Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome.


Journal

Nature microbiology
ISSN: 2058-5276
Titre abrégé: Nat Microbiol
Pays: England
ID NLM: 101674869

Informations de publication

Date de publication:
02 2023
Historique:
received: 21 07 2022
accepted: 23 11 2022
pubmed: 13 1 2023
medline: 7 2 2023
entrez: 12 1 2023
Statut: ppublish

Résumé

Spontaneous preterm birth (sPTB) is a leading cause of maternal and neonatal morbidity and mortality, yet its prevention and early risk stratification are limited. Previous investigations have suggested that vaginal microbes and metabolites may be implicated in sPTB. Here we performed untargeted metabolomics on 232 second-trimester vaginal samples, 80 from pregnancies ending preterm. We find multiple associations between vaginal metabolites and subsequent preterm birth, and propose that several of these metabolites, including diethanolamine and ethyl glucoside, are exogenous. We observe associations between the metabolome and microbiome profiles previously obtained using 16S ribosomal RNA amplicon sequencing, including correlations between bacteria considered suboptimal, such as Gardnerella vaginalis, and metabolites enriched in term pregnancies, such as tyramine. We investigate these associations using metabolic models. We use machine learning models to predict sPTB risk from metabolite levels, weeks to months before birth, with good accuracy (area under receiver operating characteristic curve of 0.78). These models, which we validate using two external cohorts, are more accurate than microbiome-based and maternal covariates-based models (area under receiver operating characteristic curve of 0.55-0.59). Our results demonstrate the potential of vaginal metabolites as early biomarkers of sPTB and highlight exogenous exposures as potential risk factors for prematurity.

Identifiants

pubmed: 36635575
doi: 10.1038/s41564-022-01293-8
pii: 10.1038/s41564-022-01293-8
pmc: PMC9894755
mid: NIHMS1864989
doi:

Substances chimiques

Xenobiotics 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

246-259

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM007367
Pays : United States
Organisme : NICHD NIH HHS
ID : F30 HD108886
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM145440
Pays : United States
Organisme : U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
ID : F30HD108886
Organisme : NINR NIH HHS
ID : R01 NR014784
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

William F Kindschuh (WF)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Federico Baldini (F)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Martin C Liu (MC)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.

Jingqiu Liao (J)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Yoli Meydan (Y)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Harry H Lee (HH)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Almut Heinken (A)

School of Medicine, University of Ireland, Galway, Galway, Ireland.

Ines Thiele (I)

School of Medicine, University of Ireland, Galway, Galway, Ireland.
Discipline of Microbiology, University of Galway, Galway, Ireland.
Ryan Institute, University of Galway, Galway, Ireland.
APC Microbiome Ireland, University College Cork, Cork, Ireland.

Christoph A Thaiss (CA)

Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Maayan Levy (M)

Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. maayanle@pennmedicine.upenn.edu.
Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. maayanle@pennmedicine.upenn.edu.

Tal Korem (T)

Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA. tal.korem@columbia.edu.
Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA. tal.korem@columbia.edu.
CIFAR Azrieli Global Scholars program, CIFAR, Toronto, Ontario, Canada. tal.korem@columbia.edu.

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