Open AccessA comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set
Author(s) -
Timothy E. Sweeney,
Aaditya Shidham,
Hector R. Wong,
Purvesh Khatri
Publication year - 2015
Publication title -
science translational medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.819
H-Index - 216
eISSN - 1946-6242
pISSN - 1946-6234
DOI - 10.1126/scitranslmed.aaa5993
Subject(s) - sepsis , inflammation , gene , gene expression , medicine , bioinformatics , biology , immunology , genetics
Five publicly available gene expression cohorts comparing SIRS/trauma to sepsis were split into time-matched subcohorts and summarized via multicohort analysis, which yielded an 11-gene set that was validated for discriminating patients with sepsis or infection in 15 independent cohorts.
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