Abbreviations: AUC, area under the curve; FIA, fl ow injection analysis; LPS, lipopolysaccharide; MCAD, medium chain acyl CoA dehydrogenase; PC, phosphatidylcholine; SIRS, systemic infl ammatory response syndrome.

Systemic inflammatory response syndrome (SIRS) is a life threatening condition and the leading cause of death in intensive care units. Although single aspects of pathophysiology have been described in detail, numerous unknown mediators contribute to the progression of this complex disease. The aim of this study was to elucidate the pathophysiological role of CAAP48, a C-terminal alpha-1 antitrypsin fragment, that we found to be elevated in septic patients and to apply this peptide as diagnostic marker for infectious and noninfectious etiologies of SIRS. Incubation of human polymorphonuclear neutrophils with synthetic CAAP48, the SNP-variant CAAP47, and several control peptides revealed intense neutrophil activation, induction of neutrophil chemotaxis, reduction of neutrophil viability, and release of cytokines. We determined the abundance of CAAP48 in patients with severe sepsis, severe SIRS of noninfectious origin, and viral infection. CAAP48 levels were 3-4-fold higher in patients with sepsis compared to SIRS of noninfectious origin and allowed discrimination of those patients with high sensitivity and specificity. Our results suggest that CAAP48 is a promising discriminatory sepsis biomarker with immunomodulatory functions, particularly on human neutrophils, supporting its important role in the host response and pathophysiology of sepsis.

Regular physical exercise reduces sepsis-associated acute kidney injury and death. As a specific mechanism of exercise-induced adaptation, we identified various lysophosphatidylcholines that might function as surrogate for improved outcome in sepsis.

Currently, there is no biomarker that can reliable distinguish between infectious and non-infectious systemic inflammatory response syndrome (SIRS). However, such a biomarker would be of utmost importance for early identification and stratification of patients at risk to initiate timely and appropriate antibiotic treatment. Within this proof of principle study, the high potential of Raman spectroscopy for the fast differentiation of non-infectious SIRS and sepsis is demonstrated. Blood plasma collected from 70 patients from the intensive care unit (31 patients with sepsis and 39 patients classified with SIRS without infection) was analyzed by means of Raman spectroscopy. A PCA-LDA based classification model was trained with Raman spectra from test samples and yielded for sepsis a sensitivity of 1.0 and specificity of 0.82. These results have been confirmed with an independent dataset (prediction accuracy 80%).

Early differential diagnosis of systemic inflammatory reactions in critically ill patients is essential for timely implementation of lifesaving therapies. Despite many efforts made, reliable biomarkers to discriminate between infectious and noninfectious causes of systemic inflammatory response syndrome (SIRS) are currently not available. Recent advances in mass spectrometry-based methods have raised hopes that identification of spectral patterns from serum/plasma samples can be instrumental in this context. We compared protein expression patterns from patients with SIRS of infectious and noninfectious origin. Plasma samples from 166 patients obtained under rigorously standardized preanalytical conditions were applied to Q10 and CM10 ProteinChips. Protein profiles were used to train and develop decision tree classification algorithms. Discriminatory peaks were isolated and identified. Classification trees distinguished patients with noninfectious SIRS with organ dysfunction following open heart surgery using cardiopulmonary bypass from those with severe sepsis or septic shock with distinct sensitivities and specificities. Results were validated in a blinded test set in two independent experiments and in a second independently collected test set. Discriminatory peaks at 13.8 and 55.7 kd were identified as transthyretin and α1-antitrypsin; the third protein at m/z 4,798 was assigned to a proteolytic fragment of α1-antitrypsin. Taken together, our data demonstrate that plasma protein profiling allows reproducible discrimination between patients with infectious and noninfectious SIRS with high sensitivity and specificity. However, rigorous standardization as well as considering drug-related interferences is essential when interpreting protein profiling studies. Identification of discriminatory proteins suggests a direct link between infectious-related protease activity and a sepsis-specific diagnostic pattern for discrimination of patients with SIRS.