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Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth

  • Pamela Pruski
  • , Gonçalo D.S. Correia
  • , Holly V. Lewis
  • , Katia Capuccini
  • , Paolo Inglese
  • , Denise Chan
  • , Richard G. Brown
  • , Lindsay Kindinger
  • , Yun S. Lee
  • , Ann Smith
  • , Julian Marchesi
  • , Julie A.K. McDonald
  • , Simon Cameron
  • , Kate Alexander-Hardiman
  • , Anna L. David
  • , Sarah J. Stock
  • , Jane E. Norman
  • , Vasso Terzidou
  • , T. G. Teoh
  • , Lynne Sykes
  • Phillip R. Bennett, Zoltan Takats*, David A. MacIntyre*
*Corresponding author for this work
  • Imperial College London
  • Imperial College Healthcare NHS Trust
  • University College London
  • University of the West of England
  • Queen's University Belfast
  • University of Edinburgh
  • University of Bristol
  • Chelsea and Westminster Hospital NHS Foundation Trust

Research output: Contribution to journalJournal Article peer-review

61 Scopus citations

Abstract

The pregnancy vaginal microbiome contributes to risk of preterm birth, the primary cause of death in children under 5 years of age. Here we describe direct on-swab metabolic profiling by Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) for sample preparation-free characterisation of the cervicovaginal metabolome in two independent pregnancy cohorts (VMET, n = 160; 455 swabs; VMET II, n = 205; 573 swabs). By integrating metataxonomics and immune profiling data from matched samples, we show that specific metabolome signatures can be used to robustly predict simultaneously both the composition of the vaginal microbiome and host inflammatory status. In these patients, vaginal microbiota instability and innate immune activation, as predicted using DESI-MS, associated with preterm birth, including in women receiving cervical cerclage for preterm birth prevention. These findings highlight direct on-swab metabolic profiling by DESI-MS as an innovative approach for preterm birth risk stratification through rapid assessment of vaginal microbiota-host dynamics.

Original languageEnglish
Article number5967
JournalNature Communications
Volume12
Issue number1
DOIs
StatePublished - 01 12 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

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