title: Potential biomarkers for the clinical prognosis of severe dengue.
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.
authors.affiliation: Laboratório de Virologia e Terapia Experimental, Departamento de Virologia, Centro de Pesquisas Aggeu Magalhães, Fiocruz, RecifePE, Brasil.
authors.forename: Mayara Marques Carneiro da
authors.initials: MM
authors.lastname: Silva
authors.forename: Laura Helena Vega Gonzales
authors.initials: LH
authors.lastname: Gil
authors.forename: Ernesto Torres de Azevedo
authors.initials: ET
authors.lastname: Marques
authors.forename: Carlos Eduardo
authors.initials: CE
authors.lastname: Calzavara-Silva
mesh_terms: D000951:Antigens, Neoplasm / Q000235:genetics*; D051017:Apoptosis Regulatory Proteins / Q000235:genetics; D015415:Biomarkers; D003546:Cysteine Endopeptidases / Q000235:genetics*; D058851:GPI-Linked Proteins / Q000235:genetics; D015870:Gene Expression; D006801:Humans; D007113:Immunity, Innate / Q000235:genetics; D007963:Leukocytes, Mononuclear / Q000276:immunology / Q000473:pathology; D008562:Membrane Glycoproteins / Q000235:genetics*; D046228:Microarray Analysis; D009363:Neoplasm Proteins / Q000235:genetics*; D054464:Peroxiredoxins / Q000235:genetics*; D011379:Prognosis; D012333:RNA, Messenger / Q000302:isolation & purification; D060888:Real-Time Polymerase Chain Reaction; D017452:Receptors, IgG / Q000235:genetics*; D017472:Receptors, Interleukin-1 / Q000235:genetics*; D012703:Serotyping; D019595:Severe Dengue / Q000175:diagnosis*; D012720:Severity of Illness Index
chemical_list: D000951:Antigens, Neoplasm; D051017:Apoptosis Regulatory Proteins; D015415:Biomarkers; C428200:FCGR3B protein, human; D058851:GPI-Linked Proteins; C120897:MAGED1 protein, human; D008562:Membrane Glycoproteins; D009363:Neoplasm Proteins; D012333:RNA, Messenger; D017452:Receptors, IgG; D017472:Receptors, Interleukin-1; C434984:TIRAP protein, human; C071313:LMP-2 protein; C515980:PRDX4 protein, human; D054464:Peroxiredoxins; D003546:Cysteine Endopeptidases
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