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

Human papillomavirus clustering patterns among HIV-infected and HIV-uninfected adolescent females in South Africa.
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DOI:
10.5897/jahr2017.0445
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发表时间:
2017-10-01
期刊:
Journal of AIDS and HIV research (Online)
影响因子:
--
通讯作者:
Adler, David H
Adler, David H
中科院分区:
其他
文献类型:
--
作者:
Dylla, Layne;Abar, Beau;Adler, David H

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人类免疫缺陷病毒(艾滋病毒)和人类乳头瘤病毒(HPV)造成的全球疾病负担在发展中世界最大,撒哈拉以南非洲的发病率最高。南非妇女不仅HPV感染率高,而且两种或两种以上HPV基因型的多重并发感染率也很高,是世界上最容易患浸润性宫颈癌的国家之一。艾滋病毒合并感染增加了这些风险。了解该人群中并发HPV感染的聚集模式对HPV筛查具有重要意义,并将有助于确定未来的疫苗接种策略,因为疫苗将继续开发以针对更多的HPV基因型。潜在类别分析用于确定HPV合并感染的四种不同模式:具有至少一种低风险HPV基因型但没有高危HPV(HR-HPV)感染的个体;具有分散HR-HPV感染模式的个体;感染α-7组成员但不是HPV-18的个体;以及感染HPV-16但不是HPV-18的个体。在这项分析中,虽然α-7 HPV感染在艾滋病毒感染的青少年中比未感染艾滋病毒的青少年更普遍,但总体聚类模式并没有根据艾滋病毒状态而有所不同。
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.