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Performance of V3-based HIV-1 sero subtyping in HIV endemic areas.

Overview of attention for article published in Annali dell'Istituto Superiore di Sanità, January 2011
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Title
Performance of V3-based HIV-1 sero subtyping in HIV endemic areas.
Published in
Annali dell'Istituto Superiore di Sanità, January 2011
DOI 10.4415/ann_11_04_15
Pubmed ID
Authors

Lara Tavoschi, Daniela Bernasconi, Michele Chiappi, Barbara Suligoi, Claudio Galli, Vincenza Regine, Cissy Kityo, Stefano Buttò

Abstract

HIV-1 serosubtyping based on reactivity to peptides from the V3 region of gp120 is a low-cost and easy to perform procedure often used in geographical areas with high prevalence and incidence of HIV infection. We evaluated the performance of V3-based serotyping on 148 sera from 118 HIV-1-infected individuals living in Uganda, with estimated dates of seroconversion. Of the 148 tested samples, 68 (46.0%) specifically reacted with only one of the V3 peptides included in the test (SP), 64 (43.2%) did not react with any peptide (NR) and 16 (10.8%) reacted with two or more peptides (CR). According to the estimated seroconversion date, the large majority of samples collected early after infection belonged to the NR group. These samples had also a low Avidity Index. In contrast, samples collected later after infection belonged mainly to CR and SP groups and had also a higher avidity index. These results indicate that the performance of V3-based assays depends on maturation of HIV-specific immune response and can be significantly lowered when these tests are carried out on specimens collected from recently infected individuals.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Unknown 10 59%
Readers by discipline Count As %
Medicine and Dentistry 2 12%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Social Sciences 1 6%
Economics, Econometrics and Finance 1 6%
Other 0 0%
Unknown 11 65%