Campisciano Giuseppina, Florian Fiorella, D'Eustacchio Angela, Stanković David, Ricci Giuseppe, De Seta Francesco, Comar Manola
Department of Medical Sciences, University of Trieste, Trieste, Italy.
Department of Life Sciences, University of Trieste, Trieste, Italy.
J Cell Physiol. 2017 Jul;232(7):1681-1688. doi: 10.1002/jcp.25806. Epub 2017 Feb 16.
Biomarkers have a wide application in research and clinic, they help to choose the correct treatment for diseases. Recent studies, addressing the vaginal microbiome using next generation sequencing (NGS), reported the involvement of bacterial species in infertility. We compared the vaginal microbiome of idiopathic infertile women with that of healthy, including bacterial vaginosis affected women and non-idiopathic infertile women, to identify bacterial species suitable as biomarkers. Information on microorganisms was obtained from the V3-16S rDNA sequencing of cervical-vaginal fluids of 96 women using the Ion Torrent platform. Data were processed with QIIME and classified against the Vaginal 16S rDNA Reference Database. The analysis revealed a significant beta-diversity variation (p < 0.001) between the four groups included in the study. L. iners, L. crispatus, and L. gasseri distinguished idiopathic infertile women from the other groups. In these women, a microbial profile similar to that observed in bacterial vaginosis women has been detected. Our results suggest that the quantitative assessment and identification of specific microorganisms of the cervical-vaginal microflora could increase the accuracy of available tools for the diagnosis of infertility and improve the adoption of therapeutic protocols.
生物标志物在研究和临床中有着广泛的应用，它们有助于为疾病选择正确的治疗方法。最近的研究使用下一代测序（NGS）对阴道微生物群进行分析，报告了细菌种类与不孕症的关联。我们将特发性不孕女性的阴道微生物群与健康女性、包括细菌性阴道病患者以及非特发性不孕女性的阴道微生物群进行比较，以确定适合作为生物标志物的细菌种类。通过Ion Torrent平台对96名女性宫颈阴道分泌物的V3-16S rDNA进行测序，获取微生物信息。数据用QIIME进行处理，并根据阴道16S rDNA参考数据库进行分类。分析显示，研究中纳入的四组之间存在显著的β多样性差异（p < 0.001）。惰性乳酸杆菌、卷曲乳酸杆菌和加氏乳酸杆菌可将特发性不孕女性与其他组区分开来。在这些女性中，检测到了与细菌性阴道病女性相似的微生物谱。我们的结果表明，对宫颈阴道微生物群特定微生物的定量评估和鉴定可以提高现有不孕症诊断工具的准确性，并改善治疗方案的采用。
