南非感染艾滋病毒和未感染艾滋病毒的青春期女性的人乳头瘤病毒聚集模式。

Journal of AIDS and HIV research (Online) Pub Date : 2017-10-01 Epub Date: 2017-10-31 DOI:10.5897/JAHR2017.0445
Layne Dylla, Beau Abar, Anna-Lise Williamson, Tracy L Meiring, Linda-Gail Bekker, David H Adler
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引用次数: 5

摘要

由人类免疫缺陷病毒(艾滋病毒)和人类乳头瘤病毒(HPV)引起的全球疾病负担在发展中世界最大,在撒哈拉以南非洲的发病率最高。南非妇女不仅感染HPV的比例很高,而且同时感染两种或两种以上HPV基因型的比例也很高,是世界上最容易发展为侵袭性宫颈癌的国家之一。艾滋病毒合并感染增加了这些风险。了解这一人群中并发HPV感染的聚类模式对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。潜在分类分析用于确定HPV合并感染的四种不同模式:至少有一种低风险HPV基因型,但没有高风险HPV (HR-HPV)感染;人乳头瘤病毒感染分散分布的个体;感染了α -7组成员,但没有感染HPV-18的个体;以及感染HPV-16但不感染HPV-18的个体。在这一分析中,尽管α -7型HPV感染在感染艾滋病毒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因艾滋病毒感染状况而有所不同。
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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 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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