Genome-wide transcriptional profiling of HIV positive and negative adults with active tuberculosis, latent TB infection and other diseases
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE37250 | GEO | 2013/10/23
SECONDARY ACCESSION(S): PRJNA159143
REPOSITORIES: GEO
Similar Datasets
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 adult populations. Transcriptional signatures were identified that distinguished active TB from LTBI, active TB from other diseases, and active TB from both LTBI and other diseases in HIV+/- patients. Adults were recruited from Cape Town, South Africa (n=300) and Karonga, Malawi (n=237) 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.
2013-10-23 | E-GEOD-37250 | 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 a paediatric cohort from Kenya Transcriptional signatures were identified that distinguished active TB from LTBI, active TB from other diseases, and active TB from both LTBI and other diseases in HIV+/- patients.
2014-05-01 | GSE39939 | 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 a paediatric cohort from Kenya Transcriptional signatures were identified that distinguished active TB from LTBI, active TB from other diseases, and active TB from both LTBI and other diseases in HIV+/- patients. Children were recruited from 2 hospitals in Coast Province, Kenya (n=157) who were either HIV+ or HIV - with either active TB (culture confirmed), active TB (culture negative), 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-39939 | 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: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:To study the role of miRNAs in the transition from latent to active TB and to discover candidate biomarkers that may help predict TB progression, we have employed miRNA microarray expression profiling as a discovery platform to probe the transcriptome of peripheral blood mononuclear cells (PBMCs) with active TB, latent TB infection (LTBI), and healthy donors.Patients were recruited at the Shanghai Public Health Clinical Centre (Shanghai, China) from December, 2008 to May, 2009. The diagnosis of active TB was based on clinical presentation, chest radiography, and acid-fast stain of sputum smear.All the patients were HIV negative, as diagnosed by the Livzon Anti-HIV1/2 EIA Kit (Livzon Pharmaceutical Group Inc., Guangdong, China). Additional tests were also performed to detect hepatitis B virus (HBV) and hepatitis C virus (HCV) by using the Abbott AxSYM anti-HBsAg and HCV 3.0 antibody assay kit (Abbott Laboratories, Illinois) to exclude HBV- and HCV-positive patients (these 2 diseases are highly prevalent in China). Patients with a diabetes history were also excluded because diabetes could increase the risk of TB. Peripheral venous blood was drawn before treatment. Subjects with LTBI and healthy donors both without a history of clinical TB or other infectious diseases were recruited from the staff at the Shanghai Public Health Clinical Centre. TST and IGRA (T-SPOTM-BM-..TB, Oxford Immunuotec, Oxfordshire, U.K) results were used to distinguish the two groups. The LTBI group was TST-positive (TST>10 mm) and IGRA-positive while the healthy donors were TST-negative (TST<5 mm) and IGRA-negative. RNA of PBMC from 6 patients with active TB, 6 donors with Latent TB, and 3 healthy controls (total of 15 biologically independent samples) were used to perform Agilent Human miRNA (version 3) microarray , No replicates were included
2011-05-10 | E-GEOD-29190 | biostudies-arrayexpress
Project description:While blood transcriptional profiling has improved diagnosis and understanding of disease pathogenesis of adult tuberculosis (TB), no studies applying gene expression profiling of children with TB have been described so far. In this study, we have compared whole blood gene expression in childhood TB patients, as well as in healthy latently infected (LTBI) and uninfected (HC) children in a cohort of Warao Amerindians in the Delta Amacuro in Venezuela. We identified a 116-gene signature set by means of random forest analysis that showed an average prediction error of 11% for TB vs. LTBI and for TB vs. LTBI vs. HC in our dataset. Furthermore, a minimal set of only 9 genes showed a significant predictive value for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. Additionally, a minimal gene set of 42 genes with a comparable predictive value to the 116-gene set in both our dataset and the previously published literature cohorts for the comparsion of TB vs. LTBI vs. HC was identified. In order to identify a robust representative gene set that would hold stand among different ethnic populations, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these ten genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to diagnose 78% of the TB cases correctly with 100% specificity. We conclude that our data justify the further exploration of our signature set as biomarkers to diagnose childhood TB. Furthermore, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts. In this study, 27 children 1 to 15 years of age with TB (n=9), LTBI (n=9) and HC (n=9) were recruited between May 2010 and December 2010. Tuberculin skin test (TST) and QuantiFERON-TB Gold In-Tube assay (QFT-GIT) were performed on all children. A sputum sample was collected from all children with expectoration and a gastric aspirate was taken from all children under 6 years of age. Children with active TB were diagnosed based on culture of M. tuberculosis (n=2) or on the basis of clinical, epidemiological