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Data from: "Host transcriptional responses following ex vivo re-challenge with Mycobacterium tuberculosis vary with disease status"

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Abstract

This dataset supports the following research and conclusions: “The identification of immune correlates that are predictive of disease outcome for tuberculosis remains an ongoing challenge. To address this issue, we evaluated gene expression profiles from peripheral blood mononuclear cells following ex vivo challenge with Mycobacterium tuberculosis, among participants with active TB disease (ATBD, n=10), latent TB infection (LTBI, n=10), and previous active TB disease (after successful treatment; PTBD, n=10), relative to controls (n=10). Differential gene expression profiles were assessed by suppression-subtractive hybridization, dot blot, real-time polymerase chain reaction, and the comparative cycle threshold methods. Comparing ATBD to control samples, greater fold-increases of gene expression were observed for a number of chemotactic factors (CXCL1, CXCL3, IL8, MCP1, MIP1). ATBD was also associated with higher IL1B gene expression, relative to controls. Among LTBI samples, gene expression of several chemotactic factors (CXCL2, CXCL3, IL8) was similarly elevated, compared to individuals with PTBD. Our results demonstrated that samples from participants with ATBD and LTBI have distinct gene expression profiles in response to ex vivo M. tuberculosis infection. These findings indicate the value in further characterizing the peripheral responses to M. tuberculosis challenge as a route to defining immune correlates of disease status or outcome.”

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Research reported in this publication was supported by the National Institutes of Health (National Institute of Diabetes and Digestive and Kidney Diseases; T32-DK007158 award); the Mario Einaudi Center for International Studies (South Asia Program), Human Ecology Alumni Association, Graduate School, Division of Nutritional Sciences at Cornell University (for E.A.Y. research and travel support). D.G.R. is supported by National Institutes of Health (National Institute of Allergy and Infectious Diseases; AI118582 award). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Allergy and Infectious Diseases, or the National Institutes of Health.

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2017

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Mycobacterium; tuberculosis; gene expression profiling; subtractive hybridization

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Yu EA, John SH, Tablante EC, King CA, Kenneth J, et al. (2017) Host transcriptional responses following ex vivo re-challenge with Mycobacterium tuberculosis vary with disease status. PLOS ONE 12(10): e0185640. https://doi.org/10.1371/journal.pone.0185640

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Attribution 4.0 International

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