Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth.
Adult
Asymptomatic Diseases
Biomarkers
/ blood
Blood Proteins
/ classification
Cell-Free Nucleic Acids
/ blood
Crowdsourcing
/ methods
Female
Gestational Age
Humans
Infant, Newborn
Longitudinal Studies
Pre-Eclampsia
/ blood
Pregnancy
Premature Birth
/ blood
Proteomics
/ methods
ROC Curve
Transcriptome
aptamers
collaborative competition
human transcriptome arrays
machine learning
plasma proteomics
predictive modeling
preterm labor and delivery
spontaneous preterm birth
whole blood transcriptomics
Journal
Cell reports. Medicine
ISSN: 2666-3791
Titre abrégé: Cell Rep Med
Pays: United States
ID NLM: 101766894
Informations de publication
Date de publication:
15 06 2021
15 06 2021
Historique:
received:
29
10
2020
revised:
18
01
2021
accepted:
20
05
2021
entrez:
1
7
2021
pubmed:
2
7
2021
medline:
2
7
2021
Statut:
epublish
Résumé
Identification of pregnancies at risk of preterm birth (PTB), the leading cause of newborn deaths, remains challenging given the syndromic nature of the disease. We report a longitudinal multi-omics study coupled with a DREAM challenge to develop predictive models of PTB. The findings indicate that whole-blood gene expression predicts ultrasound-based gestational ages in normal and complicated pregnancies (r = 0.83) and, using data collected before 37 weeks of gestation, also predicts the delivery date in both normal pregnancies (r = 0.86) and those with spontaneous preterm birth (r = 0.75). Based on samples collected before 33 weeks in asymptomatic women, our analysis suggests that expression changes preceding preterm prelabor rupture of the membranes are consistent across time points and cohorts and involve leukocyte-mediated immunity. Models built from plasma proteomic data predict spontaneous preterm delivery with intact membranes with higher accuracy and earlier in pregnancy than transcriptomic models (AUROC = 0.76 versus AUROC = 0.6 at 27-33 weeks of gestation).
Identifiants
pubmed: 34195686
doi: 10.1016/j.xcrm.2021.100323
pii: S2666-3791(21)00166-X
pmc: PMC8233692
doi:
Substances chimiques
Biomarkers
0
Blood Proteins
0
Cell-Free Nucleic Acids
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Pagination
100323Subventions
Organisme : NCATS NIH HHS
ID : KL2 TR003143
Pays : United States
Organisme : NICHD NIH HHS
ID : HHSN275201300006C
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR003143
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM133346
Pays : United States
Informations de copyright
© 2021 The Author(s).
Déclaration de conflit d'intérêts
A.L.T., R.R., S.S.H., and T.C. are listed as co-inventors on the US 10,802,030 B2 patent, which involves the prediction of preterm birth using proteomics data. All of the other authors declare no competing interests.
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