The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Association between the vaginal microbiota, menopause status, and signs of vulvovaginal atrophy
Open accessAbstract
OBJECTIVE: The vaginal microbiota helps protect the female genital tract from disease. We sought to describe the composition of the vaginal microbiota in premenopausal, perimenopausal, and postmenopausal women and to explore the association between the microbiota and vulvovaginal atrophy (VVA). METHODS: Eighty-seven women (aged 35-60 y) were classified as premenopausal (n = 30), perimenopausal (n = 29), or postmenopausal (n = 28) according to Stages of Reproductive Aging Workshop guidelines. Midvaginal bacterial community composition was characterized by 16S ribosomal RNA gene analysis. RESULTS: Bacterial communities clustered into six community state types (CSTs), of which four were dominated by Lactobacillus crispatus, Lactobacillus gasseri, Lactobacillus iners, or Lactobacillus jensenii, and two (CST IV-A and CST IV-B) had low relative abundance of Lactobacillus. CST IV-A was characterized by Streptococcus and Prevotella, whereas CST IV-B was characterized by Atopobium. There were significant associations between menopause stage and CST (P = 0.004) and between VVA and CST (P = 0.002). Perimenopausal women were more likely to be classified as CST IV-A or L. gasseri CST, whereas postmenopausal women were often classified as CST IV-A. CSTs dominated by L. crispatus and L. iners were more prevalent in premenopausal women. Nineteen participants had signs of mild or moderate VVA. Compared with women with no VVA, the vaginal microbiota of women with mild or moderate atrophy had 25-fold greater odds of being classified as CST IV-A versus L. crispatus CST (adjusted odds ratio, 25.89; 95% credible interval, 2.98-406.79). CONCLUSIONS: A distinct bacterial community state (CST IV-A) with a low relative abundance of Lactobacillus is associated with VVA. Future studies recruiting a larger number of women are needed to replicate the findings. This study provides an impetus for future longitudinal studies designed to manage, modulate, and restore vaginal microbiota homeostasis, which would provide stronger evidence for a causal relationship with VVA and ultimately improve the treatment and prevention of atrophic vaginitis in menopause.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Molecular Identification of Bacteria Associated with Bacterial Vaginosis
Fredricks, D. N., Fiedler, T. L., & Marrazzo, J. M. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043802 · Cited by 1,303
Cited by
Portman, D. J., & Gass, M. L. S. (2014) · Menopause · doi:10.1097/gme.0000000000000329 · Cited by 688
Mitra, A., MacIntyre, D. A., Marchesi, J. R., Lee, Y. S., Bennett, P. R., & Kyrgiou, M. (2016) · Microbiome · doi:10.1186/s40168-016-0203-0 · Cited by 484
Menstruation: science and society
Critchley, H. O. D., Babayev, E., Bulun, S. E., Clark, S., Garcia-Grau, I., Gregersen, P. K., Kilcoyne, A., Kim, J.-Y. J., Lavender, M., Marsh, E. E., et al. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.06.004 · Cited by 448
The vaginal microbiota, host defence and reproductive physiology
Smith, S. B., & Ravel, J. (2017) · The Journal of Physiology · doi:10.1113/jp271694 · Cited by 441
Self-citationFrance, M. T., Ma, B., Gajer, P., Brown, S., Humphrys, M. S., Holm, J. B., Waetjen, L. E., Brotman, R. M., & Ravel, J. (2020) · Microbiome · doi:10.1186/s40168-020-00934-6 · Cited by 441
Self-citation
Metadata
- Authors
- Brotman, R. M., Shardell, M. D., Gajer, P., Fadrosh, D., Chang, K., Silver, M. I., Viscidi, R. P., Burke, A. E., Ravel, J., & Gravitt, P. E.
- Venue
- Menopause
- Published
- 2014-05
- Volume
- 21
- Issue
- 5
- Pages
- 450-458
- ISSN
- 1072-3714 (ISSN-L)
- OpenAlex
- W1968040003
- Cited by
- 391
- References
- 1
- FWCI
- 11.31
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Association between the vaginal microbiota, menopause status, and signs of vulvovaginal atrophy. https://app.cochat.ai/papers/10.1097/gme.0b013e3182a4690b
- The paper
- Brotman, R. M., Shardell, M. D., Gajer, P., Fadrosh, D., Chang, K., Silver, M. I., Viscidi, R. P., Burke, A. E., Ravel, J., & Gravitt, P. E. (2014). Association between the vaginal microbiota, menopause status, and signs of vulvovaginal atrophy. Menopause. https://doi.org/10.1097/gme.0b013e3182a4690b
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.