eprintid: 13283 rev_number: 21 userid: 677 importid: 499 dir: disk0/00/01/32/83 datestamp: 2012-08-03 16:31:13 lastmod: 2021-03-10 06:24:56 status_changed: 2012-08-03 16:31:13 type: article metadata_visibility: show contact_email: marques@pitt.edu item_issues_count: 0 eprint_status: archive creators_name: Nascimento, EJM creators_name: Braga-Neto, U creators_name: Calzavara-Silva, CE creators_name: Gomes, ALV creators_name: Abath, FGC creators_name: Brito, CAA creators_name: Cordeiro, MT creators_name: Silva, AM creators_name: Magalhãnes, C creators_name: Andrade, R creators_name: Gil, LHVG creators_name: Marques, ETA creators_email: ejmn@pitt.edu creators_email: creators_email: creators_email: creators_email: creators_email: creators_email: creators_email: creators_email: creators_email: creators_email: creators_email: marques@pitt.edu creators_id: EJMN creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: MARQUES contributors_type: http://www.loc.gov/loc.terms/relators/EDT contributors_name: Ng, Lisa F. P. title: Gene expression profiling during early acute febrile stage of dengue infection can predict the disease outcome ispublished: pub divisions: sch_gsph_infectiousdiseasesmicrobiology full_text_status: public abstract: Background: We report the detailed development of biomarkers to predict the clinical outcome under dengue infection. Transcriptional signatures from purified peripheral blood mononuclear cells were derived from whole-genome gene-expression microarray data, validated by quantitative PCR and tested in independent samples. Methodology/Principal Findings: The study was performed on patients of a well-characterized dengue cohort from Recife, Brazil. The samples analyzed were collected prospectively from acute febrile dengue patients who evolved with different degrees of disease severity: classic dengue fever or dengue hemorrhagic fever (DHF) samples were compared with similar samples from other non-dengue febrile illnesses. The DHF samples were collected 2-3 days before the presentation of the plasma leakage symptoms. Differentially-expressed genes were selected by univariate statistical tests as well as multivariate classification techniques. The results showed that at early stages of dengue infection, the genes involved in effector mechanisms of innate immune response presented a weaker activation on patients who later developed hemorrhagic fever, whereas the genes involved in apoptosis were expressed in higher levels. Conclusions/Significance: Some of the gene expression signatures displayed estimated accuracy rates of more than 95%, indicating that expression profiling with these signatures may provide a useful means of DHF prognosis at early stages of infection. © 2009 Nascimento et al. date: 2009-11-19 date_type: published publication: PLoS ONE volume: 4 number: 11 refereed: TRUE id_number: 10.1371/journal.pone.0007892 other_id: NLM PMC2775946 pmcid: PMC2775946 pmid: 19936257 mesh_headings: Adult mesh_headings: Aged mesh_headings: Aged, 80 and over mesh_headings: Apoptosis mesh_headings: Biological Markers--metabolism mesh_headings: Brazil mesh_headings: Cohort Studies mesh_headings: Dengue--diagnosis mesh_headings: Dengue--genetics mesh_headings: Dengue--metabolism mesh_headings: Dengue Virus--genetics mesh_headings: Dengue Virus--metabolism mesh_headings: Female mesh_headings: Fever--diagnosis mesh_headings: Fever--metabolism mesh_headings: Gene Expression Regulation mesh_headings: Humans mesh_headings: Male mesh_headings: Middle Aged mesh_headings: Multivariate Analysis mesh_headings: Oligonucleotide Array Sequence Analysis mesh_headings: Treatment Outcome chemical_names: Biological Markers citation: Nascimento, EJM and Braga-Neto, U and Calzavara-Silva, CE and Gomes, ALV and Abath, FGC and Brito, CAA and Cordeiro, MT and Silva, AM and Magalhãnes, C and Andrade, R and Gil, LHVG and Marques, ETA (2009) Gene expression profiling during early acute febrile stage of dengue infection can predict the disease outcome. PLoS ONE, 4 (11). document_url: http://d-scholarship-dev.library.pitt.edu/13283/1/Gene_Expression_Profiling.pdf document_url: http://d-scholarship-dev.library.pitt.edu/13283/8/licence.txt