Abstract

An association between the vaginal microbiota and preterm birth (PTB) has been reported in several research studies. Population shifts from high proportions of lactobacilli to mixed species communities, as seen with bacterial vaginosis, have been linked to a twofold increased risk of PTB. Despite the increasing number of studies using next-generation sequencing technologies, primarily involving 16S rRNA-based approaches, to investigate the vaginal microbiota during pregnancy, no distinct microbial signature has been associated with PTB. Shotgun metagenomic sequencing offers a powerful tool to reveal community structures and their gene functions at a far greater resolution than amplicon sequencing. In this study, we employ shotgun metagenomic sequencing to compare the vaginal microbiota of women at high risk of preterm birth (n = 35) vs. a low-risk control group (n = 14). Although microbial diversity and richness did not differ between groups, there were significant differences in terms of individual species. In particular, Lactobacillus crispatus was associated with samples from a full-term pregnancy, whereas one community state-type was associated with samples from preterm pregnancies. Furthermore, by predicting gene functions, the functional potential of the preterm microbiota was different from that of full-term equivalent. Taken together, we observed a discrete structural and functional difference in the microbial composition of the vagina in women who deliver preterm. Importance: with an estimated 15 million cases annually, spontaneous preterm birth (PTB) is the leading cause of death in infants under the age of five years. The ability to accurately identify pregnancies at risk of spontaneous PTB is therefore of utmost importance. However, no single cause is attributable. Microbial infection is a known risk factor, yet the role of vaginal microbes is poorly understood. Using high-resolution DNA-sequencing techniques, we investigate the microbial communities present in the vaginal tracts of women deemed high risk for PTB. We confirm that Lactobacillus crispatus is strongly linked to full-term pregnancies, whereas other microbial communities associate with PTB. Importantly, we show that the specific functions of the microbes present in PTB samples differs from FTB samples, highlighting the power of our sequencing approach. This information enables us to begin understanding the specific microbial traits that may be influencing PTB, beyond the presence or absence of microbial taxa.

Highlights

  • Preterm birth (PTB) is the leading cause of mortality in infants under the age of 5 years[1]

  • Participant data A total of 57 participants with singleton pregnancy were successfully recruited over the study period, 20 at low risk of preterm birth (PTB) and 37 with risk factors for PTB

  • Due to the large variation in both the abundance and number of species observed between samples, L. crispatus (p < 0.001), L. gasseri (p = 0.028), and Bifidobacterium breve (p = 0.036) were the only species that significantly differed between full-term and preterm groups, with a higher respective mean relative abundance (Fig. 2b)

Read more

Summary

Introduction

Preterm birth (PTB) is the leading cause of mortality in infants under the age of 5 years[1]. In addition to increased mortality, prematurity is associated with significant morbidity in terms of chronic lung disease, increased rates of neurodevelopmental delay, and long-term health problems[4,5,6]. Urinary tract infections, vaginitis, bacterial vaginosis (BV), and even periodontal disease have been associated with an increased risk of spontaneous preterm delivery[14,15,16]. The composition of the microbiota of the mother, and in particular the mother’s vaginal microbiome, has more recently been linked to spontaneous PTB3. A study of 90 women, mainly of African American decent, found that there was no association between the vaginal microbiota and PTB20. Further studies have provided additional evidence that race is a key factor when identifying patterns linking PTB with vaginal microbiota composition[22,23]

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call