关键词: BVAB MDL-BV index bacterial vaginosis (BV) machine learning qRT-PCR vaginal microbiome vaginitis

Mesh : Female Vaginosis, Bacterial / diagnosis microbiology Humans Vagina / microbiology Microbiota / genetics Lactobacillus / isolation & purification genetics Real-Time Polymerase Chain Reaction / methods Adult Gardnerella vaginalis / isolation & purification genetics Young Adult Sensitivity and Specificity Prevotella / isolation & purification genetics Megasphaera / isolation & purification genetics Actinobacteria / isolation & purification genetics classification Middle Aged Lactobacillus crispatus / isolation & purification genetics Adolescent Bacteria / genetics isolation & purification classification Pregnancy RNA, Ribosomal, 16S / genetics

来  源:   DOI:10.3389/fcimb.2024.1409774   PDF(Pubmed)

Abstract:
UNASSIGNED: 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.
UNASSIGNED: 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, α- and β-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.
UNASSIGNED: 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.
UNASSIGNED: 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.
摘要:
许多细菌与细菌性阴道病(BV)的病因有关。然而,目前的测试只集中在少数人身上。因此,我们设计了一种针对22种BV相关物种的新测试。
使用946个储存的阴道样本,设计了一种新的qPCR测试,定量鉴定22种细菌。每个物种的分布和相对丰度,α-和β-多样性,相关性,并确定每个样品的物种共存。根据数据建立诊断指数,受过训练,并将样本分类为BV阳性,BV-负,或过渡性BV。
qPCR测试在8小时内(从样品接收开始)以95-100%的灵敏度和特异性鉴定了所有22种目标物种。在大多数样品中,乳酸菌,卷曲乳杆菌,詹氏乳杆菌,阴道加德纳菌,范尼海(Atobobium)阴道,比维亚普雷沃氏菌,和Megasphaerasp.1型相对丰富。BVAB-1比BVAB-2和BVAB-3更丰富和分布。未发现生殖支原体。样本间相似度很低,关键物种之间存在相关性,用来建模的,火车,并测试诊断指标:MDL-BV指数。MDL-BV指数,使用物种和相对丰度标记,将样本分为三种阴道微生物组状态。在我们的样本上测试这个指数,491例BV阳性,318是BV阴性,137是过渡性BV。尽管在不同年龄段之间观察到BV状态的重要差异,种族,和怀孕状态,它们在统计上微不足道。
使用来自不同种族和年龄组的多样化和大量的阴道样本,包括孕妇,新的qRT-PCR测试和MDL-BV指数在8小时内有效诊断BV(从样品接收),使用22个BV相关物种。
公众号