Evidence map›Paper›PMID 39859242›Full record

ArticleInternational journal of molecular sciences2025

Proteomic Profiling of Extracellular Vesicles in Inflammatory Bowel Diseases.

Montse Baldán-Martín, Mikel Azkargorta, Ainhoa Lapitz, Lorena Ortega Moreno, Ibon Iloro, Samuel Fernández-Tomé, Ander Arbelaiz, Iraide Escobes, Alicia C Marín, David Bernardo and 5 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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. Review
  2. Review
  3. Review
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

15 authors.

Montse Baldán-MartínCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain.ORCID 0000-0003-0848-8154
Mikel AzkargortaProteomics Platform, CIC bioGUNE, BRTA (Basque Research & Technology Alliance), CIBEREHD, 48160 Derio, Spain.
Ainhoa LapitzDepartment of Liver and Gastrointestinal Diseases, Biogipuzkoa Health Research Institute-Donostia University Hospital, University of the Basque Country (UPV/EHU), 20014 Donostia-San Sebastian, Spain.
Lorena Ortega MorenoÁrea de Farmacología y Nutrición y Bromatología, Grupo de Investigación de Alto Rendimiento en Fisiopatología del Sistema Digestivo URJC: NeuGut-URJC, Departamento Ciencias Básicas de la Salud, Universidad Rey Juan Carlos, 28922 Madrid, Spain.ORCID 0000-0001-6008-8559
Ibon IloroProteomics Platform, CIC bioGUNE, BRTA (Basque Research & Technology Alliance), CIBEREHD, 48160 Derio, Spain.
Samuel Fernández-ToméDepartamento de Nutrición y Ciencia de los Alimentos, Facultad de Farnmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-6893-4833
Ander ArbelaizDepartment of Liver and Gastrointestinal Diseases, Biogipuzkoa Health Research Institute-Donostia University Hospital, University of the Basque Country (UPV/EHU), 20014 Donostia-San Sebastian, Spain.
Iraide EscobesProteomics Platform, CIC bioGUNE, BRTA (Basque Research & Technology Alliance), CIBEREHD, 48160 Derio, Spain.
Alicia C MarínCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain.
David BernardoMucosal Immunology Lab, Unit of Excelence Institute of Biomedicine and Molecular Genetics (IBGM), Centro de Investigaciones Biomédicas en Red de Enfermedades Infecciosas (CIBERINFEC), University of Valladolid (CSIC), 47005 Valladolid, Spain.ORCID 0000-0002-2843-6696
Luis BujandaDepartment of Liver and Gastrointestinal Diseases, Biogipuzkoa Health Research Institute-Donostia University Hospital, University of the Basque Country (UPV/EHU), 20014 Donostia-San Sebastian, Spain.
Jesús M BañalesDepartment of Liver and Gastrointestinal Diseases, Biogipuzkoa Health Research Institute-Donostia University Hospital, University of the Basque Country (UPV/EHU), 20014 Donostia-San Sebastian, Spain.
Felix ElortzaProteomics Platform, CIC bioGUNE, BRTA (Basque Research & Technology Alliance), CIBEREHD, 48160 Derio, Spain.ORCID 0000-0001-8839-5438
Javier P GisbertCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain.ORCID 0000-0003-2090-3445
María ChaparroCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain.ORCID 0000-0002-9275-4242

Funding

AEG Beca Gonzalo MiñoCSIC´s Global Health Platform PTI Salud GlobalECCO ECCO GrantGETECCU XX Beca GETECCU-Faes Farma
6 · The paper itself

Abstract

The proteomic analysis of serum extracellular vesicles (EVs) could be a useful tool for studying the pathophysiology of Crohn's disease (CD) and ulcerative colitis (UC), as well as for biomarker discovery. To characterize the proteomic composition of serum EVs in patients with CD and UC to identify biomarkers and molecular pathways associated with pathogenesis and activity. Methods: Serum EVs were enriched and analyzed in patients with quiescent CD, active CD (aCD), quiescent UC, active UC (aUC), and healthy controls (HCs) (n = 30 per group). All groups were matched for age and sex. Disease activity was assessed by ileocolonoscopy and categorized based on the SES-CD (CD) and the endoscopic sub-score of the Mayo Score (UC). EVs were enriched by ul-tracentrifugation, and their size and concentration were determined by nanoparticle tracking analysis. The expression of CD63, CD81, and CD9 was determined using West-ern blotting. Proteomic analysis was performed by label-free nano-LC MS/MS. A total of 324 proteins were identified; 60 showed differential abundance in CD-HC, 34 in UC-HC, and 21 in CD-UC. Regarding disease activity, the abundance of 58 and 32 proteins was altered in aCD-HC and aUC-HC, respectively. Functional analyses revealed that proteins associated with aCD were involved in immune regulation, whereas those linked to aUC were enriched in oxidative stress. We have identified expressed proteins between EVs from patients with CD and UC, depending on the presence of disease, the disease type, and the disease activity. These proteins are potential candidates as disease biomarkers and open new research avenues to better understand these conditions.

Indexed as

Colitis, UlcerativeCrohn DiseaseExtracellular VesiclesInflammatory Bowel DiseasesProteomeProteomicsAdultBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedBiomarkersProteomeCrohn’s diseaseextracellular vesiclesproteomicsulcerative colitis

Identifiers

PMID39859242
PMCPMC11765028

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Registered trials

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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.