Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), UVSQ, INSERM, Institut Pasteur, Université Paris-Saclay, Paris, France.
Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), UVSQ, INSERM, Institut Pasteur, Université Paris-Saclay, Paris, France.
Clin Microbiol Infect. 2019 Jan;25(1):35-47. doi: 10.1016/j.cmi.2018.04.019. Epub 2018 May 3.
The vaginal microbiota may modulate susceptibility to human papillomavirus (HPV), Chlamydia trachomatis, Neisseria gonorrhoeae and Mycoplasma genitalium infections. Persistent infection with a carcinogenic HPV is a prerequisite for cervical cancer, and C. trachomatis, N. gonorrheae and M. genitalium genital infections are all associated with pelvic inflammatory disease and subsequent infertility issues.
To evaluate the association between these infections and the vaginal microbiota.
The search was conducted on Medline and the Web of Science for articles published between 2000 and 2016.
Inclusion criteria included a measure of association for vaginal microbiota and one of the considered STIs, female population, cohort, cross-sectional and interventional designs, and the use of PCR methods for pathogen detection.
The vaginal microbiota was dichotomized into high-Lactobacillus vaginal microbiota (HL-VMB) and low-Lactobacillus vaginal microbiota (LL-VMB), using either Nugent score, Amsel's criteria, presence of clue cells or gene sequencing. A random effects model assuming heterogeneity among the studies was used for each STI considered.
The search yielded 1054 articles, of which 39 met the inclusion criteria. Measures of association with LL-VMB ranged from 0.6 (95% CI 0.3-1.2) to 2.8 (95% CI 0.3-28.0), 0.7 (95% CI 0.4-1.2) to 5.2 (95% CI 1.9-14.8), 0.8 (95% CI 0.5-1.4) to 3.8 (95% CI 0.4-36.2) and 0.4 (95% CI 0.1-1.5) to 6.1 (95% CI 2.0-18.5) for HPV, C. trachomatis, N. gonorrhoeae and M. genitalium infections, respectively.
Although no clear trend for N. gonorrhoeae and M. genitalium infections could be detected, our results support a protective role of HL-VMB for HPV and C. trachomatis. Overall, these findings advocate for the use of high-resolution characterization methods for the vaginal microbiota and the need for longitudinal studies to lay the foundation for its integration in prevention and treatment strategies.
阴道微生物群可能会影响人乳头瘤病毒(HPV)、沙眼衣原体、淋病奈瑟菌和生殖支原体感染的易感性。持续性致癌 HPV 感染是宫颈癌的先决条件,而沙眼衣原体、淋病奈瑟菌和生殖支原体的生殖器感染均与盆腔炎和随后的不孕问题有关。
评估这些感染与阴道微生物群之间的关联。
在 Medline 和 Web of Science 上检索了 2000 年至 2016 年发表的文章。
纳入标准包括阴道微生物群与所考虑的性传播感染之一之间的关联测量、女性人群、队列、横断面和干预性研究设计,以及用于病原体检测的 PCR 方法。
使用 Nugent 评分、Amsel 标准、线索细胞存在或基因测序将阴道微生物群分为高乳酸杆菌阴道微生物群(HL-VMB)和低乳酸杆菌阴道微生物群(LL-VMB)。对于考虑的每一种性传播感染,使用假设研究之间存在异质性的随机效应模型。
检索到 1054 篇文章,其中 39 篇符合纳入标准。与 LL-VMB 相关的关联指标范围为 0.6(95%CI 0.3-1.2)至 2.8(95%CI 0.3-28.0)、0.7(95%CI 0.4-1.2)至 5.2(95%CI 1.9-14.8)、0.8(95%CI 0.5-1.4)至 3.8(95%CI 0.4-36.2)和 0.4(95%CI 0.1-1.5)至 6.1(95%CI 2.0-18.5),分别为 HPV、沙眼衣原体、淋病奈瑟菌和生殖支原体感染。
尽管不能确定淋病奈瑟菌和生殖支原体感染的明确趋势,但我们的结果支持 HL-VMB 对 HPV 和沙眼衣原体具有保护作用。总体而言,这些发现主张使用阴道微生物群的高分辨率特征描述方法,以及需要进行纵向研究,为其纳入预防和治疗策略奠定基础。