Molecular characterization of vaginal microbiota using a new 22-species qRT-PCR test to achieve a relative-abundance and species-based diagnosis of bacterial vaginosis

被引:1
作者
Oyenihi, Ayodeji B. [1 ]
Haines, Ronald [1 ]
Trama, Jason [1 ]
Faro, Sebastian [1 ,2 ]
Mordechai, Eli [1 ]
Adelson, Martin E. [1 ]
Sekyere, John Osei [1 ]
机构
[1] Genesis Biotechnol Grp, Inst Biomarker Res, Med Diagnost Labs, Hamilton, NJ 08691 USA
[2] Mem Womens Care, Houston, TX USA
来源
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY | 2024年 / 14卷
关键词
bacterial vaginosis (BV); MDL-BV index; vaginitis; qRT-PCR; BVAB; vaginal microbiome; machine learning; IDENTIFICATION; RECURRENCE;
D O I
10.3389/fcimb.2024.1409774
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background Numerous bacteria are involved in the etiology of bacterial vaginosis (BV). Yet, current tests only focus on a select few. We therefore designed a new test targeting 22 BV-relevant species. Methods Using 946 stored vaginal samples, a new qPCR test that quantitatively identifies 22 bacterial species was designed. The distribution and relative abundance of each species, alpha- and beta-diversities, correlation, and species co-existence were determined per sample. A diagnostic index was modeled from the data, trained, and tested to classify samples into BV-positive, BV-negative, or transitional BV. Results The qPCR test identified all 22 targeted species with 95 - 100% sensitivity and specificity within 8 hours (from sample reception). Across most samples, Lactobacillus iners, Lactobacillus crispatus, Lactobacillus jensenii, Gardnerella vaginalis, Fannyhessea (Atopobium) vaginae, Prevotella bivia, and Megasphaera sp. type 1 were relatively abundant. BVAB-1 was more abundant and distributed than BVAB-2 and BVAB-3. No Mycoplasma genitalium was found. The inter-sample similarity was very low, and correlations existed between key species, which were used to model, train, and test a diagnostic index: MDL-BV index. The MDL-BV index, using both species and relative abundance markers, classified samples into three vaginal microbiome states. Testing this index on our samples, 491 were BV-positive, 318 were BV-negative, and 137 were transitional BV. Although important differences in BV status were observed between different age groups, races, and pregnancy status, they were statistically insignificant. Conclusion Using a diverse and large number of vaginal samples from different races and age groups, including pregnant women, the new qRT-PCR test and MDL-BV index efficiently diagnosed BV within 8 hours (from sample reception), using 22 BV-associated species.
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