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Record W4402423471 · doi:10.24908/iqurcp18018

Effects of ZinT-Mediated Zinc Sequestration on Metallo-β-Lactamase Function in Escherichia coli

2024· article· en· W4402423471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsQueen's University
Fundersnot available
KeywordsEscherichia coliZincFunction (biology)MicrobiologyChemistryBiologyBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

β-lactams are the most prescribed antibiotic class, but their clinical utility is threatened by the production of metallo-β-lactamase (MBL) enzymes by resistant bacteria. MBLs such as NDM-1 employ zinc ions as cofactors, allowing them to degrade β-lactams. The zinc chaperone ZinT transports zinc into the cytoplasm