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Record W1976193394 · doi:10.1159/000239110

Effect of Subinhibitory Concentrations of Ciprofloxacin and Gentamicin on the Adherence of Pseudomonas aeruginosa to Vero Cells and Voided Uroepithelial Cells

2009· article· en· W1976193394 on OpenAlexaff
George G. Zhanel, Sung Ouk Kim, Ross Davidson, Daryl J. Hoban, Lindsay E. Nicolle

Bibliographic record

VenueChemotherapy · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of ManitobaHealth Sciences Centre
Fundersnot available
KeywordsCiprofloxacinGentamicinVero cellPseudomonas aeruginosaMicrobiologyBiologyPseudomonasAntibacterial agentAntibioticsBacteriaIn vitro

Abstract

fetched live from OpenAlex

The effect of subinhibitory concentrations (1/8 x, 1/16 x, 1/32 x MIC) of ciprofloxacin or gentamicin on the adherence of Pseudomonas aeruginosa to Vero cells and voided uroepithelial cells was studied using two different assay methods. Strains studied included both reference strains and clinical strains, including mucoid and nonmucoid isolates. Sub-MICs of ciprofloxacin decreased adherence to Vero cells and voided uroepithelial cells in 3 of 4 ciprofloxacin-susceptible nonmucoid isolates but not in ciprofloxacin-resistant or mucoid isolates. Sub-MICs of gentamicin significantly reduced adherence in 5 of 7 nonmucoid strains but not in mucoid strains. Gentamicin effect on adherence did not correlate with susceptibility to ciprofloxacin. We conclude that ciprofloxacin susceptibility determines the effect of sub-MICs of ciprofloxacin on P. aeruginosa adherence to Vero cells and voided uroepithelial cells. In addition, both the Vero cell assay and voided uroepithelial cell assay demonstrated similar results.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.240
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2009
Admission routes1
Has abstractyes

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