TY - JOUR
T1 - A DNA tool for early detection of vaginal dysbiosis in African women
AU - Jespers, Vicky
AU - Crucitti, Tania
AU - van de Wijgert, Janneke
AU - Vaneechoutte, Mario
AU - Delany-Moretlwe, Sinead
AU - Mwaura, Mary
AU - Agabe, Stephen
AU - Menten, Joris
PY - 2016/2/1
Y1 - 2016/2/1
N2 - A next-generation diagnostic tool for bacterial vaginosis, consisting of quantitative and/or qualitative molecular criteria, has not yet been identified. The optimal diagnostic tool should not only diagnose bacterial vaginosis in diverse populations, but should also detect early signs of transition to dysbiosis.We evaluated a tool based on log10-transformed qPCR data for Lactobacillus crispatus, Lactobacillus iners, Lactobacillus jensenii, Lactobacillus gasseri, Lactobacillus vaginalis, Lactobacillus genus, Atopobium vaginae and Gardnerella vaginalis in vaginal specimens of 426 African women to detect dysbiosis and predict transition to dysbiosis.G. vaginalis (= 0.204) and A. vaginae (= 0.001) were more commonly present in women who evolved to an intermediate (Nugent 4-6) or bacterial vaginosis score (Nugent 7-10) compared to women who continued to have a normal Nugent score. The combination of G. vaginalis, A. vaginae and Lactobacillus genus counts performed best for diagnostic accuracy for bacterial vaginosis--sensitivity 93.4% and specificity 83.6%; and for predictive accuracy for bacterial vaginosis--sensitivity 79% and specificity 52%. L. crispatus combinations did not perform well.We conclude that a triple-G. vaginalis-A. vaginae-Lactobacillus genus-qPCR tool holds promise for research in sub-Saharan Africa or when developed as a next-generation clinical diagnostic modality for bacterial vaginosis, ideally engineered as a rapid assay.
AB - A next-generation diagnostic tool for bacterial vaginosis, consisting of quantitative and/or qualitative molecular criteria, has not yet been identified. The optimal diagnostic tool should not only diagnose bacterial vaginosis in diverse populations, but should also detect early signs of transition to dysbiosis.We evaluated a tool based on log10-transformed qPCR data for Lactobacillus crispatus, Lactobacillus iners, Lactobacillus jensenii, Lactobacillus gasseri, Lactobacillus vaginalis, Lactobacillus genus, Atopobium vaginae and Gardnerella vaginalis in vaginal specimens of 426 African women to detect dysbiosis and predict transition to dysbiosis.G. vaginalis (= 0.204) and A. vaginae (= 0.001) were more commonly present in women who evolved to an intermediate (Nugent 4-6) or bacterial vaginosis score (Nugent 7-10) compared to women who continued to have a normal Nugent score. The combination of G. vaginalis, A. vaginae and Lactobacillus genus counts performed best for diagnostic accuracy for bacterial vaginosis--sensitivity 93.4% and specificity 83.6%; and for predictive accuracy for bacterial vaginosis--sensitivity 79% and specificity 52%. L. crispatus combinations did not perform well.We conclude that a triple-G. vaginalis-A. vaginae-Lactobacillus genus-qPCR tool holds promise for research in sub-Saharan Africa or when developed as a next-generation clinical diagnostic modality for bacterial vaginosis, ideally engineered as a rapid assay.
KW - Atopobium
KW - Bacterial vaginosis
KW - Gardnerella
KW - Lactobacillus
KW - Polymerase chain reaction
UR - http://www.scopus.com/inward/record.url?scp=84957848406&partnerID=8YFLogxK
U2 - 10.1016/j.resmic.2015.10.006
DO - 10.1016/j.resmic.2015.10.006
M3 - Article
C2 - 26577657
AN - SCOPUS:84957848406
SN - 0923-2508
VL - 167
SP - 133
EP - 141
JO - Research in microbiology
JF - Research in microbiology
IS - 2
ER -