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Background <p>Diagnosing 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.</p> Methods <p>A 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&#xa0;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.</p> Results <p>Thirty 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.</p> Conclusions <p>This 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月3日

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  • 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,
  • Marta Martín-Fernández,
  • Hugo Gonzalo-Benito,
  • Paula Moreno-Portales,
  • Rosa Prieto-Utrera,
  • Miguel Bardají-Carrillo,
  • Rocío López-Herrero,
  • María Fernández Arranz,
  • Rosario Calaveras-Fernández,
  • Fé Tomillo-Cebrián,
  • Teresa Aydillo,
  • María Ángeles Jiménez-Sousa,
  • Amanda Fernández-Rodríguez,
  • Salvador Resino,
  • María Heredia-Rodríguez,
  • Pedro Martínez-Paz,
  • Eduardo Tamayo

摘要

Background

Diagnosing 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.

Methods

A 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.

Results

Thirty 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.

Conclusions

This 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.