Evidence map›Paper›PMID 41549664›Full record

ArticleThe Journal of antimicrobial chemotherapy2026

Antibiotic resistance of Pseudomonas aeruginosa strains-intracellular metabolomics analysis.

Karolina Anna Mielko-Niziałek, Sławomir Jabłoński, Jerzy Wiśniewski, Justyna Milczewska, Dorota Sands, Marcin Łukaszewicz, Piotr Młynarz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Karolina Anna Mielko-NiziałekDepartment of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, Wroclaw 50-373, Poland.
Sławomir JabłońskiBiotransformation Department, Faculty of Biotechnology, University of Wroclaw, Wroclaw 50-383, Poland.
Jerzy WiśniewskiDepartment of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, Wroclaw 50-373, Poland.
Justyna MilczewskaCystic Fibrosis Department, Institute of Mother and Child, Warsaw 01-211, Poland.
Dorota SandsCystic Fibrosis Department, Institute of Mother and Child, Warsaw 01-211, Poland.
Marcin ŁukaszewiczBiotransformation Department, Faculty of Biotechnology, University of Wroclaw, Wroclaw 50-383, Poland.
Piotr MłynarzDepartment of Biochemistry, Molecular Biology and Biotechnology, Faculty of Chemistry, Wroclaw University of Science and Technology, Wroclaw 50-373, Poland.

Funding

Faculty of ChemistryWroclaw University of Science and Technology 7/2023
6 · The paper itself

Abstract

objectivesPseudomonas 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.

methodsIn-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 combination of statistical and chemometric methodologies.

resultsA total of 45 metabolites were identified under positive ionization mode. Statistically significant variations were discerned across all comparisons involving the 14 antibiotics investigated, primarily manifesting as alterations in amino acid pathways and their derivatives. The chemometric outcomes revealed a distinct clustering of samples corresponding to the specific antibiotics tested.

conclusionThe presented findings show noteworthy shifts in bacterial metabolic pathways, laying the groundwork for further investigations. These initial insights promise to delineate avenues towards comprehensive explorations into antibiotic resistance in bacteria. This study provides a foundation for future investigations aimed at unravelling the intricate dynamics of antibiotic resistance in Pa.

Indexed as

Drug Resistance, BacterialMetabolomeMetabolomicsPseudomonas aeruginosaAnti-Bacterial AgentsChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryMetabolic Networks and PathwaysPseudomonas InfectionsAnti-Bacterial Agents

Identifiers

PMID41549664
PMCPMC12813288

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.