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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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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
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author 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
author_facet 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
author_sort Robinson, Makeda
collection PubMed
description 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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spelling pubmed-63527132019-02-07 A 20-Gene Set Predictive of Progression to Severe Dengue 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 Cell Rep Article 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. Cell Press 2019-01-29 /pmc/articles/PMC6352713/ /pubmed/30699342 http://dx.doi.org/10.1016/j.celrep.2019.01.033 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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
A 20-Gene Set Predictive of Progression to Severe Dengue
title A 20-Gene Set Predictive of Progression to Severe Dengue
title_full A 20-Gene Set Predictive of Progression to Severe Dengue
title_fullStr A 20-Gene Set Predictive of Progression to Severe Dengue
title_full_unstemmed A 20-Gene Set Predictive of Progression to Severe Dengue
title_short A 20-Gene Set Predictive of Progression to Severe Dengue
title_sort 20-gene set predictive of progression to severe dengue
topic Article
url 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
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