PLoS ONE (Jan 2011)

Use of a high resolution melting (HRM) assay to compare gag, pol, and env diversity in adults with different stages of HIV infection.

  • Matthew M Cousins,
  • Oliver Laeyendecker,
  • Geetha Beauchamp,
  • Ronald Brookmeyer,
  • William I Towler,
  • Sarah E Hudelson,
  • Leila Khaki,
  • Beryl Koblin,
  • Margaret Chesney,
  • Richard D Moore,
  • Gabor D Kelen,
  • Thomas Coates,
  • Connie Celum,
  • Susan P Buchbinder,
  • George R Seage,
  • Thomas C Quinn,
  • Deborah Donnell,
  • Susan H Eshleman

DOI
https://doi.org/10.1371/journal.pone.0027211
Journal volume & issue
Vol. 6, no. 11
p. e27211

Abstract

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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.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.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.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.