Objective: The vaginal flora has been reported to be associated with human papillomavirus (HPV) infection. The purpose of this study was to investigate the characteristics of the cervical microbiota in patients with HPV infection and to analyse the changes in the vaginal flora and enzyme profiles in females with HPV infection.

Methods: We conducted a cross-sectional study involving 206 participants who underwent HPV genotyping, sexually transmitted diseases pathogen testing, cytology examination, and microbiome analysis. Additionally, we collected 115 HPV-negative samples and 48 HPV-positive samples for 16S rRNA amplicon sequencing. The vaginal microbial communities of both groups were analysed for diversity and differences to explore their association with HPV infection.

Results: The abundance of was found to be reduced, while was significantly more prevalent in the HPV + group. In terms of alpha diversity indices, the Shannon index ( = .0036) and Simpson index ( = .02) were higher in the HPV + group compared to the HPV - group, indicating greater community diversity in the HPV + group. Among the 10 sexually transmitted diseases pathogens analysed, Uup3 and Uup6 were significantly associated with HPV infection. Statistically significant differences were observed in Nugent scores and bacterial vaginosis between the two groups ( < .05). In functional analysis, 11 proteins and 13 enzymes were found to be significantly altered in the HPV + group.

Conclusion: Our study demonstrates that disruptions in the vaginal flora are associated with HPV infection. Reduced levels of , increased prevalence of , and abnormal enzyme profiles are closely linked to HPV infection.

Download full-text PDF

Source
http://dx.doi.org/10.1080/01443615.2024.2361847DOI Listing

Publication Analysis

Top Keywords

hpv infection
16
vaginal flora
12
sexually transmitted
8
transmitted diseases
8
hpv
7
vaginal
4
flora hpv
4
infection
4
infection cross‑sectional
4
cross‑sectional analysis
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!