Evidence map›Paper›PMID 41031401›Full record

ArticleHypertension (Dallas, Tex. : 1979)2026

Large-Scale Proteomics Reveals New Candidate Biomarkers for Late-Onset Preeclampsia.

Ina J Andresen, Roberto Romero, Ane C Westerberg, Nándor Gábor Than, Nardhy Gomez-Lopez, Gaurav Bhatti, Oladejo Ahmodu, Dereje W Gudicha, Arun Meyyazhagan, Awoniyi Awonuga and 4 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2026. 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. Observational
  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

14 authors.

Ina J AndresenDepartment of Obstetrics, Division of Obstetrics and Gynecology, Oslo University Hospital Rikshospitalet, Norway (I.J.A., A.C.W., T.M.M.).ORCID 0009-0003-2837-6210
Roberto RomeroPregnancy 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, United States Department of Health and Human Services, Bethesda, MD (R.R., N.G.-L., D.W.G.).
Ane C WesterbergDepartment of Obstetrics, Division of Obstetrics and Gynecology, Oslo University Hospital Rikshospitalet, Norway (I.J.A., A.C.W., T.M.M.).ORCID 0000-0002-7332-1951
Nándor Gábor ThanPregnancy 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, United States Department of Health and Human Services, Bethesda, MD (R.R., N.G.-L., D.W.G.).
Nardhy Gomez-LopezDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (N.G.-L., A.M., A.A., T.C., D.R.B., A.L.T.).ORCID 0000-0002-3406-5262
Gaurav BhattiCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI (G.B., O.A., A.L.T.).ORCID 0000-0002-8557-3347
Oladejo AhmoduCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI (G.B., O.A., A.L.T.).
Dereje W GudichaPregnancy 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, United States Department of Health and Human Services, Bethesda, MD (R.R., N.G.-L., D.W.G.).
Arun MeyyazhaganDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (N.G.-L., A.M., A.A., T.C., D.R.B., A.L.T.).
Awoniyi AwonugaDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (N.G.-L., A.M., A.A., T.C., D.R.B., A.L.T.).ORCID 0000-0002-0864-5394
Tinnakorn ChaiworapongsaDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (N.G.-L., A.M., A.A., T.C., D.R.B., A.L.T.).ORCID 0000-0001-5108-3369
David R BryantDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (N.G.-L., A.M., A.A., T.C., D.R.B., A.L.T.).ORCID 0000-0002-4428-0281
Trond M Michelsen *Department of Obstetrics, Division of Obstetrics and Gynecology, Oslo University Hospital Rikshospitalet, Norway (I.J.A., A.C.W., T.M.M.).ORCID 0000-0001-9534-6255
Adi L Tarca *Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI (N.G.-L., A.M., A.A., T.C., D.R.B., A.L.T.).ORCID 0000-0003-1712-7588

Funding

T Cells and IL-9 Signaling at the Maternal-Fetal Interface in Preterm Labor and BirthR01AI184481 · NIAID · WASHINGTON UNIVERSITY · PI Nardhy Gomez-Lopez · 2024 to 2026
$1.7M
Placenta-specific maternal plasma proteomic biomarkers of fetal deathR21HD115800 · NICHD · WAYNE STATE UNIVERSITY · PI TARCA, ADI LAURENTIU · 2025 to 2025
$424k
NIAID NIH HHS R01 AI184481NICHD NIH HHS HHSN275201300006CNICHD NIH HHS R21 HD115800
6 · The paper itself

Abstract

backgroundPreeclampsia is classified as either a more severe early onset or a more prevalent late-onset form. Lower PlGF (placental growth factor) and increased sFlt-1 (fms-like tyrosine kinase-1) in maternal circulation are promising biomarkers, yet they lack specificity for preeclampsia.

methodsWe quantified ≈7000 proteins in 673 samples collected from 89 patients with late-onset preeclampsia and 91 controls at T1 (15-22), T2 (22-30), and T3 (30-42) weeks. Elastic net and random forest models were fitted and evaluated by cross-validation. Differential abundance analysis followed by functional profiling, was used to identify and interpret protein changes.

resultsAn increase in protein differential abundance in late-onset preeclampsia was observed with advancing gestation, reaching 806 proteins at T3 related to angiogenesis, cell adhesion, and extracellular matrix remodeling. FAAH2 (fatty acid amide hydrolase 2), SIGLEC6 (sialic acid-binding Ig-like lectin-6), IL17RC (interleukin-17 receptor C), HTRA1 (serine protease), sFlt-1, and 47 other proteins dysregulated at T3 were validated in a reanalysis of a ≈5000 protein Norwegian data set. Random forest models with 20 proteins showed high accuracy at T3 (area under the curve [AUC], 0.83 [0.77-0.89], sensitivity 59%) even in cases not yet diagnosed at sampling (n=31, AUC, 0.80 [0.71-0.90], sensitivity 58%), outperforming sFlt-1 and PlGF. Moderate accuracy was obtained at T1 (AUC, 0.63 [0.54-0.72], sensitivity 33%) and T2 (AUC, 0.59 [0.50-0.68], sensitivity 17%). Combining maternal characteristics and obstetric history with proteomics data increased accuracy at T1 (AUC, 0.68 [0.59-0.77], sensitivity 28%), T2 (AUC, 0.68 [0.60-0.77], sensitivity 31%), and T3 (AUC, 0.87 [0.81-0.92], sensitivity 69%).

conclusionsThe findings confirm the involvement of abnormal trophoblast invasion, angiogenesis, and extracellular matrix remodeling in late-onset preeclampsia, while highlighting new protein alterations consistent across diverse cohorts.

Indexed as

Pre-EclampsiaProteomicsAdultBiomarkersFemaleGestational AgeHumansPlacenta Growth FactorPregnancyVascular Endothelial Growth Factor Receptor-1BiomarkersPlacenta Growth FactorVascular Endothelial Growth Factor Receptor-1biomarkershumanspregnancyproteomicsrandom forest

Identifiers

PMID41031401
PMCPMC12614630

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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.