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Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa

The global burden of disease caused by both human immunodeficiency virus (HIV) and human papillomavirus (HPV) is the greatest in the developing world, with the highest rates in sub-Saharan Africa. South African women not only have high rates of infection with HPV, but also have high rates of multipl...

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Autores principales: Dylla, Layne, Abar, Beau, Williamson, Anna-Lise, Meiring, Tracy L., Bekker, Linda-Gail, Adler, David H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920558/
https://www.ncbi.nlm.nih.gov/pubmed/29707404
http://dx.doi.org/10.5897/JAHR2017.0445
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author Dylla, Layne
Abar, Beau
Williamson, Anna-Lise
Meiring, Tracy L.
Bekker, Linda-Gail
Adler, David H.
author_facet Dylla, Layne
Abar, Beau
Williamson, Anna-Lise
Meiring, Tracy L.
Bekker, Linda-Gail
Adler, David H.
author_sort Dylla, Layne
collection PubMed
description The global burden of disease caused by both human immunodeficiency virus (HIV) and human papillomavirus (HPV) is the greatest in the developing world, with the highest rates in sub-Saharan Africa. South African women not only have high rates of infection with HPV, but also have high rates of multiple concurrent infections with two or more HPV genotypes, and are among the world’s most vulnerable to developing invasive cervical cancer. HIV co-infection increases these risks. Understanding clustering patterns of concurrent HPV infections in this population has important implications for HPV screening and will help define vaccination strategies in the future as vaccines continue to be developed to target more HPV genotypes. Latent class analysis was used to identify four distinct patterns of HPV co-infection: individuals with at least one low risk HPV genotype, but no high-risk HPV (HR-HPV) infections; individuals with a disperse pattern of HR-HPV infections; individuals infected with members of the alpha-7 group, but not HPV-18; and individuals infected with HPV-16, but not HPV-18. In this analysis, although alpha-7 HPV infections were more prevalent among HIV-infected adolescents than their HIV-uninfected counterparts, overall clustering patterns were not different based on HIV status.
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spelling pubmed-59205582018-04-27 Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa Dylla, Layne Abar, Beau Williamson, Anna-Lise Meiring, Tracy L. Bekker, Linda-Gail Adler, David H. J AIDS HIV Res Article The global burden of disease caused by both human immunodeficiency virus (HIV) and human papillomavirus (HPV) is the greatest in the developing world, with the highest rates in sub-Saharan Africa. South African women not only have high rates of infection with HPV, but also have high rates of multiple concurrent infections with two or more HPV genotypes, and are among the world’s most vulnerable to developing invasive cervical cancer. HIV co-infection increases these risks. Understanding clustering patterns of concurrent HPV infections in this population has important implications for HPV screening and will help define vaccination strategies in the future as vaccines continue to be developed to target more HPV genotypes. Latent class analysis was used to identify four distinct patterns of HPV co-infection: individuals with at least one low risk HPV genotype, but no high-risk HPV (HR-HPV) infections; individuals with a disperse pattern of HR-HPV infections; individuals infected with members of the alpha-7 group, but not HPV-18; and individuals infected with HPV-16, but not HPV-18. In this analysis, although alpha-7 HPV infections were more prevalent among HIV-infected adolescents than their HIV-uninfected counterparts, overall clustering patterns were not different based on HIV status. 2017-10-31 2017-10 /pmc/articles/PMC5920558/ /pubmed/29707404 http://dx.doi.org/10.5897/JAHR2017.0445 Text en http://creativecommons.org/licenses/by/4.0/ Author(s) agree that this article remain permanently open access under the terms of the Creative Commons Attribution License 4.0 International License
spellingShingle Article
Dylla, Layne
Abar, Beau
Williamson, Anna-Lise
Meiring, Tracy L.
Bekker, Linda-Gail
Adler, David H.
Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa
title Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa
title_full Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa
title_fullStr Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa
title_full_unstemmed Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa
title_short Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa
title_sort human papillomavirus clustering patterns among hiv-infected and hiv-uninfected adolescent females in south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920558/
https://www.ncbi.nlm.nih.gov/pubmed/29707404
http://dx.doi.org/10.5897/JAHR2017.0445
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