The placental membrane microbiome is altered among subjects with spontaneous preterm birth with and without chorioamnionitis

Amanda L. Prince, Jun Ma, Paranthaman S. Kannan, Manuel Alvarez, Tate Gisslen, R. Alan Harris, Emma L. Sweeney, Christine L. Knox, Donna S. Lambers, Alan H. Jobe, Claire A. Chougnet, Suhas G. Kallapur, Kjersti M. Aagaard

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145 Scopus citations

Abstract

Background Preterm birth (PTB) is a leading cause of neonatal morbidity and mortality and is not uncommonly associated with chorioamnionitis. We recently have demonstrated that the placenta harbors a unique microbiome with similar flora to the oral community. We also have shown an association of these placental microbiota with PTB, history of antenatal infection, and excess maternal weight gain. On the basis of these previous observations, we hypothesized that the placental membranes would retain a microbiome community that would vary in association with preterm birth and chorioamnionitis. Objective In the current study, we aimed to examine the differences in the placental membrane microbiome in association with PTB in both the presence and absence of chorioamnionitis and/or funisitis using state-of-the-science whole-genome shotgun metagenomics. Study Design This was a cross-sectional analysis with 6 nested spontaneous birth cohorts (n = 9-15 subjects/cohort): Term gestations without chorioamnionitis, term with chorioamnionitis, preterm without chorioamnionitis, preterm with mild chorioamnionitis, preterm with severe chorioamnionitis, and preterm with chorioamnionitis and funisitis. Histologic analysis was performed with Redline's criteria, and inflammatory cytokines were analyzed in the cord blood. DNA from placental membranes was extracted from sterile swabs collected at delivery, and whole-genome shotgun sequencing was performed on the Illumina HiSeq platform. Filtered microbial DNA sequences were annotated and analyzed with MG-RAST (ie, Metagenomic Rapid Annotations using Subsystems Technology) and R. Results Subjects were assigned to cohorts on the basis of gestational age at delivery and independent scoring of histologic chorioamnionitis. We found that preterm subjects with severe chorioamnionitis and funisitis had increases in cord blood inflammatory cytokines. Of interest, although the placental membrane microbiome was altered in association with severity of histologic chorioamnionitis (permutational multivariate analysis of variance P =.005), there was no observable impact with either betamethasone or antibiotic treatment. In preterm subjects with chorioamnionitis, we found a high abundance of both urogenital and oral commensal bacteria. These alterations in the microbiome were accompanied by significant variation (P <.05) in microbial metabolic pathways important in the glucose-fed pentose phosphate pathway (term subjects), or glycerophopholipid metabolism, and the biosynthesis of the siderophore group nonribosomal peptides (preterm subjects). Conclusion Consistent with ours and others previous findings, women who experienced spontaneous PTB harbor placental microbiota that further differed by severity of chorioamnionitis. Integrative metagenomic analysis revealed significant variation in distinct bacterial metabolic pathways, which we speculate may contribute to risk of preterm birth with and without severe chorioamnionitis.

Original languageEnglish (US)
Pages (from-to)627.e1-627.e16
JournalAmerican journal of obstetrics and gynecology
Volume214
Issue number5
DOIs
StatePublished - May 1 2016

Bibliographical note

Funding Information:
The effort and resources for this study was funded partially by the National Institutes of Health (grant numbers R01NR014792 and DP2OD001500 to K.M.A, HL97064 to A.H.J. and S.G.K, 1F32HD082969-01A1 to A.L.P.), The Burroughs Welcome Fund Preterm Birth Initiative(s) (K.M.A. and S.G.K., C.A.C. and S.G.K.), and the March of Dimes Prematurity Research Initiative (K.M.A).

Publisher Copyright:
© 2016 Published by Elsevier Inc.

Keywords

  • chorioamnionitis
  • funisitis
  • microbiome
  • preterm birth
  • whole-genome shotgun metagenomics

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