Gilmore, I. | Search bioRxiv

bioRxiv2024

Variation in drug penetration does not account for the natural resistance of Mycobacterium abscessus biofilms to antibiotic

Mycobacterium abscessus, an inherently drug-resistant, opportunistic, nontuberculous mycobacterium (NTM) predominantly causes pulmonary infections in immunocompromised patients, notably those with cystic fibrosis. M. abscessus subspecies display distinct colony morphologies (rough and smooth), with the prevalent view that M. abscessus (smooth) is a persistent, biofilm-forming phenotype, whilst M. abscessus (rough) is unable to form biofilms. Biofilm formation contributes to persistent infections and exhibits increased antibiotic resistance. We used the chemical mapping technique, nanoscale secondary ion spectrometry (NanoSIMS), to investigate if variations in the biofilm morphology and antibiotic penetration account for the antibiotic susceptibility amongst M. abscessus subspecies, contributing to increased antimicrobial resistance (AMR) and potentially explaining the protracted treatment duration. The susceptibility to bedaquiline (BDQ) of M. abscessus grown as planktonic bacilli and biofilms was measured. The minimum biofilm eradication concentration (MBEC) of BDQ was 8-16 times higher (2-4{micro}g/ml) compared with the minimum inhibitory concentration (MIC) (0.25{micro}g/ml), indicating reduced efficacy against biofilms. Correlative imaging with electron microscopy revealed that M. abscessus (irrespective of the colony morphotype) formed biofilms and that BDQ treatment influenced biofilm morphology. We determined that M. abscessus morphotypes exhibit differential uptake of the antibiotic BDQ in biofilms. M. abscessus subsp. abscessus (smooth) biofilms exhibited the least uptake of BDQ, whereas M. abscessus subsp. bolletii biofilms showed the greatest antibiotic penetration. NanoSIMS analysis revealed no correlation between antibiotic penetration and drug efficacy within the biofilm. This challenges the previous assumption linking biofilm architecture to drug efficacy. Investigating other biofilm characteristics like antibiotic persistence could lead to enhanced treatment approaches. Significance StatementMycobacterium abscessus is an increasingly prevalent pathogen, most often causing lung infections in immunocompromised individuals. Their distinct morphotypes and biofilm-forming capabilities contribute to persistent infections, rendering them challenging to treat with increased antibiotic resistance. This research demonstrates that the antibiotic, bedaquiline exhibits significantly reduced efficacy against M. abscessus growing as a biofilm compared to planktonic growth, but that the efficiency of antibiotic penetration was not the main explanation for the different susceptibilities of MABC biofilms to treatment.

microbiology↗

bioRxiv2020

Training a neural network to learn other dimensionality reduction removes data size restrictions in bioinformatics and provides a new route to exploring data representations

High dimensionality omics and hyperspectral imaging datasets present difficult challenges for feature extraction and data mining due to huge numbers of features that cannot be simultaneously examined. The sample numbers and variables of these methods are constantly growing as new technologies are developed, and computational analysis needs to evolve to keep up with growing demand. Current state of the art algorithms can handle some routine datasets but struggle when datasets grow above a certain size. We present a training deep learning via neural networks on non-linear dimensionality reduction, in particular t-distributed stochastic neighbour embedding (t-SNE), to overcome prior limitations of these methods. One Sentence SummaryAnalysis of prohibitively large datasets by combining deep learning via neural networks with non-linear dimensionality reduction.

bioinformatics↗

bioRxiv2019

Cryogenic OrbiSIMS Localizes Semi-Volatile Molecules in Biological Tissues

OrbiSIMS is a recently developed instrument for label-free imaging of chemicals with micron spatial resolution and high mass resolution. Here we report a cryogenic workflow for OrbiSIMS (Cryo-OrbiSIMS) that improves chemical detection of lipids and other biomolecules in tissues. Cryo-OrbiSIMS decreases ion-beam induced fragmentation, allowing large molecules such as triglycerides to be more reliably identified. It also increases chemical coverage to include biomolecules with intermediate or high vapor pressures, such as free fatty acids and semi-volatile organic compounds (SVOCs). We find that Cryo-OrbiSIMS reveals the hitherto unknown localization patterns of SVOCs with high spatial and chemical resolution in diverse plant, animal and human tissues. We also show that Cryo-OrbiSIMS can be combined with genetic analysis to identify enzymes regulating SVOC metabolism. Cryo-OrbiSIMS is applicable to high resolution imaging of a wide variety of non-volatile and semi-volatile molecules across many areas of biomedicine.

biochemistry↗