Metabolomic Changes in Biofilm of Pseudomonas aeruginosa Under Early-Stage Tobramycin Treatment Identified by 2D NMR-Based COLMARq

Abstract Biofilms are estimated to account for a large proportion of persistent microbial infections and are associated with substantial mortality in hospitals. Pseudomonas aeruginosa biofilms exhibit higher resistance to antibiotics compared to their planktonic growth form, making them difficult to eradicate and contributing to the mounting global challenge posed by infectious diseases. To gain deeper insights into the metabolic response of biofilms to antibiotic pressure, we conducted a quantitative, untargeted metabolomics analysis using heteronuclear 2D NMR spectroscopy. Biofilms were grown in the presence of sub-inhibitory concentrations of tobramycin, and metabolic alterations were identified and quantified using the COLMARq analysis platform. Our analysis revealed significant metabolic shifts even at low doses of tobramycin with key metabolites such as UDP-glucose increasing and putrescine decreasing. Pathway enrichment analysis highlighted alterations in amino acid biosynthesis, energy metabolism, and stress response pathways. Notably, the accumulation of glutathione disulfide indicates enhanced oxidative stress, while the depletion of β-alanine, succinate, and GABA suggested metabolic shifts linked to biofilm adaptation. These findings provide new insights into the metabolic reprogramming of biofilms under antibiotic treatment and offer perspectives into biofilm behavior in the case of Pseudomonas aeruginosa when exposed to antibiotics from an early stage of infection.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2026-09-24
DOI
https://doi.org/10.1021/acs.jproteome.6c00323
Primary Topic
Bacterial biofilms and quorum sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Metabolomic Changes in Biofilm of Pseudomonas aeruginosa Under Early-Stage Tobramycin Treatment Identified by 2D NMR-Based COLMARq

Lei Bruschweiler‐Li, Kyungsuh Lee, Rafael Brüschweiler, Dawei Li et al.
Journal of Proteome Research
Bacterial biofilms and quorum sensing
article

Metabolomic Changes in Biofilm of Pseudomonas aeruginosa Under Early-Stage Tobramycin Treatment Identified by 2D NMR-Based COLMARq

Lei Bruschweiler‐Li, Kyungsuh Lee, Rafael Brüschweiler, Dawei Li, M. Choo, Devin Sindeldecker
article en

Abstract

Abstract Biofilms are estimated to account for a large proportion of persistent microbial infections and are associated with substantial mortality in hospitals. Pseudomonas aeruginosa biofilms exhibit higher resistance to antibiotics compared to their planktonic growth form, making them difficult to eradicate and contributing to the mounting global challenge posed by infectious diseases. To gain deeper insights into the metabolic response of biofilms to antibiotic pressure, we conducted a quantitative, untargeted metabolomics analysis using heteronuclear 2D NMR spectroscopy. Biofilms were grown in the presence of sub-inhibitory concentrations of tobramycin, and metabolic alterations were identified and quantified using the COLMARq analysis platform. Our analysis revealed significant metabolic shifts even at low doses of tobramycin with key metabolites such as UDP-glucose increasing and putrescine decreasing. Pathway enrichment analysis highlighted alterations in amino acid biosynthesis, energy metabolism, and stress response pathways. Notably, the accumulation of glutathione disulfide indicates enhanced oxidative stress, while the depletion of β-alanine, succinate, and GABA suggested metabolic shifts linked to biofilm adaptation. These findings provide new insights into the metabolic reprogramming of biofilms under antibiotic treatment and offer perspectives into biofilm behavior in the case of Pseudomonas aeruginosa when exposed to antibiotics from an early stage of infection.

Journal of Proteome Research
The Ohio State University (US)
Good health and well-being
Openalex Percentile: Top 19%
Bacterial biofilms and quorum sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.