Evidence map›Paper›PMID 24349325›Full record

ArticlePloS one2013

Evaluation of current and new biomarkers in severe preeclampsia: a microarray approach reveals the VSIG4 gene as a potential blood biomarker.

Julien Textoris, Delphine Ivorra, Amira Ben Amara, Florence Sabatier, Jean-Pierre Ménard, Hélène Heckenroth, Florence Bretelle, Jean-Louis Mege

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. 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
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  11. Construction of a pathway-level model for preeclampsia based on gene expression data.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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  17. Maternal whole blood mRNA signatures identify women at risk of early preeclampsia: a longitudinal study.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2021
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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

8 authors at 3 institutions in 1 country.

Julien TextorisAix-Marseille Université, Unité de Recherche sur les Maladies Infectieuses Tropicales et Emergentes, CNRS UMR 7278, INSERM U1095, Marseille, France.
Delphine IvorraAix-Marseille Université, Department of Gynecology and Obstetrics, Hôpital Nord, Marseille, France.
Amira Ben AmaraAix-Marseille Université, Unité de Recherche sur les Maladies Infectieuses Tropicales et Emergentes, CNRS UMR 7278, INSERM U1095, Marseille, France.
Florence SabatierAix-Marseille Université, Laboratoire de Physiopathologie de l'Endothélium, Unité mixte de recherche, S 608 INSERM, Marseille, France.
Jean-Pierre MénardAix-Marseille Université, Department of Gynecology and Obstetrics, Hôpital Nord, Marseille, France.
Hélène HeckenrothAix-Marseille Université, Department of Gynecology and Obstetrics, Hôpital de la Conception, Marseille, France.
Florence BretelleAix-Marseille Université, Unité de Recherche sur les Maladies Infectieuses Tropicales et Emergentes, CNRS UMR 7278, INSERM U1095, Marseille, France ; Aix-Marseille Université, Department of Gynecology and Obstetrics, Hôpital Nord, Marseille, France.
Jean-Louis MegeAix-Marseille Université, Unité de Recherche sur les Maladies Infectieuses Tropicales et Emergentes, CNRS UMR 7278, INSERM U1095, Marseille, France.
Aix-Marseille Université · FRCentre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia is a placental disease characterized by hypertension and proteinuria in pregnant women, and it is associated with a high maternal and neonatal morbidity. However, circulating biomarkers that are able to predict the prognosis of preeclampsia are lacking. Thirty-eight women were included in the current study. They consisted of 19 patients with preeclampsia (13 with severe preeclampsia and 6 with non-severe preeclampsia) and 19 gestational age-matched women with normal pregnancies as controls. We measured circulating factors that are associated with the coagulation pathway (including fibrinogen, fibronectin, factor VIII, antithrombin, protein S and protein C), endothelial activation (such as soluble endoglin and CD146), and the release of total and platelet-derived microparticles. These markers enabled us to discriminate the preeclampsia condition from a normal pregnancy but were not sufficient to distinguish severe from non-severe preeclampsia. We then used a microarray to study the transcriptional signature of blood samples. Preeclampsia patients exhibited a specific transcriptional program distinct from that of the control group of women. Interestingly, we also identified a severity-related transcriptional signature. Functional annotation of the upmodulated signature in severe preeclampsia highlighted two main functions related to "ribosome" and "complement". Finally, we identified 8 genes that were specifically upmodulated in severe preeclampsia compared with non-severe preeclampsia and the normotensive controls. Among these genes, we identified VSIG4 as a potential diagnostic marker of severe preeclampsia. The determination of this gene may improve the prognostic assessment of severe preeclampsia.

Indexed as

AdultBiomarkersCase-Control StudiesCluster AnalysisFemaleGene Expression ProfilingGene Regulatory NetworksHumansMolecular Sequence AnnotationPre-EclampsiaPregnancyPrognosisReceptors, ComplementRisk FactorsBiomarkersReceptors, ComplementVSIG4 protein, human

Identifiers

PMID24349325
PMCPMC3859491
OpenAlexW2056339225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.