Integrative “Omic” Analysis of Experimental Bacteremia Identifies a Metabolic Signature That Distinguishes Human Sepsis from Systemic Inflammatory Response Syndromes

Rationale: Sepsis is a leading cause of morbidity and mortality. Currently, early diagnosis and the progression of the disease are difficult to make. The integration of metabolomic and transcriptomic data in a primate model of sepsis may provide a novel molecular signature of clinical sepsis. Object...

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Hlavní autoři: Langley, Raymond J., Tipper, Jennifer L., Bruse, Shannon, Baron, Rebecca M., Tsalik, Ephraim L., Huntley, James, Rogers, Angela J., Jaramillo, Richard J., O'Donnell, Denise, Mega, William M., Keaton, Mignon, Kensicki, Elizabeth, Gazourian, Lee, Fredenburgh, Laura E., Massaro, Anthony F., Otero, Ronny M., Fowler, Vance G., Rivers, Emanuel P., Woods, Chris W., Kingsmore, Stephen F., Sopori, Mohan L., Perrella, Mark A., Choi, Augustine M. K., Harrod, Kevin S.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Thoracic Society 2014
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Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4214130/
https://ncbi.nlm.nih.gov/pubmed/25054455
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1164/rccm.201404-0624OC
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