Purcaro, Giorgia published the artcileBreath metabolome of mice infected with Pseudomonas aeruginosa, Recommanded Product: rel-(1R,2R,4R)-1,7,7-Trimethylbicyclo[2.2.1]heptan-2-ol, the main research area is metabolome breath volatile organic compound Pseudomonas infection; Breath; Comprehensive gas chromatography-time-of-flight mass spectrometer (GC×GC ToF MS); Pseudomonas aeruginosa; Volatile organic compounds (VOCs).
The measurement of specific volatile organic compounds in breath has been proposed as a potential diagnostic for a variety of diseases. The most well-studied bacterial lung infection in the breath field is that caused by Pseudomonas aeruginosa. To determine a discriminatory core of mols. in the “”breath-print”” of mice during a lung infection with four strains of P. aeruginosa (PAO1, PA14, PAK, PA7). Furthermore, we attempted to extrapolate a strain-specific “”breath-print”” signature to investigate the possibility of recapitulating the genetic phylogenetic groups (Stewart et al. Pathog Dis 71(1), 20-25, 2014. https://doi.org/10.1111/2049-632X.12107). Breath was collected into a Tedlar bag and shortly after drawn into a thermal desorption tube. The latter was then analyzed into a comprehensive multidimensional gas chromatog. coupled with a time-of-flight mass spectrometer. Random forest algorithm was used for selecting the most discriminatory features and creating a prediction model. Three hundred and one mols. were significantly different between animals infected with P. aeruginosa, and those given a sham infection (PBS) or inoculated with UV-killed P. aeruginosa. Of those, nine metabolites could be used to discriminate between the three groups with an accuracy of 81%. Hierarchical clustering showed that the signature from breath was due to a specific response to live bacteria instead of a generic infection response. Furthermore, we identified ten addnl. volatile metabolites that could differentiate mice infected with different strains of P. aeruginosa. A phylogram generated from the ten metabolites showed that PAO1 and PA7 were the most distinct group, while PAK and PA14 were interspersed between the former two groups. To the best of our knowledge, this is the first study to report on a core murine breath print, as well as, strain level differences between the compounds in breath. We provide identifications (by running com. available anal. standards) to five breath compounds that are predictive of P. aeruginosa infection.
Metabolomics published new progress about Algorithm. 124-76-5 belongs to class alcohols-buliding-blocks, name is rel-(1R,2R,4R)-1,7,7-Trimethylbicyclo[2.2.1]heptan-2-ol, and the molecular formula is C10H18O, Recommanded Product: rel-(1R,2R,4R)-1,7,7-Trimethylbicyclo[2.2.1]heptan-2-ol.
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