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Cited by 249

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The aetiology of bacterial vaginosis

Open access
Turovskiy, Y., Sutyak Noll, K., Chikindas, M.L.·2011·Journal of Applied Microbiology

Abstract

Bacterial vaginosis (BV) is the most common vaginal infection among women of childbearing age. This condition is notorious for causing severe complications related to the reproductive health of women. Five decades of intense research established many risk factors for acquisition of BV; however, because of the complexity of BV and lack of a reliable animal model for this condition, its exact aetiology remains elusive. In this manuscript, we use a historical perspective to critically review the development of major theories on the aetiology of BV, ultimately implicating BV-related pathogens, healthy vaginal microbiota, bacteriophages and the immune response of the host. None of these theories on their own can reliably explain the epidemiological data. Instead, BV is caused by a complex interaction of multiple factors, which include the numerous components of the vaginal microbial ecosystem and their human host. Many of these factors are yet to be characterized because a clear understanding of their relative contribution to the aetiology of BV is pivotal to the formulation of an effective treatment for and prophylaxis of this condition.

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Crossref · 10.1111/j.1365-2672.2011.04977.x

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Metadata

Authors
Turovskiy, Y., Sutyak Noll, K., & Chikindas, M. L.
Venue
Journal of Applied Microbiology
Published
2011-03-14
Volume
110
Issue
5
Pages
1105-1128
ISSN
1364-5072 (ISSN-L)
OpenAlex
W2138791442
Cited by
249
References
2
FWCI
11.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The aetiology of bacterial vaginosis. https://app.cochat.ai/papers/10.1111/j.1365-2672.2011.04977.x
The paper
Turovskiy, Y., Sutyak Noll, K., & Chikindas, M. L. (2011). The aetiology of bacterial vaginosis. Journal of Applied Microbiology. https://doi.org/10.1111/j.1365-2672.2011.04977.x

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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.