ArticleVirology journal2020
Temporal changes in the vaginal microbiota in self-samples and its association with persistent HPV16 infection and CIN2.
Article in Virology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Vaginal Microbial Risk Factors Associated with Human Papillomavirus-Induced Cervical Intraepithelial Neoplasia: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Dynamic, transition and variation of cervicovaginal microbiome and HPV infection and cervical dysplasia and cancer: a systematic review.Infectious agents and cancer · 2026Review
- The interplay between HPV, vaginal microbiota and host immunity in cervical carcinogenesis.Discover oncology · 2026Review
- Integrated cross-sectional study and functional validation indicate the association of lactobacillus crispatus-derived D-lactic acid with cervical gene expression and precancerous cervical lesions.Journal of translational medicine · 2026Article
- Cervical cancer patients' vaginal microbiome and metabolites: research progress and clinical applications.Frontiers in microbiology · 2026Review
- Vaginal Microecological Imbalance, Human Papillomavirus Infection, and Cervical Carcinogenesis: Mechanisms and Clinical Implications.International journal of general medicine · 2026Review
- Article
- QIIME2 enhances multi-amplicon sequencing data analysis: a standardized and validated open-source pipeline for comprehensive 16S rRNA gene profiling.Microbiology spectrum · 2025Article
- Article
- Inferred bi-directional interactions between vaginal microbiota, metabolome and persistent HPV infection accompanied by high-grade cervical intraepithelial neoplasia.BMC microbiology · 2025Article
- Review
- Incidence of cervical intraepithelial neoplasia and cervical cancer in transmasculine and gender diverse individuals using testosterone: a retrospective, single-centre cohort study.EClinicalMedicine · 2025Article
- Review
- Cervical microbiota dysbiosis associated with high-risk Human Papillomavirus infection.PloS one · 2024Article
- Article
- High-risk human papillomavirus prevalence among South African women diagnosed with other STIs and BV.PloS one · 2023Article
- Cervicovaginal cytology, HPV testing and vaginal flora in transmasculine persons receiving testosterone.Diagnostic cytopathology · 2022Article
- Role of Immunity and Vaginal Microbiome in Clearance and Persistence of Human Papillomavirus Infection.Frontiers in cellular and infection microbiology · 2022Review
- Age-Stratified Analysis of Vaginal Microbiota Dysbiosis and the Relationship with HPV Viral Load in HPV-Positive Women.Journal of immunology research · 2022Article
- Roles of vaginal flora in human papillomavirus infection, virus persistence and clearance.Frontiers in cellular and infection microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe vaginal microbiota has been reported to be associated with HPV infection and cervical cancer. This study was performed to compare the vaginal microbiota at two timepoints in women performing self-sampling and had a persistent or transient HPV16 infection. The women were tested for 12 high-risk HPV (hrHPV) types but only women with single type (HPV16) were included to reduce confounding variables.
methodsIn total 96 women were included in this study. Of these, 26 were single positive for HPV16 in the baseline test and HPV negative in the follow-up test and 38 were single positive for HPV16 in both tests and diagnosed with CIN2+ in histology. In addition, 32 women that were negative for all 12 HPV tested were included. The samples of vaginal fluid were analyzed with the Ion 16S™ Metagenomics Kit and Ion 16S™ metagenomics module within the Ion Reporter™ software.
resultsK-means clustering resulted in two Lactobacillus-dominated groups, one with Lactobacillus sp. and the other specifically with Lactobacillus iners. The two remaining clusters were dominated by a mixed non-Lactobacillus microbiota. HPV negative women had lower prevalence (28%) of the non-Lactobacill dominant cluster in the baseline test, as compared to women with HPV16 infection (42%) (p value = 0.0173). Transition between clusters were more frequent in women with persistent HPV16 infection (34%) as compared in women who cleared the HPV16 infection (19%) (p value = 0.036).
conclusionsThe vaginal microbiota showed a higher rate of transitioning between bacterial profiles in women with persistent HPV16 infection as compared to women with transient infection. This indicate an instability in the microenvironment in women with persistent HPV infection and development of CIN2+.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.