Molecular classification of outcomes from dengue virus -3 infections

Highlights • We conducted a biomarker study associated with complications of dengue infection. • We apply a novel liquid separations-proteomics profiling to detect dengue markers. • Differences in plasma proteins are measured in subjects with 3 infectious outcomes. • A machine learning classifier (r...

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Bibliographic Details
Published in:Journal of clinical virology 2015-03, Vol.64, p.97-106
Main Authors: Brasier, Allan R, Zhao, Yingxin, Wiktorowicz, John E, Spratt, Heidi M, Nascimento, Eduardo J.M, Cordeiro, Marli T, Soman, Kizhake V, Ju, Hyunsu, Recinos, Adrian, Stafford, Susan, Wu, Zheng, Marques, Ernesto T.A, Vasilakis, Nikos
Format: Article
Language:English
Subjects:
Acute phase reaction
Adult
Allergy and Immunology
alpha-Macroglobulins - analysis
Biomarker pipeline
Biomarkers - analysis
Biomarkers - blood
Complement Activation
Dengue
Dengue - diagnosis
Dengue - genetics
Dengue - virology
Dengue virus
Dengue Virus - genetics
Early Diagnosis
Female
Humans
Infectious Disease
Male
Phenotype
Platelet Count
Proteomics
ROC Curve
Selected reaction monitoring
Severe Dengue - diagnosis
Severe Dengue - genetics
Severe Dengue - virology
Tropomyosin - analysis
Viral Load
Young Adult
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Summary:Highlights • We conducted a biomarker study associated with complications of dengue infection. • We apply a novel liquid separations-proteomics profiling to detect dengue markers. • Differences in plasma proteins are measured in subjects with 3 infectious outcomes. • A machine learning classifier (random forest) accurately distinguishes disease outcomes. • Our results suggest that distinct pathophysiologic processes underly dengue fever outcomes.
ISSN:1386-6532
1873-5967
DOI:10.1016/j.jcv.2015.01.011