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Record W4247618648 · doi:10.22215/etd/2016-11643

Genetic Changes Leading to Antibiotic Resistance in Clinical Isolates of Escherichia coli

2016· dissertation· en· W4247618648 on OpenAlexaff
Prabhjeet Basra

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsCarleton University
Fundersnot available
KeywordsEscherichia coliQuinoloneAntibiotic resistanceAntibioticsBiologyGeneMicrobiologyMultiple drug resistanceDrug resistanceGeneticsPhenotype

Abstract

fetched live from OpenAlex

The spread of antibiotic resistance has limited the use of antibiotics in clinical settings, resulting in a huge threat to public health worldwide.Multidrug resistance causes thousands of deaths annually and is currently a significant financial burden in many countries.In this study, clinical isolates of Escherichia coli with varying drug resistance profiles were used to understand the genetic changes contributing to quinolone and β-lactam resistance.Novel genetic changes in gyrA and gyrB genes, known to contribute to quinolone resistance were recorded.Furthermore, the CTX-M-14 and -15 genes were found in most β-lactam resistance strains.Significant correlations between mutations in novel genes and various phenotypic traits were also observed, suggesting a role for these genes in determining these phenotypes.This work further increases our knowledge regarding causes of antibiotic resistance in clinical strains and lays a foundation for future research.

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)0.001
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.016
GPT teacher head0.312
Teacher spread0.296 · 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
Published2016
Admission routes1
Has abstractyes

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