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A 20-Gene Set Predictive of Progression to Severe Dengue

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 integ...

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Detalles Bibliográficos
Autores principales: Robinson, Makeda, Sweeney, Timothy E., Barouch-Bentov, Rina, Sahoo, Malaya Kumar, Kalesinskas, Larry, Vallania, Francesco, Sanz, Ana Maria, Ortiz-Lasso, Eliana, Albornoz, Ludwig Luis, Rosso, Fernando, Montoya, Jose G., Pinsky, Benjamin A., Khatri, Purvesh, Einav, Shirit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352713/
https://www.ncbi.nlm.nih.gov/pubmed/30699342
http://dx.doi.org/10.1016/j.celrep.2019.01.033
Descripción
Sumario: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.