and radiological features (n=7). The latter group were children with a TST = 10 mm or a positive QFT-GIT result who presented all of: persistent fever >38M-BM-0C objectively recorded daily for at least two weeks, persistent cough for more than three weeks, weight loss (>5% reduction in weight compared with the highest weight recorded in last three months) or failure to thrive (documented crossing of percentile lines in the preceding three months), persistent lethargy or decrease in playfulness/activity reported by the parent and absence of clinical response on broad-spectrum antibiotics. Standard antero-posterior and lateral chest radiographs (CXRs) were taken from all children. Two independent experts, blinded to all clinical information, evaluated the CXRs and documented their findings on a standard report form. Where the two objective experts disagreed, a third expert was consulted and final consensus was achieved. A diagnosis of TB was only made when the CXR was consistent with TB9 and the child showed a positive clinical response to anti-TB treatment. Children were followed up clinically, radiologically and, in case of a negative TST at inclusion, by means of TST at six and 12 months after inclusion. LTBI was defined as a TST = 10mm and a positive QFT-GIT with a negative culture result on inclusion in the absence of radiological and clinical evidence of TB disease on inclusion as well as on t=6 and t=12 months. HC were children with a TST = 0 mm at inclusion and at t=6 and t=12 months. The HC had a negative QFT-GIT and a negative culture result at inclusion without radiological or clinical evidence of TB disease on inclusion nor on t=6 and t=12 months. TB patients were sampled before initiation of anti-TB treatment. Of three of the nine TB patients, a follow-up sample was taken when the patient was in anti-TB treatment for five months. All children were HIV-negative. 27 samples in total where analyzed, active TB infection (TB, n=9), Latent TB infection (LTBI, n=9) and healthy controls (HC, n=9) . Gene expression values were log2-transformed and differentially expressed genes were identified based on log2 fold changes (M-values). P values were calculated with a Bayes-regularized one-way ANOVA. Random Forest recursive feature elimination was used to find a signature geneset capable of discrimination active TB from latent TB and from non-infected individuals.
2013-02-05 | E-GEOD-41055 | biostudies-arrayexpress
Project description:In previous study, patients with Diabetes Mellitus (DM) have high risk of active TB and LTBI. Here we report and compare 16S rRNA data of DM-LTBI and DM-nonLTBI in gut microbiota to identify differential candidates between the two groups. The results showed the differential genera have potential to predict the LTBI status in patients.
2023-01-18 | GSE199810 | GEO
Project description:To study the role of miRNAs in the transition from latent to active TB and to discover candidate biomarkers that may help predict TB progression, we have employed miRNA microarray expression profiling as a discovery platform to probe the transcriptome of peripheral blood mononuclear cells (PBMCs) with active TB, latent TB infection (LTBI), and healthy donors.Patients were recruited at the Shanghai Public Health Clinical Centre (Shanghai, China) from December, 2008 to May, 2009. The diagnosis of active TB was based on clinical presentation, chest radiography, and acid-fast stain of sputum smear.All the patients were HIV negative, as diagnosed by the Livzon Anti-HIV1/2 EIA Kit (Livzon Pharmaceutical Group Inc., Guangdong, China). Additional tests were also performed to detect hepatitis B virus (HBV) and hepatitis C virus (HCV) by using the Abbott AxSYM anti-HBsAg and HCV 3.0 antibody assay kit (Abbott Laboratories, Illinois) to exclude HBV- and HCV-positive patients (these 2 diseases are highly prevalent in China). Patients with a diabetes history were also excluded because diabetes could increase the risk of TB. Peripheral venous blood was drawn before treatment. Subjects with LTBI and healthy donors both without a history of clinical TB or other infectious diseases were recruited from the staff at the Shanghai Public Health Clinical Centre. TST and IGRA (T-SPOT®.TB, Oxford Immunuotec, Oxfordshire, U.K) results were used to distinguish the two groups. The LTBI group was TST-positive (TST>10 mm) and IGRA-positive while the healthy donors were TST-negative (TST<5 mm) and IGRA-negative.
2011-05-10 | GSE29190 | GEO
Project description:In latent tuberculosis infection (LTBI) spread of the bacteria is contained by a persistent immune response, which includes CD4+ T cells as important contributors. Here we show that TB-specific CD4+ T cells have a characteristic chemokine expression signature (CXCR3+CCR6+CCR4-; Th* cells), and that the overall number of Th* cells is significantly increased in LTBI donors. We have comprehensively characterized the transcriptional signature of Th* cells and find significant differences to conventional Th1, Th17 and Th2 cells, but no major changes between healthy and LTBI donors. Th* cells display linage-specific signatures of both Th1 and Th17 cells, but also have a unique gene expression program including genes associated with susceptibility to TB, enhanced T cell activation, enhanced cell survival, and induction of a cytotoxic program akin to CTL cells. Overall, the gene expression signature of Th* reveals characteristics of cells important in controlling latent infections.
2014-07-18 | GSE56179 | GEO