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Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection

BACKGROUND: Cross-sectional assessment of HIV incidence relies on laboratory methods to discriminate between recent and non-recent HIV infection. Because HIV diversifies over time in infected individuals, HIV diversity may serve as a biomarker for assessing HIV incidence. We used a high resolution m...

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Autores principales: Cousins, Matthew M., Laeyendecker, Oliver, Beauchamp, Geetha, Brookmeyer, Ronald, Towler, William I., Hudelson, Sarah E., Khaki, Leila, Koblin, Beryl, Chesney, Margaret, Moore, Richard D., Kelen, Gabor D., Coates, Thomas, Celum, Connie, Buchbinder, Susan P., Seage, George R., Quinn, Thomas C., Donnell, Deborah, Eshleman, Susan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3206918/
https://www.ncbi.nlm.nih.gov/pubmed/22073290
http://dx.doi.org/10.1371/journal.pone.0027211
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author Cousins, Matthew M.
Laeyendecker, Oliver
Beauchamp, Geetha
Brookmeyer, Ronald
Towler, William I.
Hudelson, Sarah E.
Khaki, Leila
Koblin, Beryl
Chesney, Margaret
Moore, Richard D.
Kelen, Gabor D.
Coates, Thomas
Celum, Connie
Buchbinder, Susan P.
Seage, George R.
Quinn, Thomas C.
Donnell, Deborah
Eshleman, Susan H.
author_facet Cousins, Matthew M.
Laeyendecker, Oliver
Beauchamp, Geetha
Brookmeyer, Ronald
Towler, William I.
Hudelson, Sarah E.
Khaki, Leila
Koblin, Beryl
Chesney, Margaret
Moore, Richard D.
Kelen, Gabor D.
Coates, Thomas
Celum, Connie
Buchbinder, Susan P.
Seage, George R.
Quinn, Thomas C.
Donnell, Deborah
Eshleman, Susan H.
author_sort Cousins, Matthew M.
collection PubMed
description BACKGROUND: Cross-sectional assessment of HIV incidence relies on laboratory methods to discriminate between recent and non-recent HIV infection. Because HIV diversifies over time in infected individuals, HIV diversity may serve as a biomarker for assessing HIV incidence. We used a high resolution melting (HRM) diversity assay to compare HIV diversity in adults with different stages of HIV infection. This assay provides a single numeric HRM score that reflects the level of genetic diversity of HIV in a sample from an infected individual. METHODS: HIV diversity was measured in 203 adults: 20 with acute HIV infection (RNA positive, antibody negative), 116 with recent HIV infection (tested a median of 189 days after a previous negative HIV test, range 14–540 days), and 67 with non-recent HIV infection (HIV infected >2 years). HRM scores were generated for two regions in gag, one region in pol, and three regions in env. RESULTS: Median HRM scores were higher in non-recent infection than in recent infection for all six regions tested. In multivariate models, higher HRM scores in three of the six regions were independently associated with non-recent HIV infection. CONCLUSIONS: The HRM diversity assay provides a simple, scalable method for measuring HIV diversity. HRM scores, which reflect the genetic diversity in a viral population, may be useful biomarkers for evaluation of HIV incidence, particularly if multiple regions of the HIV genome are examined.
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spelling pubmed-32069182011-11-09 Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection Cousins, Matthew M. Laeyendecker, Oliver Beauchamp, Geetha Brookmeyer, Ronald Towler, William I. Hudelson, Sarah E. Khaki, Leila Koblin, Beryl Chesney, Margaret Moore, Richard D. Kelen, Gabor D. Coates, Thomas Celum, Connie Buchbinder, Susan P. Seage, George R. Quinn, Thomas C. Donnell, Deborah Eshleman, Susan H. PLoS One Research Article BACKGROUND: Cross-sectional assessment of HIV incidence relies on laboratory methods to discriminate between recent and non-recent HIV infection. Because HIV diversifies over time in infected individuals, HIV diversity may serve as a biomarker for assessing HIV incidence. We used a high resolution melting (HRM) diversity assay to compare HIV diversity in adults with different stages of HIV infection. This assay provides a single numeric HRM score that reflects the level of genetic diversity of HIV in a sample from an infected individual. METHODS: HIV diversity was measured in 203 adults: 20 with acute HIV infection (RNA positive, antibody negative), 116 with recent HIV infection (tested a median of 189 days after a previous negative HIV test, range 14–540 days), and 67 with non-recent HIV infection (HIV infected >2 years). HRM scores were generated for two regions in gag, one region in pol, and three regions in env. RESULTS: Median HRM scores were higher in non-recent infection than in recent infection for all six regions tested. In multivariate models, higher HRM scores in three of the six regions were independently associated with non-recent HIV infection. CONCLUSIONS: The HRM diversity assay provides a simple, scalable method for measuring HIV diversity. HRM scores, which reflect the genetic diversity in a viral population, may be useful biomarkers for evaluation of HIV incidence, particularly if multiple regions of the HIV genome are examined. Public Library of Science 2011-11-02 /pmc/articles/PMC3206918/ /pubmed/22073290 http://dx.doi.org/10.1371/journal.pone.0027211 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Cousins, Matthew M.
Laeyendecker, Oliver
Beauchamp, Geetha
Brookmeyer, Ronald
Towler, William I.
Hudelson, Sarah E.
Khaki, Leila
Koblin, Beryl
Chesney, Margaret
Moore, Richard D.
Kelen, Gabor D.
Coates, Thomas
Celum, Connie
Buchbinder, Susan P.
Seage, George R.
Quinn, Thomas C.
Donnell, Deborah
Eshleman, Susan H.
Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection
title Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection
title_full Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection
title_fullStr Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection
title_full_unstemmed Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection
title_short Use of a High Resolution Melting (HRM) Assay to Compare Gag, Pol, and Env Diversity in Adults with Different Stages of HIV Infection
title_sort use of a high resolution melting (hrm) assay to compare gag, pol, and env diversity in adults with different stages of hiv infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3206918/
https://www.ncbi.nlm.nih.gov/pubmed/22073290
http://dx.doi.org/10.1371/journal.pone.0027211
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