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

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作者
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
机构
[1] Faculty of Medicine Imperial College London,Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction
[2] Imperial College London,National Phenome Centre
[3] March of Dimes Prematurity Research Centre at Imperial College London,Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Department of Metabolism
[4] Digestion and Reproduction,Queen Charlotte’s & Chelsea Hospital
[5] Imperial College London,Elizabeth Garrett Anderson Institute for Women’s Health
[6] Imperial College London,Faculty of Health and Applied Sciences
[7] University College London,MRC Centre for Molecular Bacteriology and Infection
[8] University West of England,School of Biological Sciences, Institute for Global Food Security
[9] Imperial College London,MRC Centre for Reproductive Health
[10] Queen’s University Belfast,Faculty of Health Sciences
[11] University of Edinburgh,St Mary’s Hospital
[12] University of Bristol,Tommy’s National Centre for Miscarriage Research
[13] Chelsea & Westminster Hospital,undefined
[14] NHS Trust,undefined
[15] Imperial College Healthcare NHS Trust,undefined
[16] Imperial College London,undefined
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摘要
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.
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