Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Jun 28;6(1):117.
doi: 10.1186/s40168-018-0502-8.

Increased Richness and Diversity of the Vaginal Microbiota and Spontaneous Preterm Birth

Collaborators, Affiliations
Free PMC article

Increased Richness and Diversity of the Vaginal Microbiota and Spontaneous Preterm Birth

Aline C Freitas et al. Microbiome. .
Free PMC article

Abstract

Background: The bacterial community present in the female lower genital tract plays an important role in maternal and neonatal health. Imbalances in this microbiota have been associated with negative reproductive outcomes, such as spontaneous preterm birth (sPTB), but the mechanisms underlying the association between a disturbed microbiota and sPTB remain poorly understood. An intrauterine infection ascending from the vagina is thought to be an important contributor to the onset of preterm labour. Our objective was to characterize the vaginal microbiota of pregnant women who had sPTB (n = 46) and compare to those of pregnant women who delivered at term (n = 170). Vaginal swabs were collected from women at 11-16 weeks of gestational age. Microbiota profiles were created by PCR amplification and pyrosequencing of the cpn60 universal target region.

Results: Profiles clustered into seven community state types: I (Lactobacillus crispatus dominated), II (Lactobacillus gasseri dominated), III (Lactobacillus iners dominated), IVA (Gardnerella vaginalis subgroup B or mix of species), IVC (G. vaginalis subgroup A dominated), IVD (G. vaginalis subgroup C dominated) and V (Lactobacillus jensenii dominated). The microbiota of women who experienced preterm birth (< 37 weeks gestation) had higher richness and diversity and higher Mollicutes prevalence when compared to those of women who delivered at term. The two groups did not cluster according to CST, likely because CST assignment is driven in most cases by the dominance of one particular species, overwhelming the contributions of more rare taxa. In conclusion, we did not identify a specific microbial community structure that predicts sPTB, but differences in microbiota richness, diversity and Mollicutes prevalence were observed between groups.

Conclusions: Although a causal relationship remains to be determined, our results confirm previous reports of an association between Mollicutes and sPTB and further suggest that a more diverse microbiome may be important in the pathogenesis of some cases.

Keywords: CST; Diversity; Infection; Lactobacillus; Microbiome; Mollicutes; Pregnancy; Preterm birth; Richness; Vagina.

Conflict of interest statement

Ethics approval and consent to participate

This study received ethical approval from the University of British Columbia Children’s and Women’s Research Ethics Board (Approval Number H14-01954), and Mount Sinai Hospital Research Ethics Board (Approval Number 15-0184-E). All participants provided written consent at enrolment.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Vaginal microbiota profiles of women who had sPTB and term deliveries. a Hierarchical clustering of Jensen–Shannon distance matrices with Ward linkage on the relative proportions of reads for each OTU within individual vaginal samples. b Community state type (CST). c Gestational age at delivery. d Heatmap of relative abundances of bacterial species within each vaginal microbiota. Each column represents a woman’s vaginal microbiota profile, and each row represents a bacteria species. Only species that are at least 1% abundant in at least one sample are shown. e Shannon diversity indices calculated for each sample
Fig. 2
Fig. 2
Vaginal microbiota profiles coloured by gestational age at delivery or CST. Jackknifed principal coordinates analysis (PCoA) of Bray–Curtis distance matrices of microbial profiles from all participants in the study
Fig. 3
Fig. 3
Bacteria relative abundance differences between term and preterm groups represented by ALDEx2. a ALDEx2 between- and within-difference values for individual organisms across gestational age category. Organisms (at OTU and nearest neighbour species level) with significant p values are shown as pink circles (Welch’s t statistical test). b Violin plots showing the bacteria relative abundance (centre log transformed, CLR) in term and preterm groups. Only the eight bacteria with significant relative abundance differences between term and preterm groups are shown. In the violin plots, the white dot represents the median value, the black bar is the interquartile range, and the vertical width of the plot shows the density of the data along the X-axis

Similar articles

See all similar articles

Cited by 17 articles

See all "Cited by" articles

References

    1. WHO. March of Dimes. PMNCH. Save the Children . In: Born too soon: the global action report on preterm birth. Howson CP, Kinney MV, Lawn JE, editors. Geneva: World Health Organization; 2012.
    1. Quinn J, Munoz FM, Gonik B, Frau L, Cutland C, Mallett-Moore T, et al. Preterm birth: case definition & guidelines for data collection, analysis, and presentation of immunisation safety data. Vaccine. 2016;34:6047–6056. - PMC - PubMed
    1. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. Elsevier Ltd. 2012;379:2162–2172. - PubMed
    1. Behrman RE, Butler AS. In: Preterm birth: causes, consequences, and prevention. Behrman RE, Butler AS, editors. Washington, D.C.: National Academies Press; 2007.
    1. Fraser AM, Brockert JE, Ward RH. Association of young maternal age with adverse reproductive outcomes. N Engl J Med. 1995;332:1113–1118. - PubMed

Publication types

MeSH terms

Feedback