title: Gene expression profiling in sepsis: timing, tissue, and translational considerations.
abstract: Sepsis is a complex inflammatory response to infection. Microarray-based gene expression studies of sepsis have illuminated the complex pathogen recognition and inflammatory signaling pathways that characterize sepsis. More recently, gene expression profiling has been used to identify diagnostic and prognostic gene signatures, as well as novel therapeutic targets. Studies in pediatric cohorts suggest that transcriptionally distinct subclasses might account for some of the heterogeneity seen in sepsis. Time series analyses have pointed to rapid and dynamic shifts in transcription patterns associated with various phases of sepsis. These findings highlight current challenges in sepsis knowledge translation, including the need to adapt complex and time-consuming whole-genome methods for use in the intensive care unit environment, where rapid diagnosis and treatment are essential.
authors.affiliation: Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada; Department of Medicine, University of Toronto, Toronto, ON, Canada.
authors.forename: David M
authors.initials: DM
authors.lastname: Maslove
authors.affiliation: Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA. Electronic address: hector.wong@cchmc.org.
authors.forename: Hector R
authors.initials: HR
authors.lastname: Wong
mesh_terms: D000818:Animals; D020869:Gene Expression Profiling / Q000191:economics / Q000379:methods*; D005786:Gene Expression Regulation; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000191:economics / Q000379:methods; D018805:Sepsis / Q000235:genetics*
keywords: bioinformatics; gene expression; genomics; microarrays; sepsis; septic shock