Discovery and validation of circulating miRNAs for the clinical prognosis of severe dengue
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PROVIDER: PRJNA788392 | ENA |
REPOSITORIES: ENA
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Project description:Background: dengue is a potentially life-threatening viral infection. Early prognostic markers of severe complications may improve case management and reduce dengue-related mortalities. This study aimed to identify circulating microRNAs (miRNAs) as biomarkers for predicting severe dengue. Methods: Serum samples from dengue-infected patients were collected on the first day of admission. Patients were followed up for 14 days after admission to determine the final diagnosis. Participants were divided into non-severe and severe dengue, as defined by WHO 2009 criteria. Circulating microtranscriptome analysis was performed using the NanoString miRNA Expression Assay. The expression level of candidate miRNAs were then validated by quantitative reverse transcription-PCR (qRT-PCR) method. Findings: The discovery cohort (N=19) lead to the identification of 37 differentially expressed miRNAs between the two groups. Six miRNAs (miR122-5p, miR1246, miR1303, miR574-5p, miR30d-5p, and miR424-5p) were selected and further validated in the larger cohort (N=135). The qRT-PCR analysis confirmed that the six miRNAs expression levels were significantly higher in the severe dengue group compared to the non-severe group. Based on receiver operating characteristic (ROC) analysis, miR574-5p and miR1246 displayed the highest diagnostic performance in discriminating between severe from non-severe dengue (AROC curve =0·83). Additionally, miR574-5p and miR1246 had high sensitivity and high negative predictive value for detecting severe dengue. Multivariate analysis suggested that serum miR574-5p was an independent predictor of severe dengue (odds ratio 3·30, 95% CI 1·81-6·04; p<0·001). Interpretation: Circulating miRNAs, especially miR-574-5p and miR-1246, could be promising diagnostic and prognostic biomarkers for severe dengue.
2022-10-26 | GSE190749 | GEO
Project description:BackgroundEarly prognostic markers of severe dengue may improve case management and reduce dengue-related mortalities. This study aimed to identify circulating microRNAs (miRNAs) as biomarkers for predicting severe dengue.MethodologySerum samples from dengue-infected patients were collected on the first day of admission. Patients were followed up for 14 days after admission to determine the final diagnosis. Participants were divided into non-severe and severe dengue, as defined by WHO 2009 criteria. Circulating microtranscriptome analysis was performed using NanoString miRNA Expression Assay. The expression level of candidate miRNAs were then validated by quantitative reverse transcription-PCR method.Principal findingsThe discovery cohort (N = 19) lead to the identification of 37 differentially expressed miRNAs between the two groups. Six up-regulated candidate miRNAs were selected and further validated in the larger cohort (N = 135). MiR574-5p and miR1246 displayed the highest diagnostic performance in discriminating between severe from non-severe dengue (ROC-AUC = 0.83). Additionally, miR574-5p and miR1246 had high sensitivity and high negative predictive value for detecting severe dengue. Multivariate analysis suggested that serum miR574-5p was an independent predictor of severe dengue (odds ratio 3.30, 95% CI 1.81-6.04; p<0.001).ConclusionOur study indicated that circulating miRNAs, especially miR-574-5p and miR-1246, might be a promising diagnostic and prognostic biomarker for severe dengue upon hospital admission, especially when using these biomarkers on days 1 to 2 before the onset of severe dengue complications.
| S-EPMC9576100 | biostudies-literature
Project description:Our hypothesis is that dengue induces different innate immune responses in patients with mild respective severe dengue. We further hypothesize that severe dengue infection is a consequence of an over reactive inflammatory response which could be inhibited in an early stage by immune suppressants. We hypothesize that the drugs used in this study induce a down regulated inflammatory response; VP-16 by triggering apoptosis and Rosiglitazone by inhibiting NFkB related cytokine production In-vitro dengue infected U937, transcriptional assessment
2014-04-01 | E-GEOD-28985 | biostudies-arrayexpress
Project description:Dengue viruses cause two severe diseases that alter vascular fluid barrier functions, dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). While the mechanisms that lead to vascular permeability are unknown, the endothelium plays a central role in regulating fluid and cellular efflux from capillaries. Thus, dysregulation of endothelial cells functions by dengue virus infection may contribute to pathogenesis and severe disease. We used microarrays to investigate the effect of dengue virus infection on gene expression within primary human endothelial cells at various times post infection and identified numerous upregulated antiviral and immune response genes. Early passage primary endothelial cells (HUVECs) were mock infected (no virus) or infected with dengue virus and total RNA collected at 3 timepoints: 12, 24, and 48 hours post infection. Multiple timepoints were analyzed to identify changes in gene expression levels over time. Gene expression from both mock infected and dengue virus infected endothelial cells was evaluated to determine fold induction at each timepoint.
