Evidence map›Paper›PMID 38705651›Full record

ReviewClinics in perinatology2024

Predicting Spontaneous Preterm Birth Using the Immunome.

Dorien Feyaerts, Ivana Marić, Petra C Arck, Jelmer R Prins, Nardhy Gomez-Lopez, Brice Gaudillière, Ina A Stelzer

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinics in perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Single-cell-level digital twins for preterm birth prevention strategies.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Dorien FeyaertsDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA 94305, USA.
Ivana MarićDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA 94304, USA.
Petra C ArckDepartment of Obstetrics and Fetal Medicine and Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20251 Hamburg, Germany.
Jelmer R PrinsDepartment of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Postbus 30.001, 9700RB, Groningen, The Netherlands.
Nardhy Gomez-LopezDepartment of Obstetrics and Gynecology, Washington University School of Medicine, 425 S. Euclid Avenue, St. Louis, MO 63110, USA; Department of Pathology and Immunology, Washington University School of Medicine, 425 S. Euclid Avenue, St. Louis, MO 63110, USA.
Brice GaudillièreDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA 94305, USA; Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94304, USA.
Ina A StelzerDepartment of Pathology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. Electronic address: istelzer@health.ucsd.edu.

Funding

UCSF Stanford Endometriosis Center for Discovery, Innovation, Training and Community EngagementP01HD106414 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GAUDILLIERE, BRICE, GIUDICE, LINDA C · 2021 to 2025
$7.1M
Neuromodulation of maternal immune adaptations in pregnancyR00HD105016 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STELZER, INA · 2023 to 2025
$745k
NICHD NIH HHS P01 HD106414NICHD NIH HHS R00 HD105016
6 · The paper itself

Abstract

Throughout pregnancy, the maternal peripheral circulation contains valuable information reflecting pregnancy progression, detectable as tightly regulated immune dynamics. Local immune processes at the maternal-fetal interface and other reproductive and non-reproductive tissues are likely to be the pacemakers for this peripheral immune "clock." This cellular immune status of pregnancy can be leveraged for the early risk assessment and prediction of spontaneous preterm birth (sPTB). Systems immunology approaches to sPTB subtypes and cross-tissue (local and peripheral) interactions, as well as integration of multiple biological data modalities promise to improve our understanding of preterm birth pathobiology and identify potential clinically actionable biomarkers.

Indexed as

Premature BirthBiomarkersFemaleHumansInfant, NewbornPregnancyRisk AssessmentBiomarkersMaternal bloodMaternal immune systemMultiomics modelingSingle-cell cytometrySpontaneous preterm birthSpontaneous preterm laborWhole blood transcriptome

Identifiers

PMID38705651
PMCPMC12313258

What OpenQuestion holds

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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.