Evidence map›Paper›PMID 33952678›Full record

ArticleScience translational medicine2021

Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset.

Ina A Stelzer, Mohammad S Ghaemi, Xiaoyuan Han, Kazuo Ando, Julien J Hédou, Dorien Feyaerts, Laura S Peterson, Kristen K Rumer, Eileen S Tsai, Edward A Ganio and 28 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07637318 (Evaluation of Biomarkers in Term Labor Induction in Low-Risk Nulliparous Patients), which is not on this map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
16.5field-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.

NCT07637318 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation of Biomarkers in Term Labor Induction in Low-Risk Nulliparous Patients: Toward Better Prediction of Induction Outcomes

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2026 to 2028Enrolled190ConditionsNulliparous Patient With Unfavourable Cervix, Undergoing Labor Induction at Term ≥ 39SAArmsVaginal sample
3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 142 citations in OpenAlex.

  1. Guideline
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  8. Single-cell-level digital twins for preterm birth prevention strategies.bioRxiv : the preprint server for biology · 2025
    Article
  9. Towards a new taxonomy of preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
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23 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

38 authors at 3 institutions in 3 countries.

Ina A StelzerDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-9974-4661
Mohammad S GhaemiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Xiaoyuan HanDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-6394-3055
Kazuo AndoDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-1778-1344
Julien J HédouDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-4721-4797
Dorien FeyaertsDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-0795-6625
Laura S PetersonDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-4830-5271
Kristen K RumerDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-2713-8811
Eileen S TsaiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-6714-1439
Edward A GanioDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-1088-0377
Dyani K GaudillièreDivision of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-3017-5939
Amy S TsaiDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-2380-6424
Benjamin ChoisyDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-9873-6232
Lea P GaigneDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-6068-6927
Franck VerdonkDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-7061-5594
Danielle JacobsenDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-2288-3858
Sonia GavassoDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Gavin M TraberDepartment of Genetics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-3494-9196
Mathew EllenbergerDepartment of Genetics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-0965-9528
Natalie StanleyDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Martin BeckerDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-4296-3481
Anthony CulosDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-0083-6994
Ramin FallahzadehDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-9966-850X
Ronald J WongDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-1205-6936
Gary L DarmstadtDivision of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-7522-5824
Maurice L DruzinDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-7185-6664
Virginia D WinnDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-1136-2907
Ronald S GibbsDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-0776-6602
Xuefeng B LingDepartment of Surgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Karl SylvesterDepartment of Surgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Brendan CarvalhoDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-0784-7987
Gary M ShawDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-7438-4914
David K StevensonDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Kévin ContrepoisDepartment of Genetics, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0001-9678-5161
Martin S AngstDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-1550-8136
Nima AghaeepourDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-6117-8764
Brice GaudillièreDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA. gbrice@stanford.edu.ORCID 0000-0002-3475-5706
Palo Alto University · USStanford University · USUniversity of the Pacific · US

Funding

Preeclampsia to cardiovascular disease: Life course analysis of biomarkers and riskR01HL139844 · NHLBI · STANFORD UNIVERSITY · PI HLATKY, MARK A., WINN, VIRGINIA D · 2018 to 2021
$9.0M
SPRINT: Signature for Pain Recovery IN TeensR61NS114926 · NINDS · STANFORD UNIVERSITY · PI SIMONS, LAURA E · 2019 to 2019
$5.4M
Dietary Modulation of Neuroinflammation in Age-Related Memory DisordersR01AG058417 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SLOAN, RICHARD P, SMALL, SCOTT A · 2018 to 2022
$4.2M
Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
Predoctoral Training in Pharmacological SciencesT32GM099608 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HELL, JOHANNES W · 2012 to 2021
$2.2M
Harnessing the human monocyte system to improve surgical recoveryR35GM137936 · NIGMS · STANFORD UNIVERSITY · PI GAUDILLIERE, BRICE · 2020 to 2024
$2.0M
Doris Duke Charitable Foundation 2018100NHLBI NIH HHS R01 HL139844NIA NIH HHS R01 AG058417NIGMS NIH HHS R35 GM137936NIGMS NIH HHS R35 GM138353NIGMS NIH HHS T32 GM099608NINDS NIH HHS R61 NS114926
6 · The paper itself

Abstract

Estimating the time of delivery is of high clinical importance because pre- and postterm deviations are associated with complications for the mother and her offspring. However, current estimations are inaccurate. As pregnancy progresses toward labor, major transitions occur in fetomaternal immune, metabolic, and endocrine systems that culminate in birth. The comprehensive characterization of maternal biology that precedes labor is key to understanding these physiological transitions and identifying predictive biomarkers of delivery. Here, a longitudinal study was conducted in 63 women who went into labor spontaneously. More than 7000 plasma analytes and peripheral immune cell responses were analyzed using untargeted mass spectrometry, aptamer-based proteomic technology, and single-cell mass cytometry in serial blood samples collected during the last 100 days of pregnancy. The high-dimensional dataset was integrated into a multiomic model that predicted the time to spontaneous labor [

Indexed as

Labor OnsetMetabolomeProteomeBiomarkersFemaleHumansLongitudinal StudiesPregnancyBiomarkersProteome

Identifiers

PMID33952678
PMCPMC8136601
OpenAlexW3157791544

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.