MétaCan
Menu
← Back to cohort
Record W4210538830 · doi:10.1101/2022.01.29.478156

Evolution of β-lactamase mediated cefiderocol resistance

2022· preprint· en· W4210538830 on OpenAlexaff
Christopher Fröhlich, Vidar Sørum, Nobuhiko Tokuriki, Pål J. Johnsen, Ørjan Samuelsen

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsBiologyCephalosporinSiderophoreCeftazidimeComputational biologyMicrobiologyPseudomonas aeruginosaGeneticsBacteriaAntibiotics

Abstract

fetched live from OpenAlex

ABSTRACT Cefiderocol is a novel siderophore β-lactam with improved hydrolytic stability toward β-lactamases, including carbapenemases, achieved by combining structural moieties of two clinically efficient cephalosporins, ceftazidime and cefepime. Consequently, cefiderocol represents a treatment alternative for infections caused by multi-drug resistant Gram-negatives. Using directed evolution on a wide variety of different β-lactamases, such as KPC-2 and CTX-M-15 (Ambler class A), NDM-1 (class B), CMY-2 (class C) and OXA-48 (class D), we studied the role of cefiderocol during β-lactamase-mediated resistance development. First, we investigated how the expression of different β-lactamases causes changes in cefiderocol susceptibility. In a low-copy number vector, we found that OXA-48 and KPC-2 conferred non or marginal decreases in cefiderocol susceptibility, respectively. On the contrary, CMY-2, CTX-M-15 and NDM-1 substantially decreased cefiderocol susceptibility by 16-, 8- and 32-fold, respectively. Second, we determined the evolutionary potential of these enzymes to adapt to increasing concentrations of cefiderocol. Our data show that with the acquisition of only 1 to 2 mutations, all β-lactamases were evolvable to further cefiderocol resistance by 2- (NDM-1, CTX-M-15), 4- (CMY-2), 8- (OXA-48) and 16-fold (KPC-2). Cefiderocol resistance development was often associated with collateral susceptibility changes including increased resistance to ceftazidime and ceftazidime-avibactam as well as functional trade-offs against different β-lactam drugs. Taken together, contemporary β-lactamases of all Ambler classes can potentially contribute to cefiderocol resistance development and can acquire mutations allowing them to adapt to increasing cefiderocol concentration. At the same time, resistance development caused clinically important cross-resistance, especially against ceftazidime combinations. Summary Despite the reported higher stability of cefiderocol against β-lactamase hydrolysis, we show that the expression of β-lactamases from different Ambler classes significantly contributes to cefiderocol resistance and that these enzymes have the evolutionary potential to evolve towards increasing cefiderocol concentrations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 integrity0.0000.001
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicAntibiotic Resistance in Bacteria→French-language works237,207→