Quantitation of all Four Gardnerella vaginalis Clades Detects Abnormal Vaginal Microbiota Characteristic of Bacterial Vaginosis More Accurately than Putative G. vaginalis Sialidase A Gene Count

• Published in: Molecular diagnosis & therapy 2019-02, Vol.23 (1), p.139-147
• Main Authors: Shipitsyna, Elena, Krysanova, Anna, Khayrullina, Guzel, Shalepo, Kira, Savicheva, Alevtina, Guschin, Alexander, Unemo, Magnus
• Format: Article
• Language: English
• Subjects: Abundance; Anaerobic bacteria; Bacteria; Biofilms; Biomedical and Life Sciences; Biomedicine; Cancer Research; Depletion; Gardnerella vaginalis; Gynecology; Human Genetics; Laboratory Medicine; Metabolism; Microbiota; Molecular Medicine; Original; Original Research Article; Pharmacotherapy; Polymerase chain reaction; Quantitation; Ribosomal DNA; Sampling methods; Vagina; Vaginosis
• ISSN: 1177-1062; 1179-2000; 1179-2000
• DOI: 10.1007/s40291-019-00382-5

Background Bacterial vaginosis (BV) is a vaginal disorder characterized by a depletion of the normal lactobacillus-dominant microbiota and overgrowth of mainly anaerobic bacteria. Objectives The study aimed to evaluate the distribution and abundance of the Gardnerella vaginalis clades and sialidase A gene in vaginal samples from Russian women, and investigate if the G. vaginalis sialidase A gene count detects an abnormal vaginal microbiota characteristic of BV more accurately than G. vaginalis load. Methods Vaginal samples from 299 non-pregnant patients of gynecological clinics were examined using Nugent scores and G. vaginalis clade and sialidase A gene quantitative real-time polymerase chain reactions (PCRs). Discriminatory power for BV microbiota was evaluated with receiver operating characteristic (ROC) analysis. Results The vaginal microbiota was characterized by Nugent scores as normal, intermediate, and BV microbiota in 162, 58, and 79 women, respectively. G. vaginalis clades 1, 2, 3, 4, and the sialidase A gene were detected in 56% (51–62%), 40% (34–45%), 20% (16–25%), 94% (91–96%), and 70% (64–75%) of vaginal samples, respectively. The frequency and abundance of clades 1, 2, 4, and the sialidase A gene as well as clade multiplicity were significantly associated with abnormal microbiota. The sialidase A gene was present in all multi-clade samples, in all single-clade samples comprising clades 1, 2, and 3, and in four of 84 (5% [2–12%]) samples comprising clade 4 only. Total G.   vaginalis load showed significantly higher discriminatory power for abnormal microbiota than sialidase A gene count (areas under ROC curves 0.933 vs. 0.881; p  = 0.0306). Conclusions Quantifying all four G. vaginalis clades discriminates between BV microbiota and normal microbiota more accurately than measuring G.   vaginalis sialidase A gene. Clade 4 is strongly associated with BV microbiota, despite most clade 4 strains lacking the sialidase A gene.