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1.
Clin Exp Immunol ; 187(1): 160-173, 2017 01.
Article in English | MEDLINE | ID: mdl-27681197

ABSTRACT

We have reported previously that T cells from patients with multi-drug-resistant tuberculosis (MDR-TB) express high levels of interleukin (IL)-17 in response to the MDR strain M (Haarlem family) of Mycobacterium tuberculosis (M. tuberculosis). Herein, we explore the pathways involved in the induction of Th17 cells in MDR-TB patients and healthy tuberculin reactors [purified protein derivative healthy donors (PPD+ HD)] by the M strain and the laboratory strain H37Rv. Our results show that IL-1ß and IL-6 are crucial for the H37Rv and M-induced expansion of IL-17+ interferon (IFN)-γ- and IL-17+ IFN-γ+ in CD4+ T cells from MDR-TB and PPD+ HD. IL-23 plays an ambiguous role in T helper type 1 (Th1) and Th17 profiles: alone, IL-23 is responsible for M. tuberculosis-induced IL-17 and IFN-γ expression in CD4+ T cells from PPD+ HD whereas, together with transforming growth factor (TGF-ß), it promotes IL-17+ IFN-γ- expansion in MDR-TB. In fact, spontaneous and M. tuberculosis-induced TGF-ß secretion is increased in cells from MDR-TB, the M strain being the highest inducer. Interestingly, Toll-like receptor (TLR)-2 signalling mediates the expansion of IL-17+ IFN-γ- cells and the enhancement of latency-associated protein (LAP) expression in CD14+ and CD4+ T cells from MDR-TB, which suggests that the M strain promotes IL-17+ IFN-γ- T cells through a strong TLR-2-dependent TGF-ß production by antigen-presenting cells and CD4+ T cells. Finally, CD4+ T cells from MDR-TB patients infected with MDR Haarlem strains show higher IL-17+ IFN-γ- and lower IL-17+ IFN-γ+ levels than LAM-infected patients. The present findings deepen our understanding of the role of IL-17 in MDR-TB and highlight the influence of the genetic background of the infecting M. tuberculosis strain on the ex-vivo Th17 response.


Subject(s)
Immunologic Memory , Interleukin-17/metabolism , Interleukin-23/metabolism , Mycobacterium tuberculosis/immunology , Th17 Cells/immunology , Transforming Growth Factor beta/metabolism , Tuberculosis, Multidrug-Resistant/immunology , Tuberculosis, Pulmonary/immunology , Adult , Cells, Cultured , Drug Resistance, Multiple, Bacterial , Female , Humans , Interferon-gamma/metabolism , Male , Middle Aged , Mycobacterium tuberculosis/genetics , Signal Transduction , Species Specificity , Th17 Cells/microbiology , Toll-Like Receptor 2/metabolism , Tuberculosis, Multidrug-Resistant/genetics , Tuberculosis, Pulmonary/microbiology , Young Adult
2.
Int J Tuberc Lung Dis ; 20(9): 1257-62, 2016 09.
Article in English | MEDLINE | ID: mdl-27510255

ABSTRACT

SETTING: Over 150 potentially pathogenic non-tuberculous mycobacteria (NTM) species have been described, posing an onerous challenge for clinical laboratory diagnosis. OBJECTIVE: To evaluate different approaches for the identification of 40 clinically relevant NTM isolates whose species were not reliably identified using our routine diagnostic workflow comprising phenotypic tests and hsp65 polymerase chain reaction restriction analysis. DESIGN: We used 1) sequencing analysis of four conserved gene targets: 16S rRNA, rpoB, hsp65 and sodA; 2) two commercial reverse hybridisation assays; and 3) protein analysis using matrix-assisted laser desorption/ionisation time of flight mass spectrometry (MALDI-TOF MS). RESULTS: Combined, but not individual, sequence analysis allowed reliable species identification for 30/40 (75%) isolates, including species previously unknown to be circulating in Argentina. Commercial kits outperformed our routine identification in only 5/35 isolates, and misclassified many more. MALDI-TOF MS accurately identified species in 22/36 (61%) isolates and did not misidentify any. CONCLUSIONS: Commercial kits did not resolve the problem of species of NTM isolates that elude identification. Combined DNA sequence analysis was the approach of choice. MALDI-TOF MS shows promise as a powerful, rapid and accessible tool for the rapid identification of clinically relevant NTM in the diagnostic laboratory, and its accuracy can be maximised by building up a customised NTM spectrum database.


Subject(s)
Mycobacterium Infections, Nontuberculous/diagnosis , Nontuberculous Mycobacteria/genetics , Nontuberculous Mycobacteria/isolation & purification , Argentina , Bacterial Proteins/genetics , Bacteriological Techniques , Chaperonin 60/genetics , DNA, Bacterial/genetics , Genes, Bacterial , Humans , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization , Superoxide Dismutase/genetics
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