Project description:Genome wide DNA methylation profiling of PBMC from South African patients either infected with HIV only or coinfected with HIV and tuberculosis (TB). The Illumina Infinium 27k Human DNA methylation Beadchip was used to obtain DNA methylation profiles from PBMC samples. Samples included 19 HIV patients and 20 HIV/TB co-infected patients.
Project description:Efforts to eradicate TB are largely threatened by drug-resistant tuberculosis, particularly, multidrug-resistant tuberculosis (MDR-TB). It is imperative to find one or more specific biomarkers for diagnosing MDR-TB earlier and declining the incidence. Growing evidences have showed lncRNAs are widely expressed and take part in the genesis and development of many diseases, including tuberculosis. Therefore, to screen the differential lncRNAs among MDR-TB, drug-sensitive tuberculosis(DS-TB) and healthy controls(HCs) is a good strategy to acquire potential biomarkers for MDR-TB diagnosis and partly describe the mechanism of MDR-TB. Here, the present study aimed to investigate the differential expression profile of lncRNAs in serum among patients with MDR-TB ,DS-TB and HCs using lncRNA microarray
Project description:Diagnosis of TB, especially in the presence of an HIV co-infection, can be challenging when using conventional diagnostic methods. In this study, we analyzed global gene expression data from PBMC of patients that were either mono-infected with HIV or co-infected with HIV and TB in order to identify a TB-specific gene signature. Total RNA obtained from PBMC from a South African cohort. Microarry analysis was performed to compare gene expression in patients either infected with HIV or co-infected with HIV/TB.
Project description:Genome wide DNA methylation profiling of PBMC from South African patients either infected with HIV only or coinfected with HIV and tuberculosis (TB). The Illumina Infinium 27k Human DNA methylation Beadchip was used to obtain DNA methylation profiles from PBMC samples. Samples included 19 HIV patients and 20 HIV/TB co-infected patients. Bisulphite converted DNA were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
Project description:Background. Diabetes mellitus (DM) increases tuberculosis (TB) severity. We previously reported baseline blood microarray data in a South Indian pulmonary TB cohort with or without DM, finding no qualitative or quantitative differences in immune pathway gene expression. To extend those observations, we compared baseline and longitudinal blood gene expression in TB patients from South India and Brazil. Methods. Adults with pulmonary TB, with or without DM, were enrolled at two sites in India and one site in Brazil. Blood RNA sequencing (RNAseq) was performed at baseline and treatment months 2 and 6. Differentially expressed genes (DEGs) and pathway activation were compared by group and site. Comparison was also made with published RNAseq data from the TANDEM study South African and Romanian cohorts. Findings. No consistent pattern of DEGs discriminated TB from TBDM in India or Brazil. Pathway analysis also showed little commonality between sites, although a shared profile of complement activation and matrix degradation was identified in TBDM. Indian participants showed marked longitudinal changes in DEGs and pathways at 2 and 6 months of treatment, whereas these were stable in Brazilian participants. High variability in gene expression was observed between sites at baseline and during treatment. Interpretation. DM exacerbates matrix degradation in TB but is not associated with major immune gene expression or pathway differences compared to TB without DM. Comparison between cohorts in India, Brazil, Romania, and South Africa revealed an unexpectedly high degree of site-specific variation that may reflect population differences in TB pathobiology.
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.
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.
Project description:Analysis of UK blood transcriptional profiles before treatment to indentify changes that occur during (2 weeks, 2 months), at the end of treatment (6 months) and after treatment (12 months) Analysis of South African blood transcriptional profiles before treatment to indentify changes that occur during (2 weeks, 2 months), at the end of treatment (6 months) and after treatment (12 months) Total RNA obtained from active TB patients before, during and after treatment
Project description:Background. The bacterial foodborne pathogen Campylobacter jejuni is a common cause of acute gastroenteritis and is also associated with the postinfectious neuropathies, Guillain-Barré and Miller Fisher syndromes. This study described the use of multilocus sequence typing and DNA microarrays to examine the genetic content of a collection of South African C. jejuni strains, recovered from patients with enteritis, Guillain-Barré or Miller Fisher syndromes. Methodology/Principal Findings. The comparative genomic analysis by using multilocus sequence typing and DNA microarrays demonstrated that the South African strains with Penner heat-stable (HS) serotype HS:41 were clearly distinct from the other South African strains. Further analysis of the DNA microarray data demonstrated that the serotype HS:41 strains from South African GBS and enteritis patients are highly similar in gene content. Interestingly, the South African HS:41 strains were distinct in gene content when compared to serotype HS:41 strains from other geographical locations due to the presence of genomic islands, referred to as Campylobacter jejuni integrated elements. Only the genomic integrated element CJIE1, a Campylobacter Mu-like prophage, was present in the South African HS:41 strains whereas absent in the closely-related HS:41 strains from Mexico. A more distantly-related HS:41 strain from Canada possessed both genomic integrated elements CJIE1 and CJIE2. Conclusion/Significance. These findings demonstrated that these C. jejuni integrated elements may contribute to the differentiation of closely-related C. jejuni strains. In addition, the presence of bacteriophage-related genes in CJIE1 may probably contribute to increasing the genomic diversity of these C. jejuni strains. This comparative genomic analysis of the foodborne pathogen C. jejuni provides fundamental information that potentially could lead to improved methods for analyzing the epidemiology of disease outbreaks and their sources. Keywords: comparative genomic indexing analysis
Project description:A mass spectrometry strategy of parallel reaction monitoring was used to detect and validate differential proteins in serum. Here are the data including 3 groups of MDR-TB, DS-TB and HC.