• Benjamin M P Tang, Anthony S McLean, Ian W Dawes, Stephen J Huang, and Ruby C Y Lin.
• Department of Intensive Care Medicine, Nepean Hospital and Western Clinical School, University of Sydney, Penrith, NSW, Australia.
• Crit. Care Med. 2009 Mar 1; 37 (3): 882-8.

ObjectivesIt has been shown that gene-expression profiling of circulating neutrophils could identify signature genes of sepsis. However, whether similar transcriptional changes occurred in peripheral blood mononuclear cells (PBMC) was not known. Using microarray technology, we performed gene-expression profiling of PBMC to identify signature genes that distinguish sepsis from noninfectious causes of systemic inflammatory response syndrome (SIRS), between Gram-positive and Gram-negative sepsis.DesignA cross-sectional, observational study.SettingA 20-bed general intensive care unit of a tertiary referral hospital.PatientsSeventy critically ill patients (46 sepsis and 24 SIRS).InterventionsIntravenous blood was collected for leukocyte separation and RNA extraction. Gene-expression profiling was performed on PBMC using Affymetrix GeneChip microarrays with 54,675 transcripts. Data were divided into a training set (n = 35) and a validation set (n = 35). A molecular signature was developed in the training set using support vector machine and was then validated in the validation set.Measurements And Main ResultsWe identified a molecular signature of 138 genes that could differentiate between sepsis and SIRS patients with 91% and 80% accuracy in the training and validation sets, respectively. There were no signature genes that could differentiate between Gram-positive and Gram-negative sepsis. The expression of genes involved in inflammatory response and immune function was significantly reduced in septic patients when compared with those with SIRS. Genes involved in apoptosis, on the other hand, were more highly expressed in septic patients.ConclusionThere was evidence of sepsis-related immunosuppression and reduced inflammatory response in mononuclear cells on a transcriptome level. These characteristic transcriptional changes can be used to aid the diagnosis of sepsis.

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