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Record W3198683762 · doi:10.26685/urncst.281

Combating Antimicrobial Resistance: Assessing Efflux Pump Deficient Environments in Neisseria gonorrhoeae and the Masking Effect on Antimicrobial-Resistant Mutations

2021· article· en· W3198683762 on OpenAlexaff
Kaitlyn G. Jackson, Tiffany Ayoub, Julia M. Pearson, Julie Richmond

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEffluxNeisseria gonorrhoeaeAzithromycinAntibiotic resistanceMicrobiologyDrug resistanceBiologyCRISPRAntimicrobialMultiple drug resistanceAntibioticsGeneticsGene

Abstract

fetched live from OpenAlex

Introduction: Antimicrobial resistance (AMR) is a global emergency that involves the process of microbes gaining resistance to antimicrobials. A specific example of this is Neisseria (N.) gonorrhoeae gaining resistance to azithromycin, which can be caused by mutations at ribosomal sites. New research suggests that manipulating the bacteria to create a drug efflux pump deficiency will “mask” the effects of AMR mutations when introduced to antibiotic drugs, compared to that of a drug efflux pump proficient environment. This proposal aims to investigate the effects of a drug efflux pump deficient environment compared to a proficient environment on azithromycin drug efficacy in N. gonorrhoeae with an AMR ribosomal mutation. It is hypothesized that AMR mutations can be masked through gene knockout causing MtrCDE efflux pump deficient environments of N. gonorrhoeae. Methods: Aim 1 consists of inducing a ribosomal mutation that incurs resistance to azithromycin in N. gonorrhoeae strains using CRISPR genome editing in groups A and B. Aim 2 will utilize CRISPR-Cas9 to delete the mtrE gene in N. gonorrhoeae, rendering the MtrCDE efflux pump deficient, creating an efflux pump deficient environment in the bacteria of groups B and D. Aim 3 will determine the difference in susceptibility of N. gonorrhoeae towards azithromycin between efflux pump deficient and proficient environments, using disk diffusion and zone of inhibition. Results: We expect Group A will have a smaller diameter zone of inhibition exhibiting azithromycin resistance, while Groups B, C and D will result in a larger diameter exhibiting azithromycin susceptibility. Discussion: We anticipate that Group A will have the smallest diameter zone of inhibition due to the azithromycin resistant mutation and proficient efflux pump environment. We expect Group B will have the largest diameter, demonstrating that N. gonorrhoeae became susceptible to azithromycin with the deficient efflux pump environment masking the azithromycin resistant mutation. Group C (proficient pump) and D (deficient pump) are both wild-type strains therefore we predict they will have larger diameters due to their natural susceptibility to azithromycin. Conclusion: The proposed experiment could help uncover the molecular mechanisms behind masking, which could consequently provide a gateway towards effective strategies to combat AMR.

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 integrity0.0010.000
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 head0.028
GPT teacher head0.361
Teacher spread0.334 · 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
Published2021
Admission routes1
Has abstractyes

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