A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity

Punyadeera, Chamindie, Schneider, E. Marion, Schaffer, Dave, Hsu, Hsin-Yun, Joos, Thomas O., Kriebel, Fabian, Weiss, Manfred and Verhaegh, Wim F.J. (2010) A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity. Journal of Emergencies, Trauma and Shock (JETS), 3 1: 26-35.


Author Punyadeera, Chamindie
Schneider, E. Marion
Schaffer, Dave
Hsu, Hsin-Yun
Joos, Thomas O.
Kriebel, Fabian
Weiss, Manfred
Verhaegh, Wim F.J.
Title A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity
Journal name Journal of Emergencies, Trauma and Shock (JETS)  (ERA 2012 Listed)   Check publisher's open access policy
Publication date 2010-01
Sub-type Article
DOI 10.4103/0974-2700.58666
Volume number 3
Issue number 1
ISSN 0974-2700
Start page 26
End page 35
Total pages 10
Place of publication India
Publisher Medknow Publications and Media Pvt. Ltd.
Collection year 2011
Language eng
Formatted abstract Introduction:
In this study, we report on initial efforts to discover putative biomarkers for differential diagnosis of a systemic inflammatory response syndrome (SIRS) versus sepsis; and different stages of sepsis. In addition, we also investigated whether there are proteins that can discriminate between patients who survived sepsis from those who did not.

Materials and Methods:
Our study group consisted of 16 patients, of which 6 died and 10 survived. We daily measured 28 plasma proteins, for the whole stay of the patients in the ICU.

Results:
We observed that metalloproteinases and sE-selectin play a role in the distinction between SIRS and sepsis, and that IL-1, IP-10, sTNF-R2 and sFas appear to be indicative for the progression from sepsis to septic shock. A combined measurement of MMP-3, -10, IL-1, IP-10, sIL-2R, sFas, sTNF-R1, sRAGE, GM-CSF, IL-1 and Eotaxin allows for a good separation of patients that survived from those that died (mortality prediction with a sensitivity of 79% and specificity of 86%). Correlation analysis suggests a novel interaction between IL-1a and IP-10.

Conclusion:
The marker panel is ready to be verified in a validation study with or without therapeutic intervention.
Keyword Biomarker
Cellular mechanism
Sepsis outcome
Sepsis stage
SIRS
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article
Collections: Non HERDC
Australian Institute for Bioengineering and Nanotechnology Publications
 
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Created: Thu, 24 Mar 2011, 13:47:17 EST by Melanie Gibbons on behalf of Aust Institute for Bioengineering & Nanotechnology