Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1027101 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To mimic the initial phases of systemic Candida infections with dissemination via the bloodstream, we used an ex vivo whole blood infection model. Dual TP of C. auris in blood gave insights into fungal adaptations and survival mechanisms as well as the host response to the infection.
2022-01-12 | GSE179000 | GEO
Project description:Here we have performed targeted quantitative N-glycoproteomics from plasma samples of patients with confirmed positive blood culture together with age and sex matched febrile controls with negative blood culture reports. Three hundred and sixty eight potential N-glycopeptides were quantified by mass spectrometry and 149 were further selected for identification. Twenty four N-glycopeptides were identified with high confidence together with elucidation of the peptide sequence, N-glycosylation site, glycan composition and proposed glycan structures. these N-glycopeptides can be used as potential biomarkers of bloodstream infection.
2018-04-09 | PXD009048 | Pride
Project description:In this study, whole blood samples were used to determine the gene expression of febrile culture confirmed enteric fever cases (ST = S. Typhi; SPT = S. Paratyphi), febrile culture negative individuals presenting to hospital in Kathamandu (sEF = suspected enteric fever), and healthy community controls (CTRL).
2019-09-02 | GSE113866 | GEO
Project description:This study aims at identifying gene expression patterns in the whole blood that could differentiate patients with severe coronary atherosclerosis from subjects without detectable coronary artery disease (CAD), and assess associations of gene expression patterns with plaque features at coronary CT angiography (CCTA). Patients undergoing CCTA for suspected CAD, with no cardiovascular history, were enrolled. Coronary stenosis was quantified and CCTA plaque features were assessed. The whole-blood transcriptome was analyzed by RNA-Sequencing. We detected highly significant differences in the circulating transcriptome between patients with high-degree coronary stenosis (> 70%) at CCTA and subjects with the absence of coronary plaques. Noteworthy, regression analysis revealed expression signatures associated with Leaman score, segment involved score, segment-stenosis score, and plaque volume with density <150 HU at CCTA. This pilot study shows that patients with significant coronary stenosis are characterized by whole blood transcriptome profiles that may discriminate them from patients without CAD. Furthermore, our results suggest that whole blood transcriptional profiles may predict plaque characteristics.
2022-06-29 | GSE202625 | GEO
Project description:Diagnosis of brucellosis remains challenging for several reasons, including lack of culture sensitivity, nonspecific symptomatology, and high prevalence of positive serology in endemic areas. The main objectives of this study were to identify blood biomarkers specific to brucellosis compared to other endemic infections and to monitor changes in blood biomarkers during treatment. To obtain a global profile of the disease, we employed RNA sequencing (RNAseq) of whole blood RNA to measure host response against brucellosis infection in patients from Macedonia and Spain. Long-term follow up of patients was used to classify patients as having acute or chronic/reinfection brucellosis and as treatment responders and non-responders. We observed distinct gene expression differences between samples from acute brucellosis and control donors. The magnitude of gene expression changes was associated with antibody titers determined by standard serological tests for brucellosis, including the rose Bengal and standard agglutination tests. The expression signature characteristic of acute brucellosis was also different from that of subjects with leishmaniasis. In depth integration of clinical data and serological findings with our gene expression data will be performed to provide insight into cellular and molecular mechanisms of brucellosis infection. Whole blood from 169 subjects including 105 patients with suspected brucellosis, 17 patients with leishmaniasis, and 47 healthy controls.
2015-06-06 | E-GEOD-69597 | biostudies-arrayexpress
Project description:Background: Blood transcriptomic signatures for diagnosis of tuberculosis (TB) have shown promise in case-control studies but their diagnostic accuracy has not been prospectively validated in adults presenting with the full clinical spectrum of suspected TB, including extra-pulmonary TB, and its associated differential diagnoses with concomitant latent TB infection. Methods: Our study was nested within a prospective multi-center cohort study in secondary care in England. Patients had whole-blood taken for microarray to measure abundance of 47,275 transcripts and interferon-gamma release assays (IGRAs) at clinical presentation with suspected TB and were followed up for 6-12 months’ to determine final diagnoses based on pre-defined diagnostic criteria. The diagnostic accuracy of published transcriptomic signatures and a novel cohort-derived signature were assessed to generate area under the receiver-operating characteristic curves (AUC), sensitivities and specificities.
2021-01-26 | GSE144127 | GEO
Project description:Metagenomics analysis reveals co-infection of fungi and bacteria isolated from different regions of brain tissue from elderly persons and patients with Alzheimer's disease.
| EGAS00001002766 | EGA
Project description:Bacterial DNA isolated from bloodstream infection patients
| PRJNA813694 | ENA
Project description:Dengue patient whole blood samples were analyzed during onset of disease, at defervescence and at early convalescence. Availability of samples at very early time points of disease allows to study the onset of the innate immune response. The main objective of the study is to understand early events during acute dengue disease, and how these events can eventually lead to the obsereved pathology including vascular leakage, thrombocytopenia and lyphocytopenia. Patients with suspected dengue disease gave a blood sample within 72h after onset of fever (DK1). The sample was used to confirm dengue infection by RT-PCR and RNA was stored for microarray. The patients returned for a second sample between 4 and 7 days after onset of fever (DK2) and 15-25 days after onset of fever (DK3). These longitdinal samples were all analyzed by microarray for inter-sample comparison and accross sample comparison. In total eleven patients were analyzed at the three time points indicated.
2014-04-01 | E-GEOD-28991 | biostudies-arrayexpress