Evidence map›Paper›PMID 34195686›Full record

ArticleCell reports. Medicine2021

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth.

Adi L Tarca, Bálint Ármin Pataki, Roberto Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum, Nardhy Gomez-Lopez, Bogdan Done, Gaurav Bhatti, Thomas Yu and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
11.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Integrated multi-omics profiling reveals the potential role of maternal systemic immune dysregulation driven by monocyte/macrophage in preeclampsia.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  10. Article
  11. Article
  12. Article
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  14. Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026
    Review
  15. Review
  16. Article
  17. Article
  18. Single-cell-level digital twins for preterm birth prevention strategies.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 10 institutions in 3 countries.

Adi L TarcaPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI 48201, USA.
Bálint Ármin PatakiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Roberto RomeroPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI 48201, USA.
Marina SirotaDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA 94143, USA.
Yuanfang GuanDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Rintu KutumInformatics and Big Data Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Nardhy Gomez-LopezPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI 48201, USA.
Bogdan DonePerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI 48201, USA.
Gaurav BhattiPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI 48201, USA.
Thomas YuSage Bionetworks, Seattle, WA, USA.
Gaia AndreolettiDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA 94143, USA.
Tinnakorn ChaiworapongsaDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201 USA.
DREAM Preterm Birth Prediction Challenge Consortium
Sonia S HassanDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI 48201 USA.
Chaur-Dong HsuPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI 48201, USA.
Nima AghaeepourDepartment of Anesthesiology, Perioperative, and Pain Medicine, Department of Pediatrics, and Department of Biomedical Data Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Gustavo StolovitzkyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Istvan CsabaiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
James C CostelloDepartment of Pharmacology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
National Institutes of Health · USEötvös Loránd University · HUUniversity of California, San Francisco · USWayne State University · USIcahn School of Medicine at Mount Sinai · USInstitute of Genomics and Integrative Biology · INSage Bionetworks · USStanford University · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Michigan · US

Funding

Prenatal Diagnosis Of Congenital AnomaliesZIAHD002401 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$81.1M
Institutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7M
Machine Learning for Drug Response PredictionR35GM133346 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yuanfang Guan · 2019 to 2026
$3.2M
NCATS NIH HHS KL2 TR003143NICHD NIH HHS HHSN275201300006CNIGMS NIH HHS R35 GM133346
6 · The paper itself

Abstract

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).

Indexed as

Gestational AgeTranscriptomeAdultAsymptomatic DiseasesBiomarkersBlood ProteinsCell-Free Nucleic AcidsCrowdsourcingFemaleHumansInfant, NewbornLongitudinal StudiesPre-EclampsiaPregnancyPremature BirthProteomicsBiomarkersBlood ProteinsCell-Free Nucleic Acidsaptamerscollaborative competitionhuman transcriptome arraysmachine learningplasma proteomicspredictive modelingpreterm labor and deliveryspontaneous preterm birthwhole blood transcriptomics

Identifiers

PMID34195686
PMCPMC8233692
OpenAlexW3169276553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.