Search

Mycobacterium abscessus (MABS) displays differential subspecies susceptibility to macrolides. Thus, identifying MABS's subspecies (M. abscessus, M. bolletii and M. massiliense) is a clinical necessity for guiding treatment decisions. We aimed to assess the potential of Machine Learning (ML)-based classifiers coupled to Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) MS to identify MABS subspecies. Two spectral databases were created by using 40 confirmed MABS strains. Spectra were obtained by using MALDI-TOF MS from strains cultivated on solid (Columbia Blood Agar, CBA) or liquid (MGIT®) media for 1 to 13 days. Each database was divided into a dataset for ML-based pipeline development and a dataset to assess the performance. An in-house programme was developed to identify discriminant peaks specific to each subspecies. The peak-based approach successfully distinguished M. massiliense from the other subspecies for strains grown on CBA. The ML approach achieved 100% accuracy for subspecies identification on CBA, falling to 77.5% on MGIT®. This study validates the usefulness of ML, in particular the Random Forest algorithm, to discriminate MABS subspecies by MALDI-TOF MS. However, identification in MGIT®, a medium largely used in mycobacteriology laboratories, is not yet reliable and should be a development priority., (© 2024 The Author(s). Microbial Biotechnology published by John Wiley & Sons Ltd.)

Spin label electron paramagnetic resonance (EPR) spectroscopy was used to characterize the components of the Mycobacterium abscessus massiliense cell envelope and their interactions with amphotericin B (AmB), miltefosine (MIL), and nerolidol (NER). Spin labels analogous to stearic acid and phosphatidylcholine (PC) were distributed on an envelope layer with fluidity comparable to other biological membranes, probably the mycobacterial cell wall, because after treatment with AmB a highly rigid spectral component was evident in the EPR spectra. Methyl stearate analogue spin labels found a much more fluid membrane and did not detect the presence of AmB, except for at very high drug concentrations. Unlike other spin-labeled PCs, the TEMPO-PC spin probe, with the nitroxide moiety attached to the choline of the PC headgroup, also did not detect the presence of AmB. On the other hand, the steroid spin labels were not distributed across the membranes of M. abscessus and, instead, were concentrated in some other location of the cell envelope. Both MIL and NER compounds at 10 μM caused increased fluidity in the cell wall and plasma membrane. Furthermore, NER was shown to have a remarkable ability to extract lipids from the mycobacterial cell wall. The EPR results suggest that the resistance of mycobacteria to the action of AmB must be related to the fact that this drug does not reach the bacterial plasma membrane., (Copyright © 2022 Elsevier B.V. All rights reserved.)

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.

Mycobacterium abscessus is emerging as a cause of recalcitrant chronic pulmonary infections, particularly in people with cystic fibrosis (CF). Biofilm formation has been implicated in the pathology of this organism, however the role of biofilm formation in infection is unclear. Two colony-variants of M. abscessus are routinely isolated from CF samples, smooth (Ma Sm ) and rough (Ma Rg ). These two variants display distinct colony morphologies due to the presence (Ma Sm ) or absence (Ma Rg ) of cell wall glycopeptidolipids (GPLs). We hypothesized that Ma Sm and Ma Rg variant biofilms might have different mechanical properties. To test this hypothesis, we performed uniaxial mechanical indentation, and shear rheometry on Ma Sm and Ma Rg colony-biofilms. We identified that Ma Rg biofilms were significantly stiffer than Ma Sm under a normal force, while Ma Sm biofilms were more pliant compared to Ma Rg , under both normal and shear forces. Furthermore, using theoretical indices of mucociliary and cough clearance, we identified that M. abscessus biofilms may be more resistant to mechanical forms of clearance from the lung, compared to another common pulmonary pathogen, Pseudomonas aeruginosa. Thus, the mechanical properties of M. abscessus biofilms may contribute to the persistent nature of pulmonary infections caused by this organism.

