Differential sexual network connectivity offers a parsimonious explanation for population-level variations in the prevalence of bacterial vaginosis: a data-driven, model-supported hypothesis.
Bacterial vaginosis
Concurrency
HIV
Microbiome
STI
Sexual network connectivity
Journal
BMC women's health
ISSN: 1472-6874
Titre abrégé: BMC Womens Health
Pays: England
ID NLM: 101088690
Informations de publication
Date de publication:
10 01 2019
10 01 2019
Historique:
received:
18
06
2018
accepted:
20
12
2018
entrez:
12
1
2019
pubmed:
12
1
2019
medline:
20
6
2019
Statut:
epublish
Résumé
The prevalence of bacterial vaginosis (BV) and vaginal microbiota types varies dramatically between different populations around the world. Understanding what underpins these differences is important, as high-diversity microbiotas associated with BV are implicated in adverse pregnancy outcomes and enhanced susceptibility to and transmission of sexually transmitted infections. We hypothesize that these variations in the vaginal microbiota can, in part, be explained by variations in the connectivity of sexual networks. We argue: 1) Couple-level data suggest that BV-associated bacteria can be sexually transmitted and hence high sexual network connectivity would be expected to promote the spread of BV-associated bacteria. Epidemiological studies have found positive associations between indicators of network connectivity and the prevalence of BV; 2) The relationship between BV prevalence and STI incidence/prevalence can be parsimoniously explained by differential network connectivity; 3) Studies from other mammals are generally supportive of the association between network connectivity and high-diversity vaginal microbiota. To test this hypothesis, we propose a combination of empirical and simulation-based study designs.
Sections du résumé
BACKGROUND
The prevalence of bacterial vaginosis (BV) and vaginal microbiota types varies dramatically between different populations around the world. Understanding what underpins these differences is important, as high-diversity microbiotas associated with BV are implicated in adverse pregnancy outcomes and enhanced susceptibility to and transmission of sexually transmitted infections.
MAIN TEXT
We hypothesize that these variations in the vaginal microbiota can, in part, be explained by variations in the connectivity of sexual networks. We argue: 1) Couple-level data suggest that BV-associated bacteria can be sexually transmitted and hence high sexual network connectivity would be expected to promote the spread of BV-associated bacteria. Epidemiological studies have found positive associations between indicators of network connectivity and the prevalence of BV; 2) The relationship between BV prevalence and STI incidence/prevalence can be parsimoniously explained by differential network connectivity; 3) Studies from other mammals are generally supportive of the association between network connectivity and high-diversity vaginal microbiota.
CONCLUSION
To test this hypothesis, we propose a combination of empirical and simulation-based study designs.
Identifiants
pubmed: 30630481
doi: 10.1186/s12905-018-0703-0
pii: 10.1186/s12905-018-0703-0
pmc: PMC6327541
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
8Subventions
Organisme : NIAID NIH HHS
ID : R01 AI116799
Pays : United States
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