Evidence map›Paper›PMID 40552303›Full record

ArticleFrontiers in immunology2025

Inflammatory markers in pregnancy - identifying drivers in four large cohorts.

Frederieke A J Gigase, Anna Suleri, Elena Isaevska, Anna-Sophie Rommel, Myrthe G B M Boekhorst, Olga Dmitrichenko, Hanan El Marroun, Eric A P Steegers, Manon H J Hillegers, Ryan L Muetzel and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Frederieke A J GigaseDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Anna SuleriDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Elena IsaevskaDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Anna-Sophie RommelDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Myrthe G B M BoekhorstDepartment of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands.
Olga DmitrichenkoDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Hanan El MarrounDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Eric A P SteegersDepartment of Obstetrics and Gynecology, Erasmus University Medical Center, Rotterdam, Netherlands.
Manon H J HillegersDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Ryan L MuetzelDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Whitney LiebDepartment of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Charlotte A M CecilDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, Netherlands.
Victor J M PopDepartment of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands.
Michael BreenDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Veerle Bergink *Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Lot D de Witte *Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

The impact of prenatal maternal infection and inflammation on human brain development and psychopathology during adolescenceR01MH124776 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BERGINK, VEERLE · 2021 to 2025
$3.6M
NIMH NIH HHS R01 MH124776
6 · The paper itself

Abstract

Introduction: Adaptations of the immune system throughout gestation have been proposed as important mechanisms regulating successful pregnancy. Dysregulation of the maternal immune system has been associated with adverse maternal and fetal outcomes. The design and interpretation of human biomarker studies require additional insights in the trajectories and drivers of peripheral immune markers. Methods: The current study mapped maternal inflammatory markers (C-reactive protein (CRP), interleukin (IL)-1β, IL-6, IL-17A, IL-23, interferon-γ) during pregnancy and investigated the impact of demographic, environmental and genetic drivers on maternal inflammatory marker levels in four multi-ethnic and socio-economically diverse population-based cohorts with more than 12,000 pregnant participants. Additionally, pregnancy inflammatory markers were compared to pre-pregnancy levels. Results: Cytokines showed a high correlation with each other, but not with CRP. Inflammatory marker levels showed high variability between individuals, yet high concordance within an individual over time during and pre-pregnancy. Pre-pregnancy body mass index (BMI) explained ~ 9.6% of the variance in CRP, but less than 1% of the variance in cytokines. The polygenic score of CRP was the best predictor of variance in CRP (14.1%). Gestational age and previously identified inflammation drivers, including tobacco use and parity, explained less than 1% of variance in both cytokines and CRP. Discussion: Our findings corroborate differential underlying regulatory mechanisms of CRP and cytokines and are suggestive of an individual inflammatory marker baseline which is, in part, genetically driven.

Indexed as

BiomarkersCytokinesInflammationInflammation MediatorsAdultBody Mass IndexCohort StudiesC-Reactive ProteinFemaleHumansPregnancyYoung AdultBiomarkersC-Reactive ProteinCytokinesInflammation Mediatorscohort studyimmunologyinflammatory marker dynamicsintra-individual correlationmaternal immune activationpregnancy

Identifiers

PMID40552303
PMCPMC12183797

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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.