Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Centre of Biological Engineering, Laboratory of Research in Biofilms Rosário Oliveira, University of Minho, Braga, Portugal.
J Clin Microbiol. 2023 Aug 23;61(8):e0083722. doi: 10.1128/jcm.00837-22. Epub 2023 May 18.
Bacterial vaginosis (BV) is the most common cause of vaginal discharge among reproductive-age women. It is associated with multiple adverse health outcomes, including increased risk of acquisition of HIV and other sexually transmitted infections (STIs), in addition to adverse birth outcomes. While it is known that BV is a vaginal dysbiosis characterized by a shift in the vaginal microbiota from protective species to an increase in facultative and strict anaerobic bacteria, its exact etiology remains unknown. The purpose of this minireview is to provide an updated overview of the range of tests currently used for the diagnosis of BV in both clinical and research settings. This article is divided into two primary sections: traditional BV diagnostics and molecular diagnostics. Molecular diagnostic assays, particularly 16S rRNA gene sequencing, shotgun metagenomic sequencing, and fluorescence hybridization (FISH), are specifically highlighted, in addition to multiplex nucleic acid amplification tests (NAATs), given their increasing use in clinical practice (NAATs) and research studies (16S rRNA gene sequencing, shotgun metagenomic sequencing, and FISH) regarding the vaginal microbiota and BV pathogenesis. We also provide a discussion of the strengths and weaknesses of current BV diagnostic tests and discuss future challenges in this field of research.
细菌性阴道病(BV)是育龄期女性中最常见的阴道分泌物原因。它与多种不良健康后果相关,包括增加获得 HIV 和其他性传播感染(STIs)的风险,以及不良的出生结局。尽管已知 BV 是一种阴道菌群失调,其特征是阴道微生物群从保护性物种向兼性和严格厌氧菌的增加转变,但确切的病因仍不清楚。本综述的目的是提供目前用于临床和研究环境中 BV 诊断的各种检测方法的最新概述。本文分为两个主要部分:传统的 BV 诊断和分子诊断。特别强调了分子诊断检测方法,特别是 16S rRNA 基因测序、鸟枪法宏基因组测序和荧光杂交(FISH),以及多重核酸扩增检测(NAATs),因为它们在临床实践(NAATs)和研究研究(16S rRNA 基因测序、鸟枪法宏基因组测序和 FISH)中越来越多地用于阴道微生物群和 BV 发病机制。我们还讨论了当前 BV 诊断检测方法的优缺点,并讨论了该研究领域的未来挑战。