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Distinguishing septic shock from non-septic shock in postsurgical patients using gene expression
Pedro Martínez-Paz1, Marta Aragón-Camino2, Esther Gómez-Sánchez3
1Department of Surgery, Faculty of Medicine, University of Valladolid. 7 Ramón y Cajal Ave, 47005 Valladolid, Spain; BioCritic. Group for Biomedical Research in Critical Care Medicine. Valladolid, Spain.
A new gene expression signature can accurately distinguish septic shock from non-septic shock in postoperative patients. This molecular diagnostic tool offers a more precise method than current biomarkers for guiding treatment decisions.
Area of Science:
- Biomolecular diagnostics
- Molecular biology
- Sepsis research
Background:
- Distinguishing between septic shock and non-septic shock in postoperative patients is challenging due to overlapping clinical signs and symptoms.
- Accurate differentiation is crucial for appropriate and timely patient management.
Purpose of the Study:
- To identify a gene expression signature capable of differentiating septic shock from non-septic shock in postoperative patients.
- To establish a reliable molecular diagnostic tool for shock conditions.
Main Methods:
- Microarray analysis was employed to identify differentially expressed genes in a discovery cohort.
- Quantitative real-time polymerase chain reaction (qRT-PCR) validated these genes in a separate cohort.
- Receiver operating characteristic (ROC) curve analysis assessed the predictive capacity of the identified gene signature.
Main Results:
- Six differentially expressed genes (IGHG1, IL1R2, LCN2, LTF, MMP8, and OLFM4) were identified.
- A multivariate regression model incorporating these genes achieved an area under the curve (AUC) of 0.922.
- The gene expression signature demonstrated superior diagnostic performance compared to procalcitonin, C-reactive protein, and neutrophil counts.
Conclusions:
- Gene expression patterns offer a robust method for distinguishing septic shock from non-septic shock in postoperative patients.
- This molecular approach has the potential to enable immediate and specific treatments.
- Accurate diagnosis can prevent unnecessary broad-spectrum antibiotic use, mitigate antimicrobial resistance, reduce secondary infections, and lower healthcare costs.
