Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783317850369294336 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5920558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dyllalayne humanpapillomavirusclusteringpatternsamonghivinfectedandhivuninfectedadolescentfemalesinsouthafrica AT abarbeau humanpapillomavirusclusteringpatternsamonghivinfectedandhivuninfectedadolescentfemalesinsouthafrica AT williamsonannalise humanpapillomavirusclusteringpatternsamonghivinfectedandhivuninfectedadolescentfemalesinsouthafrica AT meiringtracyl humanpapillomavirusclusteringpatternsamonghivinfectedandhivuninfectedadolescentfemalesinsouthafrica AT bekkerlindagail humanpapillomavirusclusteringpatternsamonghivinfectedandhivuninfectedadolescentfemalesinsouthafrica AT adlerdavidh humanpapillomavirusclusteringpatternsamonghivinfectedandhivuninfectedadolescentfemalesinsouthafrica |