<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mielko-Nizialek KA</submitter><funding>Wroclaw University of Science and Technology</funding><funding>Faculty of Chemistry</funding><pagination>dkaf453</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12813288</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>81(2)</volume><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Pseudomonas aeruginosa (Pa) stands as a dangerous multidrug-resistant human pathogen, and the associated antibiotic resistance mechanisms, governed by diverse molecular processes, present a persistent challenge in eradicating bacterial infections, especially in patients with cystic fibrosis. The search for novel antibiotic resistance markers has led researchers to explore the field of metabolomics. This study aims to discern alterations in metabolite levels resulting from varied antibiotic resistance profiles in Pa strains isolated from clinical patients.&lt;h4>Methods&lt;/h4>In-depth analysis of intracellular metabolites from Pa strains was conducted. Following bacterial cultivation and extraction, LC-MS measurements were performed, and subsequent data analysis used a combina</pubmed_abstract><journal>The Journal of antimicrobial chemotherapy</journal><pubmed_title>Antibiotic resistance of Pseudomonas aeruginosa strains-intracellular metabolomics analysis.</pubmed_title><pmcid>PMC12813288</pmcid><funding_grant_id>7/2023</funding_grant_id><pubmed_authors>Milczewska J</pubmed_authors><pubmed_authors>Mlynarz P</pubmed_authors><pubmed_authors>Mielko-Nizialek KA</pubmed_authors><pubmed_authors>Jablonski S</pubmed_authors><pubmed_authors>Wisniewski J</pubmed_authors><pubmed_authors>Sands D</pubmed_authors><pubmed_authors>Lukaszewicz M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Antibiotic resistance of Pseudomonas aeruginosa strains-intracellular metabolomics analysis.</name><description>&lt;h4>Objectives&lt;/h4>Pseudomonas aeruginosa (Pa) stands as a dangerous multidrug-resistant human pathogen, and the associated antibiotic resistance mechanisms, governed by diverse molecular processes, present a persistent challenge in eradicating bacterial infections, especially in patients with cystic fibrosis. The search for novel antibiotic resistance markers has led researchers to explore the field of metabolomics. This study aims to discern alterations in metabolite levels resulting from varied antibiotic resistance profiles in Pa strains isolated from clinical patients.&lt;h4>Methods&lt;/h4>In-depth analysis of intracellular metabolites from Pa strains was conducted. Following bacterial cultivation and extraction, LC-MS measurements were performed, and subsequent data analysis used a combina</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-06-06T17:25:14.377Z</modification><creation>2026-06-03T03:10:21.351Z</creation></dates><accession>S-EPMC12813288</accession><cross_references><pubmed>41549664</pubmed><doi>10.1093/jac/dkaf453</doi></cross_references></HashMap>