Related Experiment Video
Updated: Jan 16, 2026
Evaluation of a Reliable Biomarker in a Cecal Ligation and Puncture-Induced Mouse Model of Sepsis
Published on: December 9, 2022
Gene expression kinetics in Sepsis After Cardiac Surgery (SACS): a multicentric prospective observational study
Rosa Paola Radice1,2, Giuseppe Martelli3, Mauro D'Amora4
1Department of Science, University of Basilicata, Via Dell'ateneo lucano 10, 85100, Potenza, PZ, Italy. rosapaolaradice@gmail.com.
Objectives:
Surviving Sepsis Campaign (SSC) defined Sepsis as "life-threatening organ dysfunction caused by a dysregulated host response to infection" (De Backer D et al, Crit Care Med, n.d.). Sepsis remains one of the leading causes of morbidity and mortality (17-65% (De Oliveira DC, Arq Bras Cardiol Sociedade Brasileira de Cardiologia - SBC 94:352-6, 2010)) worldwide and it still remains a challenge to be defined and for which an appropriate treatment is desired (Chiu and Legrand, Curr Opin Anaesthesiol 34:71-6, 2021). Different studies have been conducted on genes coding for inflammatory cytokines whose could predispose to the development of sepsis [e.g., IL-10 PD1 and WT1] (Gupta DL et al, Infectious Process Sepsis, 202).
Design:
This multicentric observational prospective study aims to evaluate blinding the genetic expression kinetics of different molecules involved in the inflammatory process, IL10, PD1 and WT1, to search for a possible molecular predictive marker of sepsis.
Setting:
Nine University teaching Hospitals in Italy take part in this study in collaboration with the Department of Applied Science (DISBA) of the University of Basilicata.
Participants:
One hundred sixty-two patients, under elective cardiac and on pump surgery were enrolled in the study.
Interventions:
From each patient 4 blood samples were collected during and at the end of the surgery, following the study design.
Measurements And Main Results:
We observed, 30 min after the start of the surgery, lower gene expression levels of IL10 and PD1 in septic patients compared to non-septic (p < 0.05), but considering all the timepoint there are differences in gene expression modulation between the groups.
Conclusion:
These results confirmed the dysregulated immune response in septic patients compared to non-septic, highlight how a measurement of the gene expression could help to optimize procedures and pay attention to more susceptible patients.