Mycobacterium abscessus is an emerging human pathogen that is notorious for being one of the most drug-resistant species of Mycobacterium. It has developed numerous strategies to overcome the antibiotic stress response, limiting treatment options and leading to frequent therapeutic failure. The panel of aminoglycosides (AG) usually used in the treatment of M. abscessus pulmonary infections is restricted by chemical modification of the drugs by the N-acetyltransferase Eis2 protein (Mabs_Eis2). This enzyme acetylates the primary amine of AGs, preventing these antibiotics from binding ribosomal RNA and thereby impairing their activity. In this study, the high-resolution crystal structures of Mabs_Eis2 in its apo- and cofactor-bound forms were solved. The structural analysis of Mabs_Eis2, supported by the kinetic characterization of the enzyme, highlights the large substrate specificity of the enzyme. Furthermore, in silico docking and biochemical approaches attest that Mabs_Eis2 modifies clinically relevant drugs such as kanamycin and amikacin, with a better efficacy for the latter. In line with previous biochemical and in vivo studies, our work suggests that Mabs_Eis2 represents an attractive pharmacological target to be further explored. The high-resolution crystal structures presented here may pave the way to the design of Eis2-specific inhibitors with the potential to counteract the intrinsic resistance levels of M. abscessus to an important class of clinically important antibiotics. DATABASE: Structural data are available in the PDB database under the accession numbers: 6RFY, 6RFX and 6RFT., (© 2019 Federation of European Biochemical Societies.)

Mycobacterium smegmatis is a good model for studying the physiology and pathogenesis of Mycobacterium tuberculosis due to its genetic similarity. As methionine biosynthesis exists only in microorganisms, the enzymes involved in methionine biosynthesis can be a potential target for novel antibiotics. Homoserine O-acetyltransferase from M. smegmatis (MsHAT) catalyzes the transfer of acetyl-group from acetyl-CoA to homoserine. To investigate the molecular mechanism of MsHAT, we determined its crystal structure in apo-form and in complex with either CoA or homoserine and revealed the substrate binding mode of MsHAT. A structural comparison of MsHAT with other HATs suggests that the conformation of the α5 to α6 region might influence the shape of the dimer. In addition, the active site entrance shows an open or closed conformation and might determine the substrate binding affinity of HATs., (Copyright © 2019 Elsevier Inc. All rights reserved.)

The Mycobacterium abscessus complex can cause fatal pulmonary disease, especially in cystic fibrosis patients. Diagnosing M. abscessus complex pulmonary disease is challenging. Immunologic assays specific for M. abscessus are not available. In this study seven clinical M. abscessus complex strains and the M. abscessus reference strain ATCC19977 were used to find species-specific proteins for their use in immune assays. Six strains showed rough and smooth colony morphotypes simultaneously, two strains only showed rough mophotypes, resulting in 14 separate isolates. Clinical isolates were submitted to whole genome sequencing. Proteomic analysis was performed on bacterial lysates and culture supernatant of all 14 isolates. Species-specificity for M. abscessus complex was determined by a BLAST search for proteins present in all supernatants. Species-specific proteins underwent in silico B- and T-cell epitope prediction. All clinical strains were found to be M. abscessus ssp. abscessus. Mutations in MAB_4099c as a likely genetic basis of the rough morphotype were found in six out of seven clinical isolates. 79 proteins were present in every supernatant, of which 12 are exclusively encoded by all members of M. abscessus complex plus Mycobacterium immunogenum. In silico analyses predicted B- and T-cell epitopes in all of these 12 species-specific proteins., (Copyright © 2018 Institut Pasteur. All rights reserved.)

Mycobacterium abscessus, a rapid growing, multidrug resistant, nontuberculous mycobacteria, can cause a wide range of opportunistic infections, particularly in immunocompromised individuals. M. abscessus has emerged as a growing threat to patients with cystic fibrosis, where it causes accelerated inflammatory lung damage, is difficult and sometimes impossible to treat and can prevent safe transplantation. There is therefore an urgent unmet need to develop new therapeutic strategies. The elucidation of the M. abscessus genome in 2009 opened a wide range of research possibilities in the field of drug discovery that can be more effectively exploited upon the characterization of the structural proteome. Where there are no experimental structures, we have used the available amino acid sequences to create 3D models of the majority of the remaining proteins that constitute the M. abscessus proteome (3394 proteins and over 13 000 models) using a range of up-to-date computational tools, many developed by our own group. The models are freely available for download in an on-line database, together with quality data and functional annotation. Furthermore, we have developed an intuitive and user-friendly web interface (http://www.mabellinidb.science) that enables easy browsing, querying and retrieval of the proteins of interest. We believe that this resource will be of use in evaluating the prospective targets for design of antimicrobial agents and will serve as a cornerstone to support the development of new molecules to treat M. abscessus infections., (© The Author(s) 2019. Published by Oxford University Press.)