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Record W7056984791

Functional analysis of MexXY resistance nodulation division efflux pumps in Pseudomonas aeruginosa

2019· dissertation· en· W7056984791 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEffluxPseudomonas aeruginosaAntibioticsMultiple drug resistanceAntibiotic resistanceBacteria
DOInot available

Abstract

fetched live from OpenAlex

Antibiotic resistance is a fast-growing crisis worldwide and has been estimated to cause 10 million deaths by the year 2050, which is more than the present number of deaths caused by cancer and road accidents combined. Recently, WHO has published a priority list of pathogens against which new antibiotics are urgently needed. In this list, Pseudomonas aeruginosa has been listed among the Priority-1 (critical) pathogens. Among the various resistance mechanisms used by P. aeruginosa, the use of Resistance-Nodulation-Division (RND) efflux pumps is an intrinsic resistance mechanism. RND efflux pumps are the tripartite complex consisting of outer membrane protein (OMP), membrane-fusion protein (MFP), and RND antiporter. Among 12 well-characterized RND efflux pumps found in the genome of P. aeruginosa, the MexXY efflux system has been reported to be overexpressed in the clinical isolates, especially isolates obtained from Cystic Fibrosis (CF) patients. Overexpression of the MexXY efflux pump leads to reduced susceptibility against aminoglycosides, a routinely used antibiotic for the treatment of CF patients. Understanding the process of antibiotic resistance through RND efflux pumps requires the knowledge of protein-protein interaction among RND complexes and their mechanism and determinants of substrate selectivity. This study is focused on understanding the role of RND efflux systems in multidrug resistance among CF isolates and determining the substrate determinants of an RND complex. Determinants of substrate selectivity were studied using MexXY-OprA/OprM efflux system as a model due to its clinical significance among CF isolates of P. aeruginosa, and its ability to form a functional complex with two different OMPs. Since OprA is only found in P. aeruginosa PA7 strain (and PA7-type genomes), we also compared the genome of PA7 with PAO1 (type-strain) to find any other clinically-relevant antibiotic resistance and virulence genes. Our study shows MexXY to be the most overexpressed RND system among the CF isolates of P. aeruginosa. We also showed that MexXY complexes with OprA and OprM have some differential substrates (carbenicillin and piperacillin). Using comparative genomics and proteomics approaches, we show that the PA7 genome harbors additional aminoglycoside modifying enzymes that confer resistance to several aminoglycosides. So, together, this study adds to the knowledge of RND efflux pump-mediated antibiotic resistance in terms of substrates selectivity and interplay between OMPs and RND antiporter. This knowledge of substrate determinants in RND efflux systems will aid in designing therapeutic options to treat multidrug-resistant infections.

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)0.000
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 score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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