Project description:Whole-blood RNA from active TB patients and their contacts (uninfected and with latent infection) was sequenced to study the different gene expression profile on each group. Differentially expressed genes could be used as potential diagnostic tools and provide information of the spectrum of TB disease.
Project description:Monocytes and granulocytes were isolated from blood of TB patients and household contacts. DNA was isolated and methylation profile was measured using Illumina HumanMethylation450. House-hold contacts were matched to TB patients by gender and age. From each subject, two profiles (monocytes and granulocytes) were collected.
Project description:Monocytes and granulocytes were isolated from blood of TB patients and household contacts. RNA was isolated and microRNA expression was measured using microarrays. House-hold contacts were matched to TB patients by gender and age. From each subject, two profiles (monocytes and granulocytes) were collected.
Project description:Monocytes and granulocytes were isolated from blood of TB patients and household contacts. RNA was isolated and gene expression was measured using microarrays. House-hold contacts were matched to TB patients by gender and age. From each subject, two profiles (monocytes and granulocytes) were collected.
Project description:Identification of blood transcriptional biomarkers linked to different phases of tuberculosis. The discovery of a transcriptional signature that distinguishes subclinical TB from incipient TB at baseline could lead to tuberculosis interventions that combat the tuberculosis epidemic in the context of household contacts.
Project description:Monocytes and granulocytes were isolated from blood of TB patients and household contacts. DNA was isolated and methylation profile was measured using Illumina HumanMethylation450.
Project description:Monocytes and granulocytes were isolated from blood of TB patients and household contacts. RNA was isolated and microRNA expression was measured using microarrays.
Project description:Monocytes and granulocytes were isolated from blood of TB patients and household contacts. RNA was isolated and gene expression was measured using microarrays.
Project description:Blood transcriptional signatures may predate clinical diagnosis and detect subclinical incipient tuberculosis (TB) disease. To validate such blood signatures, close contacts of TB patients were recruited from multiple TB clinics in London. Close contacts of active TB were defined as individuals with a cumulative duration of exposure of greater than eight hours in a confined space to the index case prior to initiation of treatment. Known human immunodeficiency virus (HIV)-positive patients were excluded. At enrolment, interferon gamma release assays (IGRAs) were done using the QuantiFERON-TB Plus assay (Qiagen, Germany), and peripheral blood was collected into Tempus tubes for whole genome transcriptional profiling by RNA sequencing. Participants who progressed to active TB were identified by linkage with the national electronic TB register. Local case notes were reviewed to identify individuals who had received preventative treatment. This submission contains data from n=360 adult participants, of which n=9 progressed to TB during a median follow-up time of 1.9 years. The data were used for two publications: The first publication (Roe et al 2019) makes use of an initial subset of n=333 participants, of which n=6 progressed to TB during the median follow-up time of 346 days. In the second publication (Gupta et al 2019), we extended the dataset to n=360 participants and the median follow-up time to 1.9 years; n=3 initial non-progressors progressed to TB during this extended follow-up.
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.
