Objectives <p>Surviving Sepsis Campaign (SSC) defined Sepsis as “<i>life-threatening organ dysfunction caused by a dysregulated host response to infection</i>”. Sepsis remains one of the leading causes of morbidity and mortality (17-65 %) worldwide and it still remains a challenge to be defined and for which an appropriate treatment is desired. 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].</p> Design <p>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.</p> Setting <p>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.</p> Participants <p>One hundred sixty-two patients, under elective cardiac and on pump surgery were enrolled in the study.</p> Interventions <p>From each patient 4 blood samples were collected during and at the end of the surgery, following the study design.</p> Measurements and main results <p>We observed, 30 minutes after the start of the surgery, lower gene expression levels of IL10 and PD1 in septic patients compared to non-septic (<i>p</i> &lt;0.05), but considering all the timepoint there are differences in gene expression modulation between the groups.</p> Conclusion <p>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.</p>

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Gene expression kinetics in Sepsis After Cardiac Surgery (SACS): a multicentric prospective observational study

  • Rosa Paola Radice,
  • Giuseppe Martelli,
  • Mauro D’Amora,
  • Pierpaolo Dambruoso,
  • Domenico Paparella,
  • Raffaele Mandarano,
  • Giuseppe Olivo,
  • Massimo Scolaro,
  • Domenico Sarubbi,
  • Alessandro Strumia,
  • Maria Calabrese,
  • Andrea Scapigliati,
  • Francesco Greco,
  • Mary Nardi,
  • Stefano Beccaria,
  • Andrea Costamagna,
  • Luca Brazzi,
  • Ezia Rotunno,
  • Sergio Bevilacqua,
  • Antonio Ferdinando Savino,
  • Rosaria Vignale,
  • Maria Enrica Antoniucci,
  • Tommaso Pierani,
  • Stefano Rizzo,
  • Domenico Abelardo,
  • Pasquale Raimondo,
  • Gianluca Paternoster

摘要

Objectives

Surviving Sepsis Campaign (SSC) defined Sepsis as “life-threatening organ dysfunction caused by a dysregulated host response to infection”. Sepsis remains one of the leading causes of morbidity and mortality (17-65 %) worldwide and it still remains a challenge to be defined and for which an appropriate treatment is desired. 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].

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 minutes 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.