排尿样本作为阴道微生物组和细菌性阴道病预测指标的应用

IF 2 Q3 INFECTIOUS DISEASES Infectious microbes & diseases Pub Date : 2022-09-27 DOI:10.1097/IM9.0000000000000103
Bin Zhu, Christopher Diachok, Laahirie Edupuganti, David J. Edwards, Jeffrey R. Donowitz, K. Tossas, A. Matveyev, Katherine M. Spaine, Vladimir Lee, M. Serrano, Gregory A. Buck
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摘要

摘要最近的研究表明,阴道微生物组对女性的妇科健康有很大影响。然而,阴道标本的采集是侵入性的,需要之前的临床培训或训练有素的临床医生的参与。相反,尿液样本采集是常规的和非侵入性的,不需要临床医生的参与。我们试图比较阴道和泌尿生殖道微生物组,以评估排泄尿液样本作为阴道微生物组替代品的效用。从孕妇身上采集成对的泌尿生殖道和阴道样本,并通过16S rRNA分类图谱进行表征。我们使用五种离散策略检测了配对的泌尿生殖道和阴道微生物组的多样性和组成,以探索阴道和泌尿生殖道微生物组之间的相似性。一项比较配对的泌尿生殖道和阴道微生物群的策略显示,配对的泌尿生殖器和阴道微生物组之间的多样性和组成没有显著差异,其中使用STIRRUPS数据库分配了分类群,并删除了尿液特异性分类群。此外,常见阴道分类群的相对丰度与配对的泌尿生殖微生物群中的相对丰度呈线性相关。这些相似之处表明,排泄的尿液样本可能是一种无创的方案,可以准确分析阴道微生物组,并可能在临床上应用。最后,建立了一个机器学习模型,在该模型中,在预测细菌性阴道病时,将排泄尿液微生物组与阴道微生物组进行了有利的比较。
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The Utility of Voided Urine Samples as a Proxy for the Vaginal Microbiome and for the Prediction of Bacterial Vaginosis
Abstract Recent work has shown that the vaginal microbiome exerts a strong impact on women's gynecological health. However, collection of vaginal specimens is invasive and requires previous clinical training or the involvement of a trained clinician. In contrast, urine sample collection is routine and noninvasive and does not require involvement of a clinician. We sought to compare the vaginal and urogenital microbiomes to assess the utility of voided urine samples as a proxy for the vaginal microbiome. Paired urogenital and vaginal samples were collected from pregnant women and characterized by 16S rRNA taxonomic profiling. We examined diversities and compositions of paired urogenital and vaginal microbiomes using five discrete strategies to explore the similarity between the vaginal and urogenital microbiomes. A strategy comparing the paired urogenital and vaginal microbiomes in which taxa were assigned using the STIRRUPS database and urine-specific taxa were removed showed no significant difference in diversity and composition between the paired urogenital and vaginal microbiomes. Moreover, the relative abundances of common vaginal taxa were linearly correlated with those in the paired urogenital microbiomes. These similarities suggest that voided urine samples could represent a noninvasive protocol for accurate profiling of the vaginal microbiome with likely clinical applications. Finally, a machine learning model was established in which the voided urine microbiome was compared favorably to the vaginal microbiome in predicting bacterial vaginosis.
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