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dc.contributor.authorKumar, Yadunanda
dc.contributor.authorLiang, Cui
dc.contributor.authorBo, Zheng
dc.contributor.authorRajapakse, Jagath C.
dc.contributor.authorOoi, Eng Eong
dc.contributor.authorTannenbaum, Steven Robert
dc.date.accessioned2014-08-26T15:34:55Z
dc.date.available2014-08-26T15:34:55Z
dc.date.issued2012-11
dc.date.submitted2012-03
dc.identifier.issn1935-2735
dc.identifier.urihttp://hdl.handle.net/1721.1/89061
dc.description.abstractBackground: Infections caused by dengue virus are a major cause of morbidity and mortality in tropical and subtropical regions of the world. Factors that control transition from mild forms of disease such as dengue fever (DF) to more life-threatening forms such as dengue hemorrhagic fever (DHF) are poorly understood. Consequently, there are no reliable methods currently available for early triage of DHF patients resulting in significant over-hospitalization. Methodology/Principal Findings: We have systematically examined the proteome, cytokines and inflammatory markers in sera from 62 adult dengue patients (44 DF; 18 DHF) with primary DENV infection, at three different times of infection representing the early febrile, defervescence and convalescent stages. Using fluorescent bioplex assays, we measured 27 cytokines in these serum samples. Additionally, we used multiple mass spectrometry methods for iTRAQ-based comparative analysis of serum proteome as well as measurements of protein adducts- 3-nitrotyrosine and 3-chlorotyrosine as surrogate measures of free radical activity. Using multiple methods such as OPLS, MRMR and MSVM-RFE for multivariate feature selection and classification, we report molecular markers that allow prediction of primary DHF with sensitivity and specificity of >80%. Conclusions/Significance: This report constitutes a comprehensive analysis of molecular signatures of dengue disease progression and will help unravel mechanisms of dengue disease progression. Our analysis resulted in the identification of markers that may be useful for early prediction of DHF during the febrile phase. The combination of highly sensitive analytical methods and novel statistical approaches described here forms a robust platform for biomarker discovery.en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pntd.0001887en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLosen_US
dc.titleSerum Proteome and Cytokine Analysis in a Longitudinal Cohort of Adults with Primary Dengue Infection Reveals Predictive Markers of DHFen_US
dc.typeArticleen_US
dc.identifier.citationKumar, Yadunanda, Cui Liang, Zheng Bo, Jagath C. Rajapakse, Eng Eong Ooi, and Steven R. Tannenbaum. “Serum Proteome and Cytokine Analysis in a Longitudinal Cohort of Adults with Primary Dengue Infection Reveals Predictive Markers of DHF.” Edited by Alan L. Rothman. PLoS Negl Trop Dis 6, no. 11 (November 29, 2012): e1887.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.mitauthorKumar, Yadunandaen_US
dc.contributor.mitauthorTannenbaum, Steven Roberten_US
dc.relation.journalPLoS Neglected Tropical Diseasesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKumar, Yadunanda; Liang, Cui; Bo, Zheng; Rajapakse, Jagath C.; Ooi, Eng Eong; Tannenbaum, Steven R.en_US
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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