Using systems biology to simplify complex disease: immune cartography.
What if there was a rapid, inexpensive, and accurate blood diagnostic that could determine which patients were infected, identify the organism(s) responsible, and identify patients who were not responding to therapy? We hypothesized that systems analysis of the transcriptional activity of circulating immune effector cells could be used to identify conserved elements in the host response to systemic inflammation, and furthermore, to discriminate between sterile and infectious etiologies. We review herein a validated, systems biology approach demonstrating that 1) abdominal and pulmonary sepsis diagnoses can be made in mouse models using microarray (RNA) data from circulating blood, 2) blood microarray data can be used to differentiate between the host response to Gram-negative and Gram-positive pneumonia, 3) the endotoxin response of normal human volunteers can be mapped at the level of gene expression, and 4) a similar strategy can be used in the critically ill to follow septic patients and quantitatively determine immune recovery. These findings provide the foundation of immune cartography and demonstrate the potential of this approach for rapidly diagnosing sepsis and identifying pathogens. Further, our data suggest a new approach to determine how specific pathogens perturb the physiology of circulating leukocytes in a cell-specific manner. Large, prospective clinical trails are needed to validate the clinical utility of leukocyte RNA diagnostics (e.g., the riboleukogram).
Polpitiya
Ashoka D
AD
Department of Surgery, Washington University in St. Louis, St. Louis, MO, USA.
McDunn
Jonathan E
JE
Burykin
Anton
A
Ghosh
Bijoy K
BK
Cobb
J Perren
JP
D000818:Animals; D003422:Critical Care; D020869:Gene Expression Profiling; D006801:Humans; D007113:Immunity, Innate / Q000235:genetics / Q000276:immunology; D007962:Leukocytes / Q000378:metabolism; D046228:Microarray Analysis; D018746:Systemic Inflammatory Response Syndrome / Q000175:diagnosis / Q000235:genetics / Q000276:immunology*; D049490:Systems Biology; D014158:Transcription, Genetic