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Kapcia, J.

Publications and source records attributed to Kapcia, J..

2 recordsLinked to original sources

Discovery of homogentisic acid as a precursor in trimethoprim metabolism and natural product biosynthesis

Opportunistic infections by Burkholderia cenocepacia are life threatening for patients suffering from cystic fibrosis and chronic granulomatous disease. These infections are often associated with variable clinical outcomes, prompting an interest into molecular investigations of phenotypes associated with disease severity. The production of the pyomelanin pigment is one such phenotype, which was recently linked to the ability of clinical strains to carry out biotransformation of the antibiotic trimethoprim. However, this biotransformation product was not identified, and differences in metabolite production associated with pyomelanin pigmentation are poorly understood. Here, we identify several key metabolites produced exclusively by the pyomelanin-producing strains. To provide insight into the structures and biosynthetic origin of these metabolites, we developed a mass spectrometry-based strategy coupling unsupervised in silico substructure prediction with stable isotope labeling referred to as MAS-SILAC (Metabolite Annotation assisted by Substructure discovery and Stable Isotope Labeling by Amino acids in Cell culture). This approach led to discovery of homogentisic acid as a precursor for biosynthesis of several natural products and for biotransformation of trimethoprim, representing a previously unknown mechanism of antibiotic tolerance. This work presents application of computational methods for analysis of untargeted metabolomic data to link the chemotype of pathogenic microorganisms with a specific phenotype. The observations made in this study provide insights into the clinical significance of the melanated phenotype.

microbiology↗

Capturing actively produced microbial volatile organic compounds from human associated samples with vacuum assisted sorbent extraction

Volatile organic compounds (VOC) from biological samples have unknown origins. VOCs may originate from the host or different microbial organisms from a microbial community. In order to disentangle the origin of microbial VOCs, we performed volatile headspace analysis of bacterial mono- and co-cultures of Staphylococcus aureus, Pseudomonas aeruginosa, and Acinetobacter baumannii, and stable isotope probing in biological samples of feces, saliva, sewage, and sputum. We utilized mono- and co-cultures to identify volatile production from individual bacterial species or in combination with stable isotope probing to identify the active metabolism of microbes from the biological samples. To extract the VOCs, we employed vacuum assisted sorbent extraction (VASE). VASE is an easy-to-use commercialized solvent-free headspace extraction method for semi-volatile and volatile compounds. The lack of solvents and the near vacuum conditions used make developing a method relatively easy and fast when compared to other extraction options like tert-butylation and solid phase microextraction. However, VASE does not work on nonvolatile compounds, thus excluding many protein analyses and heavy stable isotope labelling experiments. Using the workflow described here, we identified volatile signatures from mono- and co-cultures indicating there were volatiles specific to certain microbes or co-cultures. Furthermore, analysis of the stable isotope probing of biological samples identified VOCs that were either commonly or uniquely produced from the different human derived biological samples. Here we present the general workflow and experimental considerations of VASE. SUMMARYFrom this protocol, readers will be able to extract volatile organic compounds from a biological sample with the vacuum assisted sorbent extraction method, run samples on a GC-MS with the use of the Entech autosampler, and analyze data.

biochemistry↗