TB disease classification
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE74092 | GEO | 2015/12/21
SECONDARY ACCESSION(S): PRJNA298996
REPOSITORIES: GEO
Similar Datasets
Project description:Validation of gene expression levels to assess classification of TB patients and healthy controls qPCR gene expression profiling. Whole blood gene expression from TB patients (positive in GenXpert assay) and healthy controls; both tuberculin skin test positive (TSTpos) and -negative (TSTneg).
2015-12-21 | E-GEOD-74092 | biostudies-arrayexpress
Project description:The aim of this study was to compare the transcriptional response to TB in regions of different incidence / prevalence. Experimental Design: Whole blood collected in tempus tubes from patients with different spectra of TB disease. All patients were sampled prior to the initiation of any antimycobacterial therapy. Active Pulmonary TB: PTB - All patients confirmed by isolation of Mycobacterium Tuberculosis on culture of sputum. Latent TB: LTB - All patients were screened at a tuberculosis clinic. All were positive by Interferon-Gamma Release assay(IGRA); specifically Quantiferon Gold In-Tube Assay (Cellestis, Australia). Latent patients had no clinical, or microbiological evidence of active infection and were asymptomatic. Experimental Variables: Patient group: Active PTB; Latent TB. There are no healthy controls in this dataset as it was being used for validation only. Controls: Latent TB individuals are used as a control for PTB in this dataset since there are few to no unexposed adult controls in Cape Town.
2010-08-11 | E-GEOD-19442 | biostudies-arrayexpress
Project description:To evaluate whether TB infections are associated with any lncRNA signatures in humans, we therefore used human lncRNAs microarray and hierarchical clustering analyses to compare lncRNAs expression in active TB patients and healthy controls. From 15,683 denoted lncRNAs, 5076 lncRNAs were identified to be differentially expressed (TB/HC > 2 or TB/HC< 0.5) in peripheral blood mononuclear cells (PBMCs) between TB and healthy subjects.
2021-02-10 | GSE125870 | GEO
Project description:This dataset aims to dissect the whole blood transcriptional signature by determining if elements of the whole blood signature are still present in purified cell subpopulations. We aimed to characterise the transcriptional response during TB and identify if cell subsets drove changes in whole blood cellular composition. The aim of the experiment was to define transcriptional signatures in neutrophils, monocytes, CD4+ and CD8+ cells from blood of active TB patients and healthy controls to distinguish the signature of active TB patients from each other and from healthy controls. This will help in the diagnosis of active tuberculosis, which normally relies on culture of the bacilli, which can take up to 6 weeks, sometimes the bacilli cannot be obtained from sputum thus requiring invasive techniques obtaining bronchoalveolar lavage (BAL). In some cases the bacill cannot be grown from sputum or BAL. Experimental design : Whole blood collected in EDTA tubes from patients with active TB disease and healthy controls. Blood was then processed or separated sequentially into neutrophil, monocyte, CD4+ or CD8+ populations and then processed. All patients were sampled prior to the initiation of any antimycobacterial therapy. Active pulmonary TB: PTB - all patients confirmed by isolation of Mycobacterium tuberculosis on culture of sputum or bronchoalvelolar lavage fluid. Healthy controls - these were volunteers without exposure to TB who were negative by both tuberculin skin test (<15mm if BCG vaccinated, <6mm if unvaccinated); who were also negative by IGRA (as described above). This dataset: PTB, n = 7 patients (whole blood, neutrophils, monocytes, CD4+ or CD8+). BCG+, n = 4 patients (whole blood, neutrophils, monocytes, CD4+ or CD8+). Experimental variables : Patient group: Active PTB; Healthy controls (BCG vaccinated only) and Cell populations: Neutrophils, Monocytes, CD4+, CD8+. Ethnicity - a range of ethnic groups is represented.
2010-08-11 | E-GEOD-19443 | biostudies-arrayexpress
Project description:This dataset aims to dissect the whole blood transcriptional signature by determining if elements of the whole blood signature are still present in purified cell subpopulations. We aimed to characterise the transcriptional response during TB and identify if cell subsets drove changes in whole blood cellular composition. The aim of the experiment was to define transcriptional signatures in neutrophils, monocytes, CD4+ and CD8+ cells from blood of active TB patients and healthy controls to distinguish the signature of active TB patients from each other and from healthy controls. This will help in the diagnosis of active tuberculosis, which normally relies on culture of the bacilli, which can take up to 6 weeks, sometimes the bacilli cannot be obtained from sputum thus requiring invasive techniques obtaining bronchoalveolar lavage (BAL). In some cases the bacill cannot be grown from sputum or BAL.
