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J Infect Dis DOI:10.1093/infdis/jiw531

Transcriptional categorization of the etiology of pneumonia syndrome in pediatric patients in malaria endemic areas.

Publication TypeJournal Article
Year of Publication2016
AuthorsSilterra, J, Gillette, MA, Lanaspa, M, Pellé, KG, Valim, C, Ahmad, R, Acácio, S, Almendinger, KD, Tan, Y, Madrid, L, Alonso, PL, Carr, SA, Wiegand, RC, Bassat, Q, Mesirov, JP, Milner, DA, Wirth, DF
JournalJ Infect Dis
Date Published2016 Nov 10
ISSN1537-6613
Abstract

BACKGROUND:  Pediatric acute respiratory distress in tropical settings is very common. Bacterial pneumonia is a major contributor to morbidity and mortality and requires adequate diagnosis for correct treatment. A rapid test that could identify bacterial (vs. other) infections would have great clinical utility.

METHODS AND FINDINGS:  We performed RNA-Seq and analyzed the transcriptomes of 68 pediatric patients with well-characterized clinical phenotype to identify transcriptional features associated with each disease class. We refined the features to predictive models (support vector machine, elastic net) and validated those models on an independent test set of 37 patients (80 - 85% accuracy).

CONCLUSIONS:  We have identified sets of genes that are differentially expressed in pediatric patients with pneumonia syndrome attributable to different infections and requiring different therapeutic interventions. This study demonstrates that human transcription signatures in infected patients recapitulate the underlying biology and provide models for predicting a bacterial diagnosis to inform treatment.

DOI10.1093/infdis/jiw531
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/27837008?dopt=Abstract

Alternate JournalJ. Infect. Dis.
PubMed ID27837008
Grant ListR01 GM074024 / GM / NIGMS NIH HHS / United States
U24 CA194107 / CA / NCI NIH HHS / United States