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Record W4411632192 · doi:10.1016/j.bioflm.2025.100296

Combating biofilm formation and bacterial killing: N-acetylcysteine's efficacy against Pseudomonas aeruginosa in urinary catheters

2025· article· en· W4411632192 on OpenAlexaff
Arthika Manoharan, Greg Whiteley, Rajesh Kuppusamy, Slade O. Jensen, Trevor Glasbey, Zhuoran Chen, Lia Moshkanbaryans, Kate H. Moore, Theerthankar Das, Jim Manos

Bibliographic record

VenueBiofilm · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsPseudomonas aeruginosaBiofilmAcetylcysteineMicrobiologyUrinary systemChemistryMedicineBacteriaBiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Uropathogenic Pseudomonas aeruginosa is a significant contributor to catheter-associated urinary tract infections (CA-UTIs), distinguished by its unique biofilm-forming properties compared to other strains. Despite its clinical significance, optimized strategies for biofilm eradication in the bladder and on catheters remain limited. Thus, the aim of this study was to highlight the potent antibacterial and biofilm-inhibitory effects of N-acetyl cysteine (NAC) against uropathogenic P. aeruginosa . Additionally, we sought to investigate its effect against catheter obstruction caused by P. aeruginosa in a patient, and whether this phenomenon can be replicated in vitro to underscore the urgency of addressing this critical challenge. We demonstrated that uropathogenic P. aeruginosa form thick, mucoid biofilms in vitro that can heavily occlude catheters, with bacterial titres of between 10 8 and 10 11 CFU/cm, thus impairing catheter functionality. Furthermore, treatment with NAC significantly reduced viable bacteria by >4 log10 (p<0.01), and inhibited biofilm formation and associated obstruction till experiment endpoint (96h). NAC also displayed significant bactericidal activity (p<0.001) against P. aeruginosa and significantly impeded bacterial attachment and aggregation through modulation of colloidal forces and change in the structure of the bacterial cell surface, thus impairing the bacterium’s ability to initiate biofilm development. Mechanistically, NAC alters the bacterial surface structure, disrupting biofilm-associated virulence. Hence our study found that NAC treatment physically disrupts uropathogenic P. aeruginosa biofilms and significantly alters its virulence. Our novel findings highlight the dual bactericidal and anti-biofilm properties of NAC in vitro , offering valuable insights into its potential application for preventing P. aeruginosa biofilm formation and catheter blockage in CA-UTI management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.239
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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