2010-08-11 | GSE19443 | GEO
Project description:Tuberculosis (TB), caused by infection with Mycobacterium tuberculosis (M. tuberculosis), is a major cause of morbidity and mortality worldwide and efforts to control TB are hampered by difficulties with diagnosis, prevention and treatment. Most people infected with M. tuberculosis remain asymptomatic, termed latent TB, with a 10% lifetime risk of developing active TB disease, but current tests cannot identify which individuals will develop disease. The immune response to M. tuberculosis is complex and incompletely characterized, hindering development of new diagnostics, therapies and vaccines. The goals of this study include: 1. Identify a transcript signature for active TB in intermediate and high burden settings, correlating with radiological extent of disease and reverting to that of healthy controls following treatment; 2. Identify a specific transcript signature that discriminated active TB from other inflammatory and infectious diseases; 3. Classify TB signature using modular and pathway analysis tools. Three milliliters of whole blood was collected in Tempus tubes from 12 pediatric streptococcus, 40 pediatric staphylococcus, 31 still’s disease, 82 pediatric systemic lupus erythematosus (SLE) and 28 adult SLE patients. RNA was extracted and globin reduced. Labeled cRNA was hybridized to Illumina Human HT-12 Beadchips. Healthy controls were included to match patients’ demographic data. Genespring software was used to analyze active TB transcript signatures, comparing with healthy controls and other inflammatory and infectious diseases.
2010-08-11 | E-GEOD-22098 | biostudies-arrayexpress
Project description:This dataset aims to validate and confirm the signature identified in the training set. The aim of the experiment was to define transcriptional signatures in whole blood of TB patients (before drug treatment) and healthy controls to distinguish the signature of Latent and Active TB patients from each other and from healthy controls. This will help in diagnosis of active tuberculosis which normally relies on culture of the bacilli, which can take up to 6 wks, and sometimes the bacilli cannot be obtained from sputum thus requiring invasive techniques obtaining bronchoalveolar lavage (BAL). In some cases the bacill cannot be grown from sputum or BAL. Secondly the aim was to determine whether Latent patients have a homogeneous or heterogeneous signature, one may expect the latter since it is not possible to determine by the present tests (Tuberculin skin test - TST - or MTb antigen responsiveness of blood cells to produce IFN-gamma - IGRA assay) whether the mycobacteria has been cleared, is still present but is controlled, or if patients are recently infected or reactivated and will develop active TB.
2010-08-11 | GSE19444 | GEO
Project description:We performed a global proteomic profile of eccrine sweat sampled from patients with active pulmonary TB, other lung diseases (non-TB disease), and healthy controls. A comparison of proteomics results between Active-TB, Non-TB and Healthy Controls was done in search for proteins unique to the active TB-patient cohort as well as proteins unique to those without TB disease. We conclude tthat global proteomic profiling of eccrine sweat collected from TB and non-TB patients is a viable approach for the identification of unique proteins differentially present based on clinical cohort. These proteins may represent unique biomarker profiles that upon further verification and validation could be used to develop a non-sputum based test for diagnosis of active TB.
2016-03-14 | PXD003224 | Pride
Project description:Immune activation is associated with increased risk of tuberculosis (TB) disease in infants. We performed a prospective case–control analysis to identify the drivers of immune activation in infants and found cytomegalovirus (CMV) stimulated IFN-γ-expressing cells to be associated with CD8+ T cell activation (Spearman’s rho r = 0.241, p <0.0001). Among 49 infants who developed incident TB disease and 129 matched controls who remained healthy we found that CMV and Epstein–Barr virus (EBV) specific IFN-γ responses were associated with increased risk of developing TB (Fisher’s Exact Test, p=0.049, OR 2.14, 95% CI 1.03-4.47), and associated with a shorter time to TB diagnosis (Log Rank Mantel-Cox p=0.012). T cell activation and CMV are associated with lower mycobacterial antigen-specific immune responses following immunization with Bacille Calmette-Guerin (BCG) and MVA85A, suggesting that increased susceptibility to TB in infants with virus infection may, in part, be due to poor responsiveness to vaccination. Understanding of the causes and impact of T cell activation could transform strategies used to protect against TB disease.
2018-12-05 | GSE98550 | GEO