Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Monocyte Transcriptional Networks are Associated with Tuberculin Skin Test Status in Uganda

ABSTRACT: Understanding mechanisms of resistance to M. tuberculosis (M.tb) infection in humans could identify novel therapeutic strategies as it has for other infectious diseases. We hypothesized that monocytes from household contacts of pulmonary tuberculosis patients that failed to convert their tuberculin skin tests (TSTNEG) would respond differently to M.tb infection when compared to matched tuberculin skin test positive controls (TSTPOS). We obtained genome-wide transcriptional profiles of M.tb-infected peripheral blood monocytes from 10 TSTNEG and 18 TSTPOS Ugandans. We used Gene Set Enrichment Analysis and interaction networks to identify cellular processes associated with TST status. We discovered gene sets associated with histone deacetylases that were differentially expressed when comparing TSTPOS and TSTNEG subjects. We used small molecule inhibitors to demonstrate that histone deacetylase function is important for the pro-inflammatory response to M.tb infection in monocytes. Monocytes from individuals who appear to resist M.tb infection differentially activate pathways controlled by histone deacetylase in response to M.tb infection when compared to those who are susceptible to infection. These data identify a potential cellular mechanism underlying the clinical phenomenon of persistently negative tuberculin skin tests despite known exposure to an infectious contact. CD14+ monocytes from 18 TSTPOS and 10 TSTNEG subjects were isolated by positive selection. Depending on the yield, between 5E5 and 1E6 monocytes were plated in duplicate in a 24-well tissue culture plate and rested overnight at 37oC, 5% CO2. The next day, cells were mock-infected or infected with virulent M. tuberculosis strain H37Rv at a multiplicity of infection (MOI) 10:1. After a six hour incubation at 37C, 5% CO2, the mycobacteria were killed and total RNA harvested using TRIzol-LS (Invitrogen). TRIzol samples were stored at -80oC until all infections were completed. To minimize batch effects, equal numbers of TSTPOS and TSTNEG subjects were processed on each of six days and frozen aliquots of M.tb were used for infections. RNA was extracted using the RNeasy Mini Kit with on-column DNAse digestion. RNA was transcribed into complementary DNA, labeled, and hybridized onto Illumina HT-12 microarrays according to the manufacturerâs instructions. Probe intensities were quantified using Illumina iScan platform and processed using BeadArray without performing normalization or background correction.

ORGANISM(S): Homo sapiens

SUBMITTER: Chetan Seshadri

PROVIDER: E-GEOD-76873 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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. Serum samples collected from adult patients with suspected tuberculosis during a multi-site study was used to probe whole proteome microarrays. Subject recruitment was conducted under uniform protocols approved by the institutional ethics committee at each site. Final diagnosis of active TB was based on positive M. tuberculosis culture results. The active TB patients were further subdivided into smear-positive and negative disease based on results of Ziehl-Neelsen staining of sputum smears for acid fast bacilli. Active TB was excluded as a diagnosis (Non-TB Disease [NTBD] patients) based on having negative M. tuberculosis culture and smear results and on having an alternate diagnosis. All subjects were presumably negative for HIV infection given the very low incidence of HIV infection in the study sites. Sera from 169 TB and 242 NTBD patients were selected for microarray probing. The control sera (n = 14) which was used to generate negative control distribution for each protein were negative to latent M. tuberculosis infection, as indicated by negative results to tuberculin skin test.

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Monocyte Transcriptional Networks are Associated with Tuberculin Skin Test Status in Uganda

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