Evidence map›Paper›PMID 40033446›Full record

ArticleCritical care (London, England)2025

Study on the diagnostic role of exosome-derived miRNAs in postoperative septic shock and non-septic shock patients.

Adrián García-Concejo, Belén Sánchez-Quirós, Esther Gómez-Sánchez, Laura Sánchez-de Prada, Álvaro Tamayo-Velasco, María Sherezade Tovar-Doncel, Mario Lorenzo, Estefanía Gómez-Pesquera, Rodrigo Poves-Álvarez, David Bernardo and 16 more

Abstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
  2. MicroRNAs in sepsis: Advances in diagnosis and prognostic monitoring.World journal of critical care medicine · 2026
    Review
  3. Article
  4. Review
  5. Exosomes as a biomarker in postoperative complications: a literature review.Frontiers in cell and developmental biology · 2026
    Review
  6. Article
  7. 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

26 authors.

Adrián García-Concejo *Biomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Belén Sánchez-Quirós *Group for Biomedical Research in Critical Care (Biocritic), Avenida Ramón y Cajal 7, 47005, Valladolid, Spain.
Esther Gómez-SánchezBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Laura Sánchez-de PradaGroup for Biomedical Research in Critical Care (Biocritic), Avenida Ramón y Cajal 7, 47005, Valladolid, Spain.
Álvaro Tamayo-VelascoBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
María Sherezade Tovar-DoncelGroup for Biomedical Research in Critical Care (Biocritic), Avenida Ramón y Cajal 7, 47005, Valladolid, Spain.
Mario LorenzoDepartment of Anaesthesiology and Critical Care, University Clinical Hospital of Valladolid, Valladolid, Spain.
Estefanía Gómez-PesqueraGroup for Biomedical Research in Critical Care (Biocritic), Avenida Ramón y Cajal 7, 47005, Valladolid, Spain.
Rodrigo Poves-ÁlvarezDepartment of Anaesthesiology and Critical Care, University Clinical Hospital of Valladolid, Valladolid, Spain.
David BernardoBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Marta Martín-FernándezBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Hugo Gonzalo-BenitoBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Paula Moreno-PortalesInstitute of Health Sciences of Castile and Leon (ICSCYL), Soria, Spain.
Rosa Prieto-UtreraInstitute of Health Sciences of Castile and Leon (ICSCYL), Soria, Spain.
Miguel Bardají-CarrilloGroup for Biomedical Research in Critical Care (Biocritic), Avenida Ramón y Cajal 7, 47005, Valladolid, Spain.
Rocío López-HerreroGroup for Biomedical Research in Critical Care (Biocritic), Avenida Ramón y Cajal 7, 47005, Valladolid, Spain.
María Fernández ArranzDepartment of Anaesthesiology and Critical Care, University Clinical Hospital of Valladolid, Valladolid, Spain.
Rosario Calaveras-FernándezDepartment of Anaesthesiology and Critical Care, University Clinical Hospital of Valladolid, Valladolid, Spain.
Fé Tomillo-CebriánDepartment of Anaesthesiology and Critical Care, University Clinical Hospital of Valladolid, Valladolid, Spain.
Teresa AydilloDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, USA.
María Ángeles Jiménez-SousaBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Amanda Fernández-RodríguezBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Salvador ResinoBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
María Heredia-RodríguezBiomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.
Pedro Martínez-Paz *Biomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain. pedrojose.martinez@uva.es.
Eduardo Tamayo *Biomedical Research Networking Centre in Infectious Diseases (CIBERINFEC), Carlos III Health Institute, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosing septic shock promptly is essential but challenging, especially due to its clinical similarity to non-septic shock. Extracellular vesicle-derived miRNAs may serve as biomarkers to distinguish septic shock from non-septic shock, providing a more accurate diagnostic tool for postsurgical patients. This study aims to identify extracellular vesicle-derived miRNA signatures that differentiate septic shock from non-septic shock in postsurgical patients, potentially improving diagnostic accuracy and clinical decision-making.

methodsA multicentre, prospective study was conducted on miRNA profiles in shock patients. Two cohorts were recruited from the Intensive Care Units of two Spanish hospitals: a discovery cohort with 109 patients and a validation cohort with 52 patients. Plasma samples were collected within 24 h of shock diagnosis and subjected to miRNA sequencing. High-throughput sequencing data from the discovery cohort were analysed to identify differentially expressed miRNAs. These findings were validated via qPCR in the validation cohort.

resultsThirty miRNAs were identified as significantly differentially expressed between septic and non-septic shock patients. Among these, six miRNAs-miR-100-5p, miR-484, miR-10a-5p, miR-148a-3p, miR-342-3p, and miR-451a-demonstrated strong diagnostic capabilities for septic shock. A combination of miR-100-5p, miR-148a-3p, and miR-451a achieved an area under the curve of 0.894, with qPCR validation in the validation cohort yielding an area under the curve of 0.960.

conclusionsThis study highlights extracellular vesicle-derived miRNAs as promising biomarkers for differentiating septic from non-septic shock. The identified three-miRNA signature has significant potential to enhance septic shock diagnosis, thereby aiding in timely and appropriate treatment for postsurgical patients.

Indexed as

ExosomesMicroRNAsPostoperative ComplicationsShock, SepticAgedBiomarkersCohort StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesROC CurveSpainBiomarkersMicroRNAsBiomarkersExtracellular vesiclesMicroRNAsSepsisShock

Identifiers

PMID40033446
PMCPMC11874436

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LicenceCC BY-NC-ND
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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.