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Record W7006632632

Understanding benzalkonium chloride tolerance and its implications in antibiotic resistance and other phenotypes in clinical isolates of Klebsiella pneumoniae

2024· dissertation· en· W7006632632 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTrinity's Access to Research Output (TARA) (Trinity College Dublin) · 2024
Typedissertation
Languageen
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsTrinity College
Fundersnot available
KeywordsBenzalkonium chlorideEthidium bromideEffluxKlebsiella pneumoniaeAntibioticsAntibiotic resistanceMultiple drug resistancePhenotype
DOInot available

Abstract

fetched live from OpenAlex

In this study, clinical isolates of Klebsiella pneumoniae, a Gram-negative pathogen associated with hospital acquired infections, were tested for both phenotypic and genotypic changes following adaptation to the commonly used disinfecting agent benzalkonium chloride. Changes in antibiotic susceptibility and susceptibility to other disinfectants were assessed using broth microdilution, and changes in colony morphology and capsule density were also determined. Assays using ethidium bromide and Hoechst H33342 fluorescent dye were also performed to observe changes in efflux activity and accumulation following adaptation to benzalkonium chloride. It was found that bacterial cells which had been repeatedly exposed to sub-inhibitory concentrations of benzalkonium chloride showed greater tolerance to the biocide, but this did not correspond to a change in antibiotic resistance profile or confer cross-resistance with other biocides. Capsule density and efflux/accumulation were found to be the most impacted phenotypes in the adapted strains, with strains showing decreased capsule densities and increased efflux following adaptation.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
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 head0.180
GPT teacher head0.409
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