2012-04-10 | E-GEOD-34628 | biostudies-arrayexpress
Project description:Dengue viruses cause two severe diseases that alter vascular fluid barrier functions, dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). While the mechanisms that lead to vascular permeability are unknown, the endothelium plays a central role in regulating fluid and cellular efflux from capillaries. Thus, dysregulation of endothelial cells functions by dengue virus infection may contribute to pathogenesis and severe disease. We used microarrays to investigate the effect of dengue virus infection on gene expression within primary human endothelial cells at various times post infection and identified numerous upregulated antiviral and immune response genes.
2012-04-11 | GSE34628 | GEO
Project description:Dengue virus infection can result in severe symptoms including shock and hemorrhage, but an understanding of the molecular correlates of disease severity is lacking. Bulk transcriptomics on blood samples are difficult to interpret because the blood is composed of different cell types that may react differently to virus infection. Dengue virus RNA can be detected in human plasma, however identifying the cells carrying dengue virus through the bloodstream in vivo has proven challenging. Here we used our recently developed viscRNA-Seq approach to profile transcriptomes of thousands of single blood peripheral mononuclear cells from 6 human subjects with dengue fever and severe dengue, as well as to characterize the cell types associated with dengue virus in the human blood. We found that although no bulk transcriptome marker for severe dengue exists, the expression of MX2 in naive B cells, of CD163 in CD14+/CD16+ monocytes and of other genes in specific cell types is highly predictive for severe dengue. We detected virus-associated cells in the blood of two severe dengue patients with high viral load and discovered the majority of these to be B cells expressing germline IgM or IgD immunoglobulin chains and naive markers but also showing signs of activation and expression of CD69, CXCR4, and other surface receptors. In bystander B cells we detected signs of strong immune activation, parallel hypersomatic evolution and, in one severe degue subject, an anomalously large clone of highly mutated, IgG1 plasmablasts that could be reactive to dengue virus. This study presents a high-resolution molecular exploration into dengue virus infection in humans and can be generalized to any RNA virus.
2018-11-19 | GSE116672 | GEO
Project description:Our hypothesis is that dengue induces different innate immune responses in patients with mild respective severe dengue. We further hypothesize that severe dengue infection is a consequence of an over reactive inflammatory response which could be inhibited in an early stage by immune suppressants. We hypothesize that the drugs used in this study induce a down regulated inflammatory response; VP-16 by triggering apoptosis and Rosiglitazone by inhibiting NFkB related cytokine production
2014-04-01 | GSE28985 | GEO
Project description:Dengue virus is responsible for 400 million human infections each year . The characterization of exact molecular components of immune response associated may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with previous exposure to dengue virus. Transcriptomic profiling using RNA sequencing was performed on memory CD4 and CD8 T cells isolated from individuals with primary or secondary dengue infections from two endemic areas (Sri Lanka and Nicaragua), as well as from dengue negative healthy controls.
2019-09-29 | GSE87505 | GEO
Project description:serum miRNAs among infants with dengue virus and influenza virus infection
2015-03-31 | E-MTAB-3118 | biostudies-arrayexpress
Project description:This pilot study, aimed to profile the host transcriptome as a potential strategy for identifying specific biomarkers for dengue prediction and detection. High-throughput RNA-sequencing (RNA-seq) was employed to generate host transcriptome profiles in 16 dengue patients and 10 healthy controls. Differentially expressed genes (DEGs) were identified in patients with severe dengue and those with dengue with warning signs compared to healthy individuals. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to elucidate the functions of upregulated and downregulated genes. Compared to healthy controls, 6466 genes were significantly differentially expressed (P < 0.05) in the dengue with warning signs group and 3082 genes in the severe dengue group, with over half being upregulated. The major KEGG pathways implicated included transport and catabolism (14.4%-16.3%), signal transduction (6.6%-7.3%), global and overview maps (6.7%-7.1%), viral diseases (4.6%-4.8%), and the immune system (4.4%-4.6%). Several genes exhibited consistent and significant upregulation across all dengue patients, regardless of severity: Interferon alpha inducible protein 27 (IFI27), Potassium Channel Tetramerisation Domain Containing 14 (KCTD14), Syndecan 1 (SDC1), DCC netrin 1 receptor (DCC), Ubiquitin C-terminal hydrolase L1 (UCHL1), Marginal zone B and B1 cell specific protein (MZB1), Nestin (NES), C-C motif chemokine ligand 2 (CCL2), TNF receptor superfamily member 17 (TNFSF17), and TNF receptor superfamily member 13B (TNFRSF13B). Further analysis revealed potential biomarkers for severe dengue prediction, including TNF superfamily member 15 (TNFSF15), Plasminogen Activator Inhibitor-2 (SERPINB2), motif chemokine ligand 7 (CCL7), aconitate decarboxylase 1 (ACOD1), Metallothionein 1G (MT1G) and Myosin Light Chain Kinase (MYLK2), which were expressed 3.5 times, 2.9 times, 2.3 times, 2.1 times, 1.7 times, and 1.4 times greater, respectively, than dengue patients exhibiting warning signs. The identification of these host biomarkers through RNA-sequencing holds promising implications and potential to augment existing dengue detection algorithms, contributing significantly to improved diagnostic and prognostic capabilities.
2024-10-10 | GSE279208 | GEO