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Prevalence and genotype distribution of HPV infection among women in Xiamen, China

OBJECTIVE: This study aimed to evaluate the prevalence of HPV and genotype distribution among female populations in Xiamen, Fujian Province, China, which can be conducive for local governments to formulate cervical cancer screening and HPV vaccine strategies. METHODS: Cervical swabs were collected f...

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Autores principales: Shen, Ye, Huang, Yanru, Wang, Wenbo, Zhang, Jian, Chen, Xiaolu, Zhang, Lutan, Huang, Xiaomei, Ge, Yunsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265632/
https://www.ncbi.nlm.nih.gov/pubmed/37323886
http://dx.doi.org/10.3389/fmicb.2023.1130226
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author Shen, Ye
Huang, Yanru
Wang, Wenbo
Zhang, Jian
Chen, Xiaolu
Zhang, Lutan
Huang, Xiaomei
Ge, Yunsheng
author_facet Shen, Ye
Huang, Yanru
Wang, Wenbo
Zhang, Jian
Chen, Xiaolu
Zhang, Lutan
Huang, Xiaomei
Ge, Yunsheng
author_sort Shen, Ye
collection PubMed
description OBJECTIVE: This study aimed to evaluate the prevalence of HPV and genotype distribution among female populations in Xiamen, Fujian Province, China, which can be conducive for local governments to formulate cervical cancer screening and HPV vaccine strategies. METHODS: Cervical swabs were collected from 47,926 participants aged 16–92 years at the Women and Children’s Hospital, Xiamen University, from November 2019 to June 2020. HPV DNA was extracted and detected using conventional PCR, followed by HPV subtype-specific hybridisation. HPV infection rates based on different groups were compared using the χ(2) test. HPV prevalence and the corresponding 95% confidence intervals (95% CI) were calculated using SPSS 19.0. RESULTS: The overall HPV prevalence among the 47,926 cervical swabs that were analysed was 15.13%, of which single, double, and multiple infections accounted for 76.83, 16.70 and 6.47%, respectively. The age-specific prevalence of HPV infection presented a “U” curve with a HPV prevalence peak observed in women aged <20 years. The gynaecology clinic group had significantly higher HPV positive rates than the health examination group (p < 0.001). The five most common HR-HPV subtypes in Xiamen were HPV52, 58, 16, 51, and 39 (2.69, 1.63, 1.23, 1.05, and 0.98%, respectively). The five most common LR-HPV subtypes were HPV54, 61, 81, 70, 34, and 84 (0.92, 0.86, 0.71, 0.45 and 0.35%, respectively). CONCLUSION: Our findings demonstrate that the 9-valent HPV vaccine is recommended for regular immunisation in Xiamen. It is necessary for elderly women to participate in HPV screening to decrease the morbidity and mortality of cervical cancer.
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spelling pubmed-102656322023-06-15 Prevalence and genotype distribution of HPV infection among women in Xiamen, China Shen, Ye Huang, Yanru Wang, Wenbo Zhang, Jian Chen, Xiaolu Zhang, Lutan Huang, Xiaomei Ge, Yunsheng Front Microbiol Microbiology OBJECTIVE: This study aimed to evaluate the prevalence of HPV and genotype distribution among female populations in Xiamen, Fujian Province, China, which can be conducive for local governments to formulate cervical cancer screening and HPV vaccine strategies. METHODS: Cervical swabs were collected from 47,926 participants aged 16–92 years at the Women and Children’s Hospital, Xiamen University, from November 2019 to June 2020. HPV DNA was extracted and detected using conventional PCR, followed by HPV subtype-specific hybridisation. HPV infection rates based on different groups were compared using the χ(2) test. HPV prevalence and the corresponding 95% confidence intervals (95% CI) were calculated using SPSS 19.0. RESULTS: The overall HPV prevalence among the 47,926 cervical swabs that were analysed was 15.13%, of which single, double, and multiple infections accounted for 76.83, 16.70 and 6.47%, respectively. The age-specific prevalence of HPV infection presented a “U” curve with a HPV prevalence peak observed in women aged <20 years. The gynaecology clinic group had significantly higher HPV positive rates than the health examination group (p < 0.001). The five most common HR-HPV subtypes in Xiamen were HPV52, 58, 16, 51, and 39 (2.69, 1.63, 1.23, 1.05, and 0.98%, respectively). The five most common LR-HPV subtypes were HPV54, 61, 81, 70, 34, and 84 (0.92, 0.86, 0.71, 0.45 and 0.35%, respectively). CONCLUSION: Our findings demonstrate that the 9-valent HPV vaccine is recommended for regular immunisation in Xiamen. It is necessary for elderly women to participate in HPV screening to decrease the morbidity and mortality of cervical cancer. Frontiers Media S.A. 2023-05-30 /pmc/articles/PMC10265632/ /pubmed/37323886 http://dx.doi.org/10.3389/fmicb.2023.1130226 Text en Copyright © 2023 Shen, Huang, Wang, Zhang, Chen, Zhang, Huang and Ge. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Shen, Ye
Huang, Yanru
Wang, Wenbo
Zhang, Jian
Chen, Xiaolu
Zhang, Lutan
Huang, Xiaomei
Ge, Yunsheng
Prevalence and genotype distribution of HPV infection among women in Xiamen, China
title Prevalence and genotype distribution of HPV infection among women in Xiamen, China
title_full Prevalence and genotype distribution of HPV infection among women in Xiamen, China
title_fullStr Prevalence and genotype distribution of HPV infection among women in Xiamen, China
title_full_unstemmed Prevalence and genotype distribution of HPV infection among women in Xiamen, China
title_short Prevalence and genotype distribution of HPV infection among women in Xiamen, China
title_sort prevalence and genotype distribution of hpv infection among women in xiamen, china
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265632/
https://www.ncbi.nlm.nih.gov/pubmed/37323886
http://dx.doi.org/10.3389/fmicb.2023.1130226
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