Sequence ambiguity determined from routine pol sequencing is a reliable tool for real-time surveillance of HIV incidence trends.


Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
04 2019
Historique:
received: 31 10 2018
revised: 09 01 2019
accepted: 13 01 2019
pubmed: 27 1 2019
medline: 16 1 2020
entrez: 26 1 2019
Statut: ppublish

Résumé

Identifying individuals recently infected with HIV has been of great significance for close monitoring of HIV epidemic dynamics. Low HIV sequence ambiguity (SA) has been described as a promising marker of recent infection in previous studies. This study explores the utility of SA defined as a proportion of ambiguous nucleotides detected in baseline pol sequences as a tool for routine real-time surveillance of HIV incidence trends at a national level. A total of 353 partial HIV-1 pol sequences obtained from persons diagnosed with HIV infection in Slovenia from 2000 to 2012 were studied, and SA was reported as a percentage of ambiguous base calls. Patients were characterized as recently infected by examining anti-HIV serological patterns and/or using commercial HIV-1 incidence assays (BED and/or LAg-Avidity assay). A mean SA of 0.29%, 0.14%, and 0.19% was observed for infections classified as recent by BED, LAg, or anti-HIV serological results, respectively. Welch's t-test showed a significant difference in the SA of recent versus long-standing infections (p < 0.001). CD4+ T-cell counts ≤250 cells/mm

Identifiants

pubmed: 30682549
pii: S1567-1348(18)30824-4
doi: 10.1016/j.meegid.2019.01.015
pii:
doi:

Substances chimiques

pol Gene Products, Human Immunodeficiency Virus 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146-152

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Auteurs

Maja M Lunar (MM)

Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, Ljubljana 1105, Slovenia.

Snježana Židovec Lepej (S)

Dr. Fran Mihaljevič University Hospital for Infectious Diseases, Mirogojska 8, Zagreb 10000, Croatia.

Mario Poljak (M)

Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, Ljubljana 1105, Slovenia. Electronic address: mario.poljak@mf.uni-lj.si.

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Classifications MeSH