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.
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.
Project description:Pulmonary tuberculosis (TB) generates chronic systemic inflammation and metabolic dysregulation. The liver is the master regulator of metabolism and to determine the impact of pulmonary TB on this organ we undertook unbiased mRNA analyses of the liver in mice with TB. Pulmonary TB led to upregulation of genes in the liver related to interferon signalling and glycolysis, and downregulation of genes encoding gluconeogenesis rate-limiting enzyme
Project description:Diagnostic tests for tuberculosis (TB) infection poorly predict future incident disease risk. We investigated a cohort of asymptomatic HIV-uninfected household contacts of TB in South Africa in which baseline lung lesions indicative of Subclinical TB identified by [18F]-fluoro-2-deoxy-D-glucose (FDG)-positron emission/computed tomography (PET/CT) had high predictive value for future TB over 5 years. RNA-sequencing analysis of whole blood samples at baseline PET/CT, 5-15m PET/CT2, and the TB diagnosis of incident TB revealed persistent enrichment of neutrophil and monocyte transcriptional modules in those with Subclinical TB and worsening and discrete lung abnormalities, while expression of a core set of type I IFN genes related to FDG-avid lymph nodes. Leveraging multiple machine learning algorithms, we derived gene signatures of various PET/CT lesion Subclinical phenotypesTB, future lesion worsening and TB diagnosis. prevalent and incident TB. Validating signatures in two independent cohorts against TB progression within 6,12,18 and fup to 24-29-months, confirmed gave AUC of 0.75-0.95 and 0.77-0.87 with performance above optimal sensitivity and wminimum specificity for the WHO target product profile for TB progression.
Project description:Changes in the blood transcriptome upon treatment were studied in a cohort of 42 latent tuberculosis (TB) subjects and 8 active TB subiects. Samples were collected at diagnosis (prior the start of treatment) and post treatment and gene expression studied with Illumina microarrays. We hypothesize that individuals with latent TB at risk of developing active disease are immunologically closer to those with active TB and will thus display a blood transcriptomic signature similar to active TB subjects upon treatment. This signature should significantly differ from the one mounted by latent TB individuals at low risk of progression. Thus, monitoring blood transcriptomic changes following anti-TB therapy might inform on which latent TB subjects should be prioritized for receiving therapeutic intervention in order to prevent further transmission.
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).
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. Laser capture microdissection (LCM) was used to dissect out caseous granulomas from TB patients' lung tissues, excluding uninvolved areas. Total RNA were isolated from LCM-derived materials and used for microarray. As a control, parenchyma from normal lung tissues was prepared in the same manner as caseous granulomas. Sample GSM501252, Caseum 2-C, is missing a CEL file.