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US 9,850,539 B2Granted
Biomarkers for the molecular classification of bacterial infection
AssigneeDuke University
InventorsEphraim Tsalik, Vance Fowler, Christopher W. Woods, Joseph E. Lucas, Geoffrey S. Ginsburg, Sun Hee Ahn
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Abstract
Disclosed herein are biomarkers useful for identifying and/or classifying bacterial infections in a subject.
Claims8
A method of identifying and treating a subject suspected of having a bacterial blood stream infection (BSI), the method comprising:
- a) determining in a peripheral blood cell sample of the subject the gene expression levels of two or more biomarkers selected from the group consisting of the biomarkers of Factor 20 and Factor 74 listed in Table 8 and Table 10, wherein the determined gene expression levels are RNA expression levels determined by microarray analysis, or PCR, or a combination thereof;
- and
- b) administering an effective amount of antibiotic therapy to treat the subject identified as having a bacterial BSI, wherein the subject is identified as having the bacterial BSI when the gene expression levels of the two or more biomarkers are different than the gene expression levels for the biomarkers in a control with known bacterial infection status.
A method of distinguishing and treating Staphylococcus aureus blood stream infection (BSI) from Escherichia coli BSI in a subject suspected of having a bacterial infection, the method comprising:
- a) determining in a peripheral blood cell sample of the subject, the gene expression levels of two or more biomarkers selected from the group consisting of the biomarkers of Factor 20 and Factor 74 listed in Table 8 and Table 10, wherein the determined gene expression levels are RNA expression levels determined by microarray analysis, or PCR, or a combination thereof;
- and
- b) administering an effective amount of appropriate antibacterial therapy to treat the subject identified as having a S. aureus BSI or E. coli BSI, wherein the subject is identified as having the S. aureus BSI or E. coli infection when the gene expression levels of the two or more biomarkers are different than the gene expression levels for the biomarkers in a control with known bacterial infection status.
Dependencies are inferred from the claim text.