Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783390902991978496 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6352713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT robinsonmakeda a20genesetpredictiveofprogressiontoseveredengue AT sweeneytimothye a20genesetpredictiveofprogressiontoseveredengue AT barouchbentovrina a20genesetpredictiveofprogressiontoseveredengue AT sahoomalayakumar a20genesetpredictiveofprogressiontoseveredengue AT kalesinskaslarry a20genesetpredictiveofprogressiontoseveredengue AT vallaniafrancesco a20genesetpredictiveofprogressiontoseveredengue AT sanzanamaria a20genesetpredictiveofprogressiontoseveredengue AT ortizlassoeliana a20genesetpredictiveofprogressiontoseveredengue AT albornozludwigluis a20genesetpredictiveofprogressiontoseveredengue AT rossofernando a20genesetpredictiveofprogressiontoseveredengue AT montoyajoseg a20genesetpredictiveofprogressiontoseveredengue AT pinskybenjamina a20genesetpredictiveofprogressiontoseveredengue AT khatripurvesh a20genesetpredictiveofprogressiontoseveredengue AT einavshirit a20genesetpredictiveofprogressiontoseveredengue AT robinsonmakeda 20genesetpredictiveofprogressiontoseveredengue AT sweeneytimothye 20genesetpredictiveofprogressiontoseveredengue AT barouchbentovrina 20genesetpredictiveofprogressiontoseveredengue AT sahoomalayakumar 20genesetpredictiveofprogressiontoseveredengue AT kalesinskaslarry 20genesetpredictiveofprogressiontoseveredengue AT vallaniafrancesco 20genesetpredictiveofprogressiontoseveredengue AT sanzanamaria 20genesetpredictiveofprogressiontoseveredengue AT ortizlassoeliana 20genesetpredictiveofprogressiontoseveredengue AT albornozludwigluis 20genesetpredictiveofprogressiontoseveredengue AT rossofernando 20genesetpredictiveofprogressiontoseveredengue AT montoyajoseg 20genesetpredictiveofprogressiontoseveredengue AT pinskybenjamina 20genesetpredictiveofprogressiontoseveredengue AT khatripurvesh 20genesetpredictiveofprogressiontoseveredengue AT einavshirit 20genesetpredictiveofprogressiontoseveredengue |