The vaginal microbiome and the risk of preterm birth: a systematic review and network meta-analysis.

Scientific reports. 2022;12(1):7926

Plain language summary

Preterm birth is a major cause of neonatal mortality and morbidity. Many factors can trigger premature labour onset, including preterm premature rupture of membranes, infections and microbial invasion of the amniotic cavity. The vaginal microbiome is thought to protect from such infections. The aim of this study was to assess the association between the vaginal microbiome and the risk of preterm birth. This study is a systematic review and meta-analysis of 17 cohort studies. The number of pregnancies per study ranged between 38 and 539, with 8 and 107 preterm births. Results show that women with a “low-lactobacilli” vaginal microbiome composition were at higher risk of preterm birth (spontaneous and overall) compared to women with L. crispatus (microbiome) dominant microbiome compositions. Authors conclude that the diversity of the vaginal microbiome seems to play a part in the risk of preterm birth.

Expert Review


Conflicts of interest: None

Take Home Message:
  • The diversity of the vaginal microbiome is reported to play a part in the risk of preterm births.
  • Practitioners could consider testing the virginal microbiome for low Lactobacilli or the dominance of Gardnerella and Prevotella and then recommending a probiotic supplement to pregnant patients who have low Lactobacilli vaginal microbiome.

Evidence Category:
  • A: Meta-analyses, position-stands, randomized-controlled trials (RCTs)
  • X B: Systematic reviews including RCTs of limited number
  • C: Non-randomized trials, observational studies, narrative reviews
  • D: Case-reports, evidence-based clinical findings
  • E: Opinion piece, other

Summary Review:
Introduction

A systematic review and network meta-analysis was conducted to investigate the association between vaginal microbiome and risk of preterm births.

Methodology

  • Seventeen longitudinal cohort studies were included. Seven originated from North America, three from Europe, two from South America, three from Asia, and two from Africa. The number of pregnancies per study ranged between 38 and 539, with 8 and 107 preterm births. 16S Sequencing techniques were used to identify the microbial species. Preterm birth was defined as birth before 37 weeks of gestation.
  • Microbiome community state types (CSTs) were grouped into five categories based on dominating species: L. crispatus, L. gasseri, L. iners,“low-lactobacilli” and L. jensenii. “Low-lactobacilli” was defined as an increased diversity of anaerobic or mixture of aerobe and facultative anaerobe bacteria (such as Gardnerella and Prevotella) based on the cut-offs and categorization used in the individual studies.

Results

Primary clinical outcomes were:

  • Among women who delivered preterm, the pooled proportion with “low-lactobacilli” was 0.41 (95% CI 0.30-0.53) compared to 0.29 (95% CI 0.20-0.38) of women with full-term deliveries.
  • The risk of preterm births was higher among women with “low-lactobacilli” compared to L. crispatus (OR 1.69, 95%CI 1.15 -2.49).”Low-lactobacilli” included Garnerella and Provotella, both of which are known to promote inflammatory cytokines and are commonly found in vaginal microbiome just before preterm premature rupture of membranes (PPROM).

Clinical practice applications:
  • The diversity of the vaginal microbiome is reported to play an important role in the risk of preterm births.
  • Women with low Lactobacilli seem to be at a greater risk of delivering preterm compared to women with L. crispatus dominant microbiome.
  • Based on this study, practitioners could therefore consider testing the vaginal microbiome of their patients for low Lactobacilli and/or the dominance of Gardnerella and Prevotella.
  • Practitioners may also consider recommending specific probiotic supplementation during pregnancy to increase the dominance of Lactobacilli and L. crispatus vaginal microbiome.

Considerations for future research:
  • In the past, researchers have grouped the microbiome into categories based on dominating species, which is not ideal. Therefore, further studies are needed where individual microbiome sequencing data is used to make comparisons.
  • Additionally, longitudinal studies are needed with higher sample sizes to investigate the natural changes of the vaginal microbiome during pregnancy and the physiological mechanisms underlying these apparent different risk profiles.
  • Furthermore, randomized-controlled trials are needed to establish if pregnant women could benefit from specific probiotic supplementation during pregnancy.

Abstract

Preterm birth is a major cause of neonatal morbidity and mortality worldwide. Increasing evidence links the vaginal microbiome to the risk of spontaneous preterm labour that leads to preterm birth. The aim of this systematic review and network meta-analysis was to investigate the association between the vaginal microbiome, defined as community state types (CSTs, i.e. dominance of specific lactobacilli spp, or not (low-lactobacilli)), and the risk of preterm birth. Systematic review using PubMed, Web of Science, Embase and Cochrane library was performed. Longitudinal studies using culture-independent methods categorizing the vaginal microbiome in at least three different CSTs to assess the risk of preterm birth were included. A (network) meta-analysis was conducted, presenting pooled odds ratios (OR) and 95% confidence intervals (CI); and weighted proportions and 95% CI. All 17 studies were published between 2014 and 2021 and included 38-539 pregnancies and 8-107 preterm births. Women presenting with "low-lactobacilli" vaginal microbiome were at increased risk (OR 1.69, 95% CI 1.15-2.49) for delivering preterm compared to Lactobacillus crispatus dominant women. Our network meta-analysis supports the microbiome being predictive of preterm birth, where low abundance of lactobacilli is associated with the highest risk, and L. crispatus dominance the lowest.

Lifestyle medicine

Fundamental Clinical Imbalances : Digestive, absorptive and microbiological
Patient Centred Factors : Mediators/Preterm birth
Environmental Inputs : Microorganisms
Personal Lifestyle Factors : Nutrition ; Environment
Functional Laboratory Testing : Not applicable

Methodological quality

Jadad score : Not applicable
Allocation concealment : Not applicable

Metadata

Nutrition Evidence keywords : Microbiome ; Pregnancy