TY - JOUR
T1 - Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
AU - The DREAM Preterm Birth Prediction Challenge Consortium
AU - Tarca, Adi L.
AU - Pataki, Bálint Ármin
AU - Romero, Roberto
AU - Sirota, Marina
AU - Guan, Yuanfang
AU - Kutum, Rintu
AU - Gomez-Lopez, Nardhy
AU - Done, Bogdan
AU - Bhatti, Gaurav
AU - Yu, Thomas
AU - Andreoletti, Gaia
AU - Chaiworapongsa, Tinnakorn
AU - Hassan, Sonia S.
AU - Hsu, Chaur Dong
AU - Aghaeepour, Nima
AU - Stolovitzky, Gustavo
AU - Csabai, Istvan
AU - Costello, James C.
AU - Kumar, Shiu
N1 - Publisher Copyright:
© 2021 The Author(s)
PY - 2021/6/15
Y1 - 2021/6/15
N2 - 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).
AB - 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).
KW - aptamers
KW - collaborative competition
KW - human transcriptome arrays
KW - machine learning
KW - plasma proteomics
KW - predictive modeling
KW - preterm labor and delivery
KW - spontaneous preterm birth
KW - whole blood transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85108017952&partnerID=8YFLogxK
U2 - 10.1016/j.xcrm.2021.100323
DO - 10.1016/j.xcrm.2021.100323
M3 - Article
C2 - 34195686
AN - SCOPUS:85108017952
SN - 2666-3791
VL - 2
JO - Cell Reports Medicine
JF - Cell Reports Medicine
IS - 6
M1 - 100323
ER -