A Genomic Signature of Influenza Infection Shows Potential for Presymptomatic Detection, Guiding Early Therapy, and Monitoring Clinical Responses.
Abstract
Early, presymptomatic intervention with oseltamivir (corresponding to the onset of
a published host-based genomic signature of influenza infection) resulted in decreased
overall influenza symptoms (aggregate symptom scores of 23.5 vs 46.3), more rapid
resolution of clinical disease (20 hours earlier), reduced viral shedding (total median
tissue culture infectious dose [TCID50] 7.4 vs 9.7), and significantly reduced expression
of several inflammatory cytokines (interferon-γ, tumor necrosis factor-α, interleukin-6,
and others). The host genomic response to influenza infection is robust and may provide
the means for early detection, more timely therapeutic interventions, a meaningful
reduction in clinical disease, and an effective molecular means to track response
to therapy.
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https://hdl.handle.net/10161/11785Published Version (Please cite this version)
10.1093/ofid/ofw007Publication Info
McClain, Micah T; Nicholson, Bradly P; Park, Lawrence P; Liu, Tzu-Yu; Hero, Alfred
O; Tsalik, Ephraim L; ... Woods, Christopher W (2016). A Genomic Signature of Influenza Infection Shows Potential for Presymptomatic Detection,
Guiding Early Therapy, and Monitoring Clinical Responses. Open Forum Infect Dis, 3(1). pp. ofw007. 10.1093/ofid/ofw007. Retrieved from https://hdl.handle.net/10161/11785.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Thomas Burke
Manager, Systems Project
Geoffrey Steven Ginsburg
Adjunct Professor in the Department of Medicine
Dr. Geoffrey S. Ginsburg's research interests are in the development of novel paradigms
for developing and translating genomic information into medical practice and the integration
of personalized medicine into health care.
Micah Thomas McClain
Associate Professor of Medicine
Lawrence P Park
Associate Professor in Medicine
Ephraim Tsalik
Adjunct Associate Professor in the Department of Medicine
My research at Duke has focused on understanding the dynamic between host and pathogen
so as to discover and develop host-response markers that can diagnose and predict
health and disease. This new and evolving approach to diagnosing illness has the
potential to significantly impact individual as well as public health considering
the rise of antibiotic resistance.
With any potential infectious disease diagnosis, it is difficult, if not impossible,
to determine at the time of pre
Christopher Wildrick Woods
Professor of Medicine
1. Emerging Infections 2. Global Health 3. Epidemiology of infectious diseases
4. Clinical microbiology and diagnostics 5. Bioterrorism Preparedness 6. Surveillance
for communicable diseases 7. Antimicrobial resistance
Aimee Kirsch Zaas
Professor of Medicine
Medical education Genomic applications for diagnosis of infectious diseases Genomic
applications for prediction of infectious diseases
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