Metabolomics Comparison of Drug-Resistant and Drug-Susceptible Pseudomonas aeruginosa Strain (Intra- and Extracellular Analysis).
Karolina Anna MielkoSławomir Jan JabłońskiŁukasz PrussJustyna MilczewskaDorota SandsŁukaszewicz MarcinPiotr MłynarzPublished in: International journal of molecular sciences (2021)
Pseudomonas aeruginosa is a common human pathogen belonging to the ESKAPE group. The multidrug resistance of bacteria is a considerable problem in treating patients and may lead to increased morbidity and mortality rate. The natural resistance in these organisms is caused by the production of specific enzymes and biofilm formation, while acquired resistance is multifactorial. Precise recognition of potential antibiotic resistance on different molecular levels is essential. Metabolomics tools may aid in the observation of the flux of low molecular weight compounds in biochemical pathways yielding additional information about drug-resistant bacteria. In this study, the metabolisms of two P. aeruginosa strains were compared-antibiotic susceptible vs. resistant. Analysis was performed on both intra- and extracellular metabolites. The 1H NMR method was used together with multivariate and univariate data analysis, additionally analysis of the metabolic pathways with the FELLA package was performed. The results revealed the differences in P. aeruginosa metabolism of drug-resistant and drug-susceptible strains and provided direct molecular information about P. aeruginosa response for different types of antibiotics. The most significant differences were found in the turnover of amino acids. This study can be a valuable source of information to complement research on drug resistance in P. aeruginosa.
Keyphrases
- drug resistant
- pseudomonas aeruginosa
- acinetobacter baumannii
- biofilm formation
- multidrug resistant
- data analysis
- escherichia coli
- cystic fibrosis
- candida albicans
- gram negative
- mass spectrometry
- staphylococcus aureus
- magnetic resonance
- amino acid
- health information
- healthcare
- ejection fraction
- emergency department
- prognostic factors
- ms ms
- high resolution
- social media
- single molecule
- adverse drug
- drug induced
- electronic health record
- induced pluripotent stem cells