Nowadays, there is no gold standard of sepsis diagnosis, thus there is a challenge to differentiate between shock septic and non-septic shock following a surgery, since patients with both conditions show similar signs and symptoms. In this sense, to get a quick and accurate diagnosis of septic shock is required to allow an immediate and specific treatment for this condition. In this work, we have evaluated the expression profile by microarray analysis from post-surgical septic shock and non-septic shock patients with the aim of proposing a candidate set genes as gold standard to help in distinguishing both conditions.

Microarray analysis was performed to compare the gene expression profiles from septic shock and non-septic shock and identify the differentially expressed genes. After, a set of six upregulated genes were evaluated by real time PCR as a validation platform to verify the potential of these genes to differentiate both conditions.

Raw files were read into R(limma package) by read.maimages for green only values. Background correction was performed by normexp(saddle) method, offset value=50. Then normalization between arrays was achieved by quantlile method. Repead probe names were aggregated by median values.

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131761