Similar Datasets
Project description:Typical symptoms of uncomplicated dengue fever (DF) include headache, muscle pains, rash, cough, and vomiting. A proportion of cases progress to severe dengue hemorrhagic fever (DHF), associated with vascular permeability, thrombocytopenia, and hemorrhages. Progression to severe dengue is difficult to diagnose at the onset of fever, which complicates patient triage, posing a socio-economic burden on health systems. To identify parameters associated with protection and susceptibility to DHF, we pursued a systems immunology approach integrating plasma chemokine profiling, high-dimensional mass cytometry and peripheral blood mononuclear cell transcriptomic analysis at the onset of fever in a prospective study conducted in Indonesia.
2023-04-13 | GSE215835 | GEO
Project description:These 40 microarray datasets represent whole blood samples from 31 primary dengue infection patients and 9 healthy volunteers from Managua, Nicaragua. The dengue infection patients include both primary dengue fever (DF) and primary dengue hemorrhagic fever (DHF) cases.
2018-07-31 | GSE96656 | GEO
Project description:Group 2 innate lymphoid cells (ILC2) promote the production of a type-2 immunological environment in the uterus and have tissue-specific gene signatures that change with pregnancy.
2023-04-15 | E-MTAB-5806 | biostudies-arrayexpress
Project description:Dengue represents one of the most serious life-threatening vector-borne infectious diseases that afflict ~50 million people across the globe annually. Whilst symptomatic infections are frequently reported, asymptomatic dengue largely remain unnoticed. The immune correlates conferring protection to individuals that remain clinically asymptomatic have seldom been investigated. We determined the gene expression profiles of host immune factors in individuals with asymptomatic infections, and whose cognate household members showed symptoms and signs consistent to clinical dengue infection. Results provide insight in association of certain host genes to protection against clinical dengue. Blood samples were collected from Dengue Fever (DF) and Dengue Haemorrhagic Fever (DHF) patients in Malaysia who were admitted to university of Malaya Medical Centre (UMMC), Ampang Hospital (AmpangHospital), and Hospital Tengku Ampuan Rahimah (HTAR) Klang. Blood from their asymptomatic household members were also collected. Their peripheral blood mononuclear cells (PBMCs) were isolated. 29 sample pairs (SP) of dengue patients and their accompanying asymptomatic household members were chosen on the following basis for two-channel microarray experiments: patients who have shown positive results for DENV infection with at least 2 diagnostics tests indicating positivity. Positive results for the IgM-captured ELISA were P/N ratio more than 2.0, while total antibody titer of more than 1:2560 or 4 fold increase from acute to convalescence phase was considered positive in HI assay. PRNT, a neutralization test, was used as a measure for levels of neutralizing antibodies and was considered high when it was more than 1:640, based on a reduction neutralization of 50%.
2013-09-06 | E-GEOD-50634 | biostudies-arrayexpress
Project description:Group 2 innate lymphoid cells (ILC2) promote the production of a type-2 immunological environment in the uterus and have tissue-specific gene signatures that change with pregnancy.
2023-04-15 | E-MTAB-5803 | biostudies-arrayexpress
Project description:We looked at the whole-blood transcriptional profiling on dengue patients sampled within 72h of fever presentation and compared the signatures with autologous samples drawn at defervescence and convalescence and to control patients with fever of other etiology. Our data show that the early response in patients mimics those previously only described in vitro and suggests that this innate immune responses may initiate the later adaptive immune responses. Total RNA obtained from whole-blood of dengue patients with fever presentation, defervescence and convalescence are compared. Also, dengue patients with fever presentation are compared with control patients which are with fever of other etiology. 119 samples are analysed, which include 31 dengue patients and 26 control patients.
