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Clinical Immunology
Volume 121, Issue 1, October 2006, Pages 100-107
 
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doi:10.1016/j.clim.2006.06.008    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier Inc. All rights reserved.

Transcriptional profile of the immune response in the lungs of patients with active tuberculosis

Manuela Grassia, Marialuisa Bocchinob, Almerico Marruchellab, Elisabetta Volpea, c, Cesare Saltinib, Vittorio Colizzic and Francesca Mariania, Corresponding Author Contact Information, E-mail The Corresponding Author

aInstitute of Neurobiology and Molecular Medicine (INMM), National Research Council, Via del Fosso del Cavaliere, 100, 00133 Rome, Italy bDivision of Respiratory Medicine of the University of Rome “Tor Vergata” at the National Institute for Infectious Diseases “L. Spallanzani”-IRCCS, Rome, Italy cBiology Department, University of Rome “Tor Vergata”, Rome, Italy

Received 16 March 2006; 
accepted 19 June 2006. 
Available online 14 August 2006.

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Abstract

Despite advances in diagnosis and treatment, Mycobacterium tuberculosis causes active disease in about 8 million people worldwide annually. The study of the interplay between the host and the pathogen at the site of infection in human TB may contribute to elucidate the pathogenesis of the disease. In this work, using macroarray technology and real-time PCR, we analyzed the modulation of 847 genes encoding immune-inflammatory mediators in BALF samples of patients affected by active pulmonary TB (PTB) and control patients affected by non-TB diseases. The data show that the PTB milieu contains a complex network of gene activation. Different genes with adhesive properties and involved in tissue repair and fibrosis were modulated. In TB patients, we observed the up-regulation of cytokines, including IFN-γ and IFN-γ pathway genes, of several apoptotic genes, and of potent transcriptional activators. These findings can contribute to elucidate the mechanisms of MTB pathogenicity in humans.

Keywords: BALF; Macroarray; Inflammatory cytokine genes; Site of infection; Host–pathogen interaction; Immune response; Mycobacterium tuberculosis

Article Outline

Introduction
Materials and methods
Study population
BALF collection and handling of cells
RNA extraction from BALF samples
Macroarray experiments
Real-time PCR
Identification of gene regulation groups in macroarray data
Statistical analyses
Results
Inflammatory transcriptional profile in the lung of tuberculosis patients
Comparison of real-time PCR and macroarray data on a selected group of genes
Levels of IFN-γ, IFN-γ-related genes, and TNF-α  transcripts in BALF
Discussion
Acknowledgements
Appendix A. Supplementary data
References





Clinical Immunology
Volume 121, Issue 1, October 2006, Pages 100-107
 
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