title: Genome-wide expression profiling in pediatric septic shock.
abstract: For nearly a decade, our research group has had the privilege of developing and mining a multicenter, microarray-based, genome-wide expression database of critically ill children (≤10 y of age) with septic shock. Using bioinformatic and systems biology approaches, the expression data generated through this discovery-oriented, exploratory approach have been leveraged for a variety of objectives, which are reviewed here. Fundamental observations include widespread repression of gene programs corresponding to the adaptive immune system and biologically significant differential patterns of gene expression across developmental age groups. The data have also identified gene expression-based subclasses of pediatric septic shock having clinically relevant phenotypic differences. The data have also been leveraged for the discovery of novel therapeutic targets, as well as for the discovery and development of novel stratification and diagnostic biomarkers. Almost a decade of genome-wide expression profiling in pediatric septic shock is now demonstrating tangible results. The studies have progressed from an initial discovery-oriented and exploratory phase to a new phase in which the data are being translated and applied to address several areas of clinical need.
authors: Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Hospital Research Foundation, Cincinnati, Ohio, USA. hector.wong@cchmc.org
authors: Hector R
authors: HR
authors: Wong
mesh_terms: D015415:Biomarkers / Q000378:metabolism; D002648:Child; D002675:Child, Preschool; D019295:Computational Biology / Q000379:methods; D016638:Critical Illness; D020869:Gene Expression Profiling; D018507:Gene Expression Regulation, Developmental; D055106:Genome-Wide Association Study; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D020411:Oligonucleotide Array Sequence Analysis; D010372:Pediatrics / Q000379:methods*; D012772:Shock, Septic / Q000235:genetics* / Q000503:physiopathology / Q000628:therapy*; D049490:Systems Biology / Q000379:methods
chemical_list: D015415:Biomarkers