2011-12-31 | E-GEOD-28405 | biostudies-arrayexpress
Project description:Around 700,000 SNPs were genotyped in 290 controls, 252 dengue fever patients and 159 dengue shock syndrome patients from Thailand.
| EGAS00001002756 | EGA
Project description: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 and 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) and 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 The samples correspond to blood samples from 26 patients from a cohort in Brazil, divided into three classes, DHF, DF, ND, as follows: 18 were confirmed dengue 3, genotype III cases, among which 10 were diagnosed as dengue hemorrhagic fever (DHF) and 8 as classical dengue fever (DF), and 8 control samples (ND) from febrile patients confirmed to be not infected with dengue. None of the DHF patients presented vasculopathy signs and symptoms at the time the samples used in the functional genomic characterization were collected. At the time of collection the patients referred approximately 5 days of disease and the absence of fever was reported two to three days after enrollment. The samples from the DF, DHF and ND patients were matched to avoid significant differences regarding patient age, gender, dengue infection history and days of symptoms among the groups.
2010-09-01 | E-GEOD-18090 | biostudies-arrayexpress
Project description:ILC2 cells from mice cultured with or without hypoxia for indicated time period were analysed
2022-05-25 | GSE196811 | GEO
Project description:Background Deciphering host responses contributing to dengue shock syndrome (DSS), the life-threatening form of acute viral dengue infections, is required to improve both the differential prognosis and the treatments provided to DSS patients, a challenge for clinicians. Methodology/Principal Findings Based on a prospective study, we analyzed the genome-wide expression profiles of whole blood cells from 48 matched Cambodian children: 19 progressed to DSS while 16 and 13 presented respectively classical dengue fever (DF) or dengue hemorrhagic fever grades I/II (DHF). Using multi-way analysis of variance (ANOVA) and adjustment of p-values to control the False Discovery Rate (FDR<10%), we identified a signature of 2959 genes differentiating DSS patients from both DF and DHF, and showed a strong association of this DSS-gene signature with the dengue disease phenotype. Using a combined approach to analyse the molecular patterns associated with the DSS-gene signature, we provide an integrative overview of the transcriptional responses altered in DSS children. In particular, we show that the transcriptome of DSS children blood cells is characterized by a decreased abundance of transcripts related to T and NK lymphocyte responses and by an increased abundance of anti-inflammatory and repair/remodeling transcripts. We also show that unexpected pro-inflammatory gene patterns at the interface between innate immunity, inflammation and host lipid metabolism, known to play pathogenic roles in acute and chronic inflammatory diseases associated with systemic vascular dysfunction, are transcriptionnally active in the blood cells of DSS children. Conclusions/Significance We provide a global while non exhaustive overview of the molecular mechanisms altered in of DSS children and suggest how they may interact to lead to final vascular homeostasis breakdown. We suggest that some mechanisms identified should be considered putative therapeutic targets or biomarkers of progression to DSS. Whole blood genome-wide expression profiles of Cambodian children (3-15 year old) infected with dengue virus, having different clinical outcomes were compared. The studied cohort included 16 acute dengue fever samples, 13 acute dengue hemorrhagic fever samples and 19 acute dengue shock syndrome samples, classified according to the 1997 WHO criteria and randomised for age, gender, viral serotype and day of blood sampling after onset of fever. Microarray data were normalised using the quantile method. Multi-way ANOVA was used to compared the three clinical groups, at several False Discovery Rate of 10. Unsupervised Hierarchical Clustering (TreeView) showed that DSS patients clustered together (17 out of 19), identifying a gene-signature of DSS. Bio-informatics-based analysis using the demonstration version 7.1 of Ingenuity Pathway Analysis software (IPA; Ingenuity Systems, www.ingenuity.com) associated with manual and litterature-based analysis was carried out to identify the most relevant functional processes associated with the identified DSS gene expression profile. This was done by combining most informative canonical pathways identified using IPA, genes having the strongest association with the disease phenotype based on ANOVA analysis, and similarities to molecular patterns altered in other systemic inflammatory processes associated with endothelial dysfunction.
2010-07-21 | E-GEOD-17924 | biostudies-arrayexpress