Evidence map›Paper›PMID 33499801›Full record

ReviewClinical proteomics2021

Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004-2020 period: a systematic review.

Rosana Navajas, Fernando Corrales, Alberto Paradela

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Clinical proteomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06208072 (The Predictive Role of Urinary Proteomics in Blood Pressure Response of Obese Hypertensive Treated With Irbesartan or Eplerenone.), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% 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.

NCT06208072 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Predictive Role of Urinary Proteomics in Blood Pressure Response of Obese Hypertensive Treated With Irbesartan or Eplerenone.

TypeinterventionalSponsorHippocration General HospitalRan2023 to 2025Enrolled50ConditionsPrimary Hypertension, ObesityArmsIrbesartan 150mg, Eplerenone 25 mg
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Novel biomarkers for preeclampsia: Promises and pitfalls.Current opinion in obstetrics & gynecology · 2025
    Review
  5. Article
  6. Pathophysiological mechanisms in severe preeclampsia: role of upregulated proteins in blood pressure, extracellular matrix and immunity.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Placental Origins of Preeclampsia: Insights from Multi-Omic Studies.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

3 authors at 1 institution in 1 country.

Rosana NavajasFunctional Proteomics Facility, Centro Nacional de Biotecnología (CNB-CSIC), ProteoRed-ISCIII, Madrid, Spain.
Fernando CorralesFunctional Proteomics Facility, Centro Nacional de Biotecnología (CNB-CSIC), ProteoRed-ISCIII, Madrid, Spain.
Alberto ParadelaFunctional Proteomics Facility, Centro Nacional de Biotecnología (CNB-CSIC), ProteoRed-ISCIII, Madrid, Spain. alberto.paradela@cnb.csic.es.ORCID http://orcid.org/0000-0001-6837-7056
Centro Nacional de Biotecnología · ES

Funding

Instituto de Salud Carlos III PT17/0019/0001Ministerio de Ciencia, Innovación y Universidades SEV2017-0712
6 · The paper itself

Abstract

backgroundQuantitative proteomics is an invaluable tool in biomedicine for the massive comparative analysis of protein component of complex biological samples. In the last two decades, this technique has been used to describe proteins potentially involved in the pathophysiological mechanisms of preeclampsia as well as to identify protein biomarkers that could be used with diagnostic/prognostic purposes in pre-eclampsia.

resultsWe have done a systematic review of all proteomics-based papers describing differentially expressed proteins in this disease. Searching Pubmed with the terms pre-eclampsia and proteomics, restricted to the Title/Abstract and to MeSH fields, and following manual curation of the original list, retrieved 69 original articles corresponding to the 2004-2020 period. We have only considered those results based on quantitative, unbiased proteomics studies conducted in a controlled manner on a cohort of control and pre-eclamptic individuals. The sources of biological material used were serum/plasma (n = 32), placenta (n = 23), urine (n = 9), cerebrospinal fluid (n = 2), amniotic fluid (n = 2) and decidual tissue (n = 1). Overall results were filtered based on two complementary criteria. First, we have only accounted all those proteins described in at least two (urine), three (placenta) and four (serum/plasma) independent studies. Secondly, we considered the consistency of the quantitative data, that is, inter-study agreement in the protein abundance control/pre-eclamptic ratio. The total number of differential proteins in serum/plasma (n = 559), placenta (n = 912), urine (n = 132) and other sources of biological material (n = 26), reached 1631 proteins. Data were highly complementary among studies, resulting from differences on biological sources, sampling strategies, patient stratification, quantitative proteomic analysis methods and statistical data analysis. Therefore, stringent filtering was applied to end up with a cluster of 18, 29 and 16 proteins consistently regulated in pre-eclampsia in placenta, serum/plasma and urine, respectively. The systematic collection, standardization and evaluation of the results, using diverse filtering criteria, provided a panel of 63 proteins whose levels are consistently modified in the context of pre-eclampsia.

Indexed as

BiomarkersCohort studiesPlacentaPlasmaPre-eclampsiaPregnancyProteomeProteomicsUrine

Identifiers

PMID33499801
PMCPMC7836571
OpenAlexW3122578136

What OpenQuestion holds

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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.