Expression data in sera from patients with anti-tuberculosis drug-induced liver injury
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ABSTRACT:
PROVIDER: PRJNA593211 | ENA |
REPOSITORIES: ENA
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Project description:The pathogenesis of liver damage induced by anti-tuberculosis drugs is not fully understood, andcurrently, there is no clinically useful biomarker for early diagnosis and treatment.By comparing the differences in the expression of global gene transcripts in the serum of patients with and without anti-tuberculosis drugs induced liver injury, dysregulation genes not only provides a basis for studying pathogenesis, but also provides important information to find new targets for diagnosis and treatment of disease. We used microarrays to detail the global programme of gene expression in sera underlying anti-tuberculosis drug-induced liver injury and identified distinct classes of transcript during this process.
2021-01-01 | GSE141362 | GEO
Project description:The antimicrobials isoniazid and pyrazinamide, used for the treatment of tuberculosis are known to cause drug-induced liver injury in humans. This limits the effectiveness of tuberculosis treatment, resulting in incomplete cure, relapse and the development of antimicrobial resistance. MicroRNAs are known to be good biomarkers of disease, with the microRNA miR-122 being diagnostic for liver injury. In this study zebrafish larvae were exposed to the anti-tuberculosis drugs isoniazid and pyrazinamide at concentrations which demonstrated liver injury by microscopy and histology. The aim of this study is to understand small RNA changes occurring in anti-tuberculosis drug-induced liver injury and to attempt to identify novel microRNA biomarkers of liver injury.
2023-12-25 | GSE146260 | GEO
Project description:Association analysis of DNA methylation in Anti-tuberculosis Drug Induced Liver Injury case and control samples from peripheral blood
2021-12-24 | GSE124415 | GEO
Project description:Small RNAs in anti-tuberculosis drug-induced liver injury
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Project description:Transcriptional profiling of Mycobacterium tuberculosis H37Rv exposed to immune sera from C57/BL6 mice immunized with a conjugate of Bacillus anthracis protective antigen and arabinomannan vs. protective antigen alone
2017-03-09 | GSE77711 | GEO
Project description:Genome-wide methylation analysis in Anti-tuberculosis Drug Induced Liver Injury case and control samples
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Project description:Human infection with Mycobacterium tuberculosis results in a continuum of ill-defined, clinical manifestations with stable latent M. tuberculosis infection (LTBI) and severe active disease at the ends. Identifying different states of infection is of importance to tuberculosis (TB) control since risk of developing active disease varies among different asymptomatic states while infectiousness varies among patients with different bacterial burden. We investigated changes in proteome-scale antibody responses during disease progression in a non-human primate model of tuberculosis. We probed M. tuberculosis proteome microarrays with serial sera collected from three infection-outcome groups (active, reactivation, and latent). We found that each infection outcome is associated with characteristic changes in the antibody levels and number of antigenic targets, which suggested an association between antibody responses and bacillary burden. Additional proteome-scale serological profiling of > 400 human TB suspects established that antibody responses are positively associated with bacterial load. Thus tuberculosis-specific antibody levels and number of antigenic targets increases with disease progression.
2012-07-06 | GSE30721 | GEO
Project description:Understanding the immune response to tuberculosis requires greater knowledge of humoral responses. To characterize antibody targets and the effect of disease parameters on target recognition, we developed a systems immunology approach that integrated detection of antibodies against the entire Mycobacterium tuberculosis proteome, bacterial metabolic and regulatory pathway information, and patient data. Probing ~4,000 M. tuberculosis proteins with sera from >500 suspected tuberculosis patients worldwide revealed that antibody responses recognized ~10% of the bacterial proteome. This result defines the immunoproteome of M. tuberculosis, which is rich in membrane-associated and extracellular proteins. Most serum reactivity during active tuberculosis focused onto ~0.5% of the proteome. Within this pool, which is selectively enriched for extracellular proteins (but not for membrane-associated proteins), relative target preference varied among patients. The shift in relative M. tuberculosis protein reactivity observed with active tuberculosis defines the evolution of the humoral immune response during M. tuberculosis infection and disease. Peripheral blood was collected from prospectively enrolled TB suspects among subjects seeking care for pulmonary symptoms at clinics associated with national TB control programs in 11 countries. M. tuberculosis proteome microarrays representing 4099 bacterial protein spots were probed with sera from 561 TB suspects. Based on the final diagnosis, they belonged to two classes: TB (n=254) and Non-TB Disease (n=307). In addition, healthy individuals negative to Latent TB Infection (LTBI neg, n=64) were also tested (negative control sera). Each serum was tested with a single array and no replicate experiments were performed. The reactivity of a serum to an M. tuberculosis protein (reactivity call) was defined based on the distribution of negative control sera intensity for that protein using Z-statistics. Based on the distribution of reactivity calls, 27 outlier samples reacting with more than 20 proteins were excluded from further analysis. The association of reactivity calls of each protein with TB/NTBD status of TB suspects was determined by estimating odds ratio and 95% confidence interval.
2010-07-13 | E-GEOD-19433 | biostudies-arrayexpress
Project description:Understanding the immune response to tuberculosis requires greater knowledge of humoral responses. To characterize antibody targets and the effect of disease parameters on target recognition, we developed a systems immunology approach that integrated detection of antibodies against the entire Mycobacterium tuberculosis proteome, bacterial metabolic and regulatory pathway information, and patient data. Probing ~4,000 M. tuberculosis proteins with sera from >500 suspected tuberculosis patients worldwide revealed that antibody responses recognized ~10% of the bacterial proteome. This result defines the immunoproteome of M. tuberculosis, which is rich in membrane-associated and extracellular proteins. Most serum reactivity during active tuberculosis focused onto ~0.5% of the proteome. Within this pool, which is selectively enriched for extracellular proteins (but not for membrane-associated proteins), relative target preference varied among patients. The shift in relative M. tuberculosis protein reactivity observed with active tuberculosis defines the evolution of the humoral immune response during M. tuberculosis infection and disease.
2010-07-14 | GSE19433 | GEO
Project description:Human infection with Mycobacterium tuberculosis results in a continuum of ill-defined, clinical manifestations with stable latent M. tuberculosis infection (LTBI) and severe active disease at the ends. Identifying different states of infection is of importance to tuberculosis (TB) control since risk of developing active disease varies among different asymptomatic states while infectiousness varies among patients with different bacterial burden. We investigated changes in proteome-scale antibody responses during disease progression in a non-human primate model of tuberculosis. We probed M. tuberculosis proteome microarrays with serial sera collected from three infection-outcome groups (active, reactivation, and latent). We found that each infection outcome is associated with characteristic changes in the antibody levels and number of antigenic targets, which suggested an association between antibody responses and bacillary burden. Additional proteome-scale serological profiling of > 400 human TB suspects established that antibody responses are positively associated with bacterial load. Thus tuberculosis-specific antibody levels and number of antigenic targets increases with disease progression.
2012-07-06 | GSE30722 | GEO