Evidence map›Paper›PMID 41152969›Full record

ArticleBiomarker research2025

Plasma proteomics uncovers divergent molecular signatures in ischemic stroke and intracerebral hemorrhage.

David Núñez-Jurado, Alejandro Fernández-Vega, Carmen Del Río, Anna Penalba, Laia Llucià-Carol, Elena Muiño-Acuña, Garbiñe Ezcurra-Díaz, Marina Guasch-Jiménez, Natalia Cullell, Gemma Serrano-Heras and 13 more

Abstract read
In one paragraph

Article in Biomarker research, 2025. 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. Review
  2. Review
  3. Article
  4. Article
  5. 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

23 authors.

David Núñez-Jurado *Neurovascular Research Group, Institute de Biomedicine of Seville, IBiS/Virgen Macarena University Hospital/CSIC/University of Seville, Av. Dr. Fedriani, 3, Seville, 41009, Spain.
Alejandro Fernández-Vega *Neurovascular Research Group, Institute de Biomedicine of Seville, IBiS/Virgen Macarena University Hospital/CSIC/University of Seville, Av. Dr. Fedriani, 3, Seville, 41009, Spain.
Carmen Del RíoNeurovascular Research Group, Institute de Biomedicine of Seville, IBiS/Virgen Macarena University Hospital/CSIC/University of Seville, Av. Dr. Fedriani, 3, Seville, 41009, Spain.
Anna PenalbaNeurovascular Research Laboratory, Vall d'Hebron Institute of Research (VHIR), Universitat Autónoma de Barcelona, Barcelona, 08035, Spain.
Laia Llucià-CarolStroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08041, Spain.
Elena Muiño-AcuñaStroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08041, Spain.
Garbiñe Ezcurra-DíazStroke Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08025, Spain.
Marina Guasch-JiménezStroke Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08025, Spain.
Natalia CullellStroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08041, Spain.
Gemma Serrano-HerasResearch Unit, Albacete University Hospital Complex (CHUA), Albacete, 02008, Spain.
Lourdes Arias-SalazarResearch Unit, Albacete University Hospital Complex (CHUA), Albacete, 02008, Spain.
Cristòfol Vives-BauzaDepartment of Neurology, Hospital Universitario Son Espases (HUSE), Mallorca, 07120, Spain.
Silvia TurDepartment of Neurology, Hospital Universitario Son Espases (HUSE), Mallorca, 07120, Spain.
Xabier UrraFunctional Unit of Cerebrovascular Diseases, Institute of Neurosciences, Hospital Clinic-Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, 08036, Spain.
Mar CastellanosDepartment of Neurology, Health Sciences Faculty, Biomedical Research Institute, University of A Coruña, A Coruña, 15006, Spain.
Jerzy KrupinskiStroke Pharmacogenomics and Genetics Laboratory, Fundación Docència I Recerca Mútua Terrassa, Hospital Mútua Terrassa, Barcelona, 08221, Spain.
Marimar Freijo-GuerreroStroke Unit of the Neurology Service, Cruces University Hospital, Biobizkaia Health Research Institute, Barakaldo, 48903, Spain.
Jordi Jiménez-CondeDepartment of Neurology, Neurovascular Research Group, Instituto de investigaciones médicas Hospital del Mar (IMIM) Hospital del Mar, Barcelona, 08003, Spain.
Isabel Fernández-PérezDepartment of Neurology, Neurovascular Research Group, Instituto de investigaciones médicas Hospital del Mar (IMIM) Hospital del Mar, Barcelona, 08003, Spain.
Tomás SeguraDepartment of Neurology, General University Hospital of Albacete, Albacete, 02006, Spain.
Joan Marti-FabregasStroke Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08025, Spain.
Israel Férnandez-CadenasStroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, 08041, Spain.
Joan MontanerNeurovascular Research Group, Institute de Biomedicine of Seville, IBiS/Virgen Macarena University Hospital/CSIC/University of Seville, Av. Dr. Fedriani, 3, Seville, 41009, Spain. jmontaner-ibis@us.es.

Funding

Instituto de Salud Carlos III CM23/00216Instituto de Salud Carlos III PMP21/00165Ministerio de Universidades POLIFENEV
6 · The paper itself

Abstract

backgroundTimely differentiation between ischemic stroke (IS) and intracerebral hemorrhage (ICH) is critical for guiding appropriate acute management strategies. While neuroimaging is the diagnostic gold standard, its accessibility is often limited in urgent clinical settings. Blood biomarkers offer a promising, scalable diagnostic alternative; however, no validated panel is yet available for distinguishing stroke subtypes during the hyperacute phase.

methodsIn a multicenter study, plasma samples were collected within 6 h of symptom onset. A total of 3,072 proteins were measured using Olink® proximity extension assays. We applied differential expression analysis, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and receiver operating characteristic (ROC) curve evaluation. To interpret the biological relevance of the findings, we conducted functional enrichment and protein-protein interaction (PPI) analyses.

resultsAmong the 388 patients (344 IS, 44 ICH), 2,531 proteins were retained; 878 reached nominal significance (p < 0.05), and 67 remained significant after multiple-testing correction (FDR-adjusted p < 0.05). Of these, 844 were overexpressed in ICH and 34 in IS. GFAP, a glial marker, emerged as the most discriminative biomarker for ICH versus IS (AUC = 0.887; sensitivity: 80%, specificity: 90%), followed by BCAN (AUC = 0.820), SNAP25 (AUC = 0.797), and SPOCK1 (AUC = 0.786). For IS, S100A12 (AUC = 0.677) and MNDA (AUC = 0.657) showed the best performance. Multivariate analyses confirmed the presence of distinct proteomic patterns, with enrichment revealing a significant overrepresentation of neurodevelopmental and synaptic pathways. In PPI networks, GFAP and LYN emerged as central hubs.

conclusionThis study reveals a robust plasma proteomic signature distinguishing IS from ICH within hours of onset. These results lay the groundwork for scalable, blood-based diagnostics to guide early stroke management when imaging is delayed or unavailable.

Indexed as

BiomarkersNeuroinflammationProteomicsStroke

Identifiers

PMID41152969
PMCPMC12570678

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.