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Record W2167566168 · doi:10.1093/jac/46.6.885

Influence of the MexA-MexB-OprM multidrug efflux system on expression of the MexC-MexD-OprJ and MexE-MexF-OprN multidrug efflux systems in Pseudomonas aeruginosa

2000· article· en· W2167566168 on OpenAlexaff
Xinzheng Li

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsQueen's University
Fundersnot available
KeywordsEffluxPseudomonas aeruginosaBiologyMicrobiologyMutantMultiple drug resistanceSiderophorePseudomonadalesPseudomonadaceaeCell biologyBacteriaAntibioticsBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Of the Pseudomonas aeruginosa multidrug efflux systems, MexAB-OprM is expressed in wild-type cells, while MexCD-OprJ is not, and MexEF-OprN shows variable, strain-specific expression. In defined mutant strains, MexCD-OprJ expression increased with decreases in MexAB-OprM and was generally inversely related to MexAB-OprM expression. In so-called wild-type strains expressing MexEF-OprN, MexAB-OprM hyperexpression correlated with a decline in MexEF-OprN expression, while loss of MexAB-OprM was associated with increased expression of MexEF-OprN, also indicative of an inverse correlation between MexAB-OprM and MexEF-OprN expression. Still, the increases in MexCD-OprJ and MexEF-OprN failed to compensate for the loss of MexAB-OprM with respect to antibiotic resistance. Nonetheless, these data suggest that the overall complement of these MDR efflux systems is monitored and that alterations in the level of one efflux system may effect compensatory changes in the levels of the others.

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)0.001
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 score0.057
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.004
GPT teacher head0.212
Teacher spread0.209 · 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.

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

Citations123
Published2000
Admission routes1
Has abstractyes

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