Ephraim L Tsalik1,2, Ayeaye Khine3, Abdossamad Talebpour3, Alaleh Samiei3, Vilcy Parmar3, Thomas W Burke1, Micah T Mcclain1,4, Geoffrey S Ginsburg1, Christopher W Woods1,4, Ricardo Henao1,5, Tino Alavie3. 1. Duke Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA. 2. Emergency Medicine Service, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA. 3. Qvella Corporation, Richmond Hill, Ontario, Canada. 4. Medicine Service, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA. 5. Pratt School of Engineering, Duke University, Durham, North Carolina, USA.
Abstract
OBJECTIVE: Distinguishing bacterial, viral, or other etiologies of acute illness is diagnostically challenging with significant implications for appropriate antimicrobial use. Host gene expression offers a promising approach, although no clinically useful test has been developed yet to accomplish this. Here, Qvella's FAST HR (Richmond Hill, Ontario, Canada) process was developed to quantify previously identified host gene expression signatures in whole blood in <45 minutes. METHOD: Whole blood was collected from 128 human subjects (mean age 47, range 18-88) with clinically adjudicated, microbiologically confirmed viral infection, bacterial infection, noninfectious illness, or healthy controls. Stabilized mRNA was released from cleaned and stabilized RNA-surfactant complexes using e-lysis, an electrical process providing a quantitative real-time reverse transcription polymerase chain reaction-ready sample. Threshold cycle values (CT) for 10 host response targets were normalized to hypoxanthine phosphoribosyltransferase 1 expression, a control mRNA. The transcripts in the signature were specifically chosen to discriminate viral from nonviral infection (bacterial, noninfectious illness, or healthy). Classification accuracy was determined using cross-validated sparse logistic regression. RESULTS: Reproducibility of mRNA quantification was within 1 cycle as compared to the difference seen between subjects with viral versus nonviral infection (up to 5.0 normalized CT difference). Classification of 128 subjects into viral or nonviral etiologies demonstrated 90.6% overall accuracy compared to 82.0% for procalcitonin (P = .06). FAST HR achieved rapid and accurate measurement of the host response to viral infection in less than 45 minutes. CONCLUSIONS: These results demonstrate the ability to translate host gene expression signatures to clinical platforms for use in patients with suspected infection. CLINICAL TRIALS REGISTRATION: NCT00258869. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2019.
OBJECTIVE: Distinguishing bacterial, viral, or other etiologies of acute illness is diagnostically challenging with significant implications for appropriate antimicrobial use. Host gene expression offers a promising approach, although no clinically useful test has been developed yet to accomplish this. Here, Qvella's FAST HR (Richmond Hill, Ontario, Canada) process was developed to quantify previously identified host gene expression signatures in whole blood in <45 minutes. METHOD: Whole blood was collected from 128 human subjects (mean age 47, range 18-88) with clinically adjudicated, microbiologically confirmed viral infection, bacterial infection, noninfectious illness, or healthy controls. Stabilized mRNA was released from cleaned and stabilized RNA-surfactant complexes using e-lysis, an electrical process providing a quantitative real-time reverse transcription polymerase chain reaction-ready sample. Threshold cycle values (CT) for 10 host response targets were normalized to hypoxanthine phosphoribosyltransferase 1 expression, a control mRNA. The transcripts in the signature were specifically chosen to discriminate viral from nonviral infection (bacterial, noninfectious illness, or healthy). Classification accuracy was determined using cross-validated sparse logistic regression. RESULTS: Reproducibility of mRNA quantification was within 1 cycle as compared to the difference seen between subjects with viral versus nonviral infection (up to 5.0 normalized CT difference). Classification of 128 subjects into viral or nonviral etiologies demonstrated 90.6% overall accuracy compared to 82.0% for procalcitonin (P = .06). FAST HR achieved rapid and accurate measurement of the host response to viral infection in less than 45 minutes. CONCLUSIONS: These results demonstrate the ability to translate host gene expression signatures to clinical platforms for use in patients with suspected infection. CLINICAL TRIALS REGISTRATION: NCT00258869. Published by Oxford University Press on behalf of Infectious Diseases Society of America 2019.
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