Investigating Bacterial Volatilome for the Classification and Identification of Mycobacterial Species by HS-SPME-GC-MS and Machine Learning.

Species of Mycobacteriaceae cause disease in animals and humans, including tuberculosis and leprosy. Individuals infected with organisms in the Mycobacterium tuberculosis complex (MTBC) or non-tuberculous mycobacteria (NTM) may present identical symptoms, however the treatment for each can be different. Although the NTM infection is considered less vital due to the chronicity of the disease and the infrequency of occurrence in healthy populations, diagnosis and differentiation among Mycobacterium species currently require culture isolation, which can take several weeks. The use of volatile organic compounds (VOCs) is a promising approach for species identification and in recent years has shown promise for use in the rapid analysis of both in vitro cultures as well as ex vivo diagnosis using breath or sputum. The aim of this contribution is to analyze VOCs in the culture headspace of seven different species of mycobacteria and to define the volatilome profiles that are discriminant for each species. For the pre-concentration of VOCs, solid-phase micro-extraction (SPME) was employed and samples were subsequently analyzed using gas chromatography-quadrupole mass spectrometry (GC-qMS). A machine learning approach was applied for the selection of the 13 discriminatory features, which might represent clinically translatable bacterial biomarkers.

Isolation and characterization of a 70 kDa protein from Mycobacterium avium.

Mycobacterium avium complex (MAC) is an intracellular pathogen which causes disseminated bacterial infection in immunocompromised individuals. This organism predominantly infects macrophages. Attachment of MAC to macrophages is the first step prior to invasion. We have previously shown that a 70 kDa protein of M. avium (Ma) is one of nine monocyte-binding proteins. In the present study, we have purified this protein from sonic extracts of Ma and studied some of its properties. The N-terminal sequence of this protein was identified and found to exhibit a strong homology to the 70 kDa heat shock protein (hsp) of M. leprae (Ml) and M. tuberculosis (Mtb). This protein was found to be present on the surface of the organism and was able to inhibit the attachment of intact Ma to human monocyte derived macrophages (MDM) up to 49% in an in vitro attachment assay using intact fluorescein isothiocyanate (FITC)-labelled Ma. Bovine serum albumin (BSA) and recombinant 70 kDa hsp from Mtb, which were used as controls, inhibited this attachment by 9.8 and 18%, respectively. These results suggest that the 70 kDa protein may have a role in the attachment of intact Ma to MDM. When tested in lymphocyte activation assays, this protein did not appear to significantly stimulate proliferation. However, it was found to stimulate the production of tumor necrosis factor (TNF)-alpha by MDM. This protein may be one of several Ma antigens that trigger host immune response by binding to MDM and stimulating the production of inflammatory cytokines such as TNF-alpha by these cells.