Integrative ‘omic analysis of experimental bacteremia identifies a metabolic signature that distinguishes human sepsis from SIRS

ABSTRACT: Rationale: Sepsis is a leading cause of morbidity and mortality; early diagnosis and prediction of progression is difficult to determine. The integration of metabolomic and transcriptomic data in an experimental model of sepsis may be a novel method to identify molecular signatures of clinical sepsis. Objectives: Develop a biomarker panel for earlier diagnosis and prognostic characterization of sepsis patients to inform personalized clinical management and improve understanding of the pathophysiology of sepsis progression. Methods: Mild to severe sepsis, lung injury and death was recapitulated in Macaca fascicularis by intravenous inoculation of Escherichia coli. Plasma samples were obtained at time of challenge and at one, three, and five days later or time of euthanasia. Necropsy was per

ORGANISM(S): Macaca fascicularis

SUBMITTER: Raymond Langley 

PROVIDER: E-GEOD-59075 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress