Variations in carbapenem resistance associated with the VIM-1 metallo-β-lactamase across the <i>Enterobacterales</i>
Bibliographic record
Abstract
ABSTRACT The VIM-1 metallo-β-lactamase enzyme, encoded as a cassette within class 1 integrons, is found in Gram-negative clinical isolates worldwide and has been linked to outbreaks of bacterial pathogens in nosocomial settings. Six vim-1 + clinical isolates, from the genera Escherichia , Klebsiella , and Enterobacter , were obtained from Kingston, Ontario, Canada. Whole genome sequencing revealed that vim-1 was plasmid-borne in all strains and situated as the first gene in In916 or In110 integrons. Analysis of related plasmids suggested that these vim-1 -containing plasmids are globally disseminated and have spread via horizontal gene transfer and autochthonous vertical spread within Ontario. Interestingly, the minimum inhibitory concentrations of ertapenem and meropenem, two clinically relevant carbapenem antibiotics, against these six isolates varied more than tenfold, suggesting the effects of VIM-1 are dependent on the genomic content of the host microbe. To further study the genomic content dependency of VIM-1, we introduced vim-1 into three common Enterobacterales laboratory strains. Although introduction of vim-1 into Escherichia coli DH5α resulted in little resistance to ertapenem or meropenem, multiple rounds of adaptive laboratory evolution allowed us to identify variants with extremely high levels of resistance to both carbapenems. DNA sequencing revealed that the increase in carbapenem resistance was due to a combination of increased vim-1 gene dosage and epistatic interactions with mutations of ompC that likely would have decreased outer membrane permeability to these antibiotics. Together, these results provide additional support for the role of gene epistasis is modulating the antimicrobial resistance phenotypes of acquired resistance genes, as well as previous results suggesting that the presence of a β-lactamase gene is insufficient to confer strong resistance to carbapenems without being paired with reduced outer membrane permeability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".