Blood Transcriptional Profiles of TB in South Africa
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE19442 | GEO | 2010/08/11
SECONDARY ACCESSION(S): PRJNA123921
REPOSITORIES: GEO
Similar Datasets
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:The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African paediatric populations. Transcriptional signatures were identified that distinguished active TB from LTBI, and active TB from other diseases.
2014-05-01 | GSE39940 | GEO
Project description:Isoniazid resistant TB in South Africa
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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: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:The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African paediatric populations. Transcriptional signatures were identified that distinguished active TB from LTBI, and active TB from other diseases. Children were recruited from Cape Town, South Africa (n=157) and Blantyre, Malawi (n=177) who were either HIV+ or HIV - with either active TB, LTBI or OD. Blood was collected into PAX gene tubes (PreAnalytiX). Total RNA integrity was assessed using an Agilent 2100 Bioanalyzer (Agilent, Palo Alto, CA). Labeled cRNA was hybridized to Illumina Human HT-12 Beadchips. Data were analysed in R.
2014-05-01 | E-GEOD-39940 | 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. 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: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: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.
2010-08-11 | GSE22098 | GEO
Project description:Most individuals infected with Mycobacterium tuberculosis can control the infection by forming and maintaining TB granulomas at the local infection foci. However, when the chronic infection (also known as latency) becomes active, the caseous center of TB granuloma enlarges, and it liquefies and cavitates, ultimately releasing bacilli into airway. Deciphering how genes are regulated within TB granulomas will help to understand the granuloma biology. Therefore, we performed genome-wide microarray on caseous human pulmonary TB granulomas and compared with normal lung tissues.
2010-06-02 | GSE20050 | GEO