A 20-Gene Set Predictive of Progression to Severe Dengue
Author(s) -
Makeda Robinson,
Timothy E. Sweeney,
Rina BarouchBentov,
Malaya K. Sahoo,
Larry Kalesinskas,
Francesco Vallania,
Ana María Sanz,
Eliana Ortiz-Lasso,
Ludwig L. Albornóz,
Fernando Rosso,
José G. Montoya,
Benjamin A. Pinsky,
Purvesh Khatri,
Shirit Einav
Publication year - 2019
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2019.01.033
Subject(s) - dengue fever , cohort , dengue virus , receiver operating characteristic , gene , medicine , gene signature , predictive power , biology , immunology , virology , oncology , gene expression , genetics , philosophy , epistemology
There is a need to identify biomarkers predictive of severe dengue. Single-cohort transcriptomics has not yielded generalizable results or parsimonious, predictive gene sets. We analyzed blood samples of dengue patients from seven gene expression datasets (446 samples, five countries) using an integrated multi-cohort analysis framework and identified a 20-gene set that predicts progression to severe dengue. We validated the predictive power of this 20-gene set in three retrospective dengue datasets (84 samples, three countries) and a prospective Colombia cohort (34 patients), with an area under the receiver operating characteristic curve of 0.89, 100% sensitivity, and 76% specificity. The 20-gene dengue severity scores declined during the disease course, suggesting an infection-triggered host response. This 20-gene set is strongly associated with the progression to severe dengue and represents a predictive signature, generalizable across ages, host genetic factors, and virus strains, with potential implications for the development of a host response-based dengue prognostic assay.
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