de Oliveira, Tulio Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana |
title | Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana |
title_full | Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana |
title_fullStr | Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana |
title_full_unstemmed | Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana |
title_short | Analysis of Viral Diversity in Relation to the Recency of HIV-1C Infection in Botswana |
title_sort | analysis of viral diversity in relation to the recency of hiv-1c infection in botswana |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994946/ https://www.ncbi.nlm.nih.gov/pubmed/27552218 http://dx.doi.org/10.1371/journal.pone.0160649 |
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