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Mechanisms of bacterial biocide and antibiotic resistance

2002· article· en· W1995288235 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Microbiology · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsQueen's University
FundersCystic Fibrosis CanadaCystic Fibrosis Foundation
KeywordsEffluxBiocideTriclosanMicrobiologyAntibiotic resistanceAntimicrobialAntibioticsMultiple drug resistancePseudomonas aeruginosaBiologyDrug resistanceBacteriaChemistryBiochemistryMedicineGenetics

Abstract

fetched live from OpenAlex

Resistance to antibiotics is increasingly commonplace amongst important human pathogens. Although the mechanism(s) of resistance vary from agent to agent they typically involve one or more of: alteration of the drug target in the bacterial cell, enzymatic modification or destruction of the drug itself, or limitation of drug accumulation as a result of drug exclusion or active drug efflux. While most of these are agent specific, providing resistance to a single antimicrobial or class of antimicrobial, there are currently numerous examples of efflux systems that accommodate and, thus, provide resistance to a broad range of structurally unrelated antimicrobials--so-called multidrug efflux systems. Resistance to biocides is less common and likely reflects the multiplicity of targets within the cell as well as the general lack of known detoxifying enzymes. Resistance typically results from cellular changes that impact on biocide accumulation, including cell envelope changes that limit uptake, or expression of efflux mechanisms. Still, target site mutations leading to biocide resistance, though rare, are known. Intriguingly, many multidrug efflux systems also accommodate biocides (e.g. triclosan) such that strains expressing these are both antibiotic- and biocide-resistant. Indeed, concern has been expressed regarding the potential for agents such as triclosan to select for strains resistant to multiple clinically-relevant antibiotics. Some of the better characterized examples of such multidrug efflux systems can be found in the opportunistic pathogen Pseudomonas aeruginosa where they play an important role in the noted intrinsic and acquired resistance of this organism to antibiotics and triclosan. These tripartite pumps include an integral inner membrane drug-proton antiporter, an outer membrane- and periplasm-spanning channel-forming protein and a periplasmic link protein that joins these two. Expression of efflux genes is governed minimally by the product of a linked regulatory gene that is in most cases the target for mutation in multidrug resistant strains hyperexpressing these efflux systems. Issues for consideration include the natural function of these efflux systems and the therapeutic potential of targeting these systems in combating acquired multidrug resistance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.519

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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