Viruses (Jul 2022)

Evaluation of the HIV-1 Polymerase Gene Sequence Diversity for Prediction of Recent HIV-1 Infections Using Shannon Entropy Analysis

  • Paballo Nkone,
  • Shayne Loubser,
  • Thomas C. Quinn,
  • Andrew D. Redd,
  • Oliver Laeyendecker,
  • Caroline T. Tiemessen,
  • Simnikiwe H. Mayaphi

DOI
https://doi.org/10.3390/v14071587
Journal volume & issue
Vol. 14, no. 7
p. 1587

Abstract

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HIV-1 incidence is an important parameter for assessing the impact of HIV-1 interventions. The aim of this study was to evaluate HIV-1 polymerase (pol) gene sequence diversity for the prediction of recent HIV-1 infections. Complete pol Sanger sequences obtained from 45 participants confirmed to have recent or chronic HIV-1 infection were used. Shannon entropy was calculated for amino acid (aa) sequences for the entire pol and for sliding windows consisting of 50 aa each. Entropy scores for the complete HIV-1 pol were significantly higher in chronic compared to recent HIV-1 infections (p p-values ranging from 0.011 to pol-based molecular method identified in this study would not be ideal for use on its own due to high FRR; however, this method could be considered for complementing existing serological assays to further reduce FRR.

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