ArticlemSphere2022
Impacts of Menstruation, Community Type, and an Oral Yeast Probiotic on the Vaginal Microbiome.
Article in mSphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 22 citations in OpenAlex.
- Trial
- Population‑Specific Diversity of Dominant VaginalInternational journal of women's health · 2026Article
- The vital role of Lactobacillus sp. in vaginal health: Implications for enhanced prophylactic research.Probiotics and antimicrobial proteins · 2026Review
- Microbiome impacts quality of life in patients with endometrial cancer and benign gynecological conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Dietary Influence on Bacterial Vaginosis.Cureus · 2025Review
- Through thick and thin: The vaginal microbiome as both occupant and healer.PLoS pathogens · 2025Article
- Exploring vaginal microbiome: from traditional methods to metagenomic next-generation sequencing-a systematic review.Frontiers in microbiology · 2025Review
- Vaginal microbiota and gynecological cancers: a complex and evolving relationship.Infectious agents and cancer · 2024Review
- Characteristics of Vaginal Microbiota of Women of Reproductive Age with Infections.Microorganisms · 2024Article
- Multifactorial inhibition of Candida albicans by combinations of lactobacilli and probiotic Saccharomyces cerevisiae CNCM I-3856.Scientific reports · 2024Article
- Cervicovaginal microbiota: a promising direction for prevention and treatment in cervical cancer.Infectious agents and cancer · 2024Review
- Interactions between microbiota and cervical epithelial, immune, and mucus barrier.Frontiers in cellular and infection microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A healthy state of the vaginal microbiome can prevent vaginal disease and promote successful fertilization and healthy pregnancies. Little is known about the stability of the vaginal microbiome and the influence of factors such as diet and probiotics. While less explored, yeast probiotics have an interesting potential because of their immunomodulatory and pathogen inhibition capacities. In this study, we investigated the impact of the oral yeast probiotic Saccharomyces cerevisiae CNCM I-3856 on the vaginal microbiomes of 52 healthy women using 16S and internal transcribed spacer (ITS) amplicon sequencing and quantitative PCR (qPCR). The vaginal fungal loads remained low, even after oral yeast supplementation, complicating the analysis of the vaginal mycobiome. Lactobacillus crispatus and Lactobacillus iners were the most dominant species in our study population and were found to codominate in 23% of the baseline samples.
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.