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Potential biomarkers for the clinical prognosis of severe dengue

Overview of attention for article published in Memórias do Instituto Oswaldo Cruz, September 2013
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Article details
Title
Potential biomarkers for the clinical prognosis of severe dengue
Published in
Memórias do Instituto Oswaldo Cruz, September 2013
DOI 10.1590/0074-0276108062013012
Pubmed ID
Authors
Abstract

Currently, several assays can confirm acute dengue infection at the point-of-care. However, none of these assays can predict the severity of the disease symptoms. A prognosis test that predicts the likelihood of a dengue patient to develop a severe form of the disease could permit more efficient patient triage and treatment. We hypothesise that mRNA expression of apoptosis and innate immune response-related genes will be differentially regulated during the early stages of dengue and might predict the clinical outcome. Aiming to identify biomarkers for dengue prognosis, we extracted mRNA from the peripheral blood mononuclear cells of mild and severe dengue patients during the febrile stage of the disease to measure the expression levels of selected genes by quantitative polymerase chain reaction. The selected candidate biomarkers were previously identified by our group as differentially expressed in microarray studies. We verified that the mRNA coding for CFD, MAGED1, PSMB9, PRDX4 and FCGR3B were differentially expressed between patients who developed clinical symptoms associated with the mild type of dengue and patients who showed clinical symptoms associated with severe dengue. We suggest that this gene expression panel could putatively serve as biomarkers for the clinical prognosis of dengue haemorrhagic fever.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Vietnam 1 <1%
United States 1 <1%
Mexico 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 101 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 14%
Student > Bachelor 14 13%
Student > Master 11 10%
Student > Doctoral Student 7 7%
Student > Ph. D. Student 7 7%
Other 15 14%
Unknown 37 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 25 24%
Agricultural and Biological Sciences 16 15%
Biochemistry, Genetics and Molecular Biology 8 8%
Immunology and Microbiology 5 5%
Veterinary Science and Veterinary Medicine 3 3%
Other 9 8%
Unknown 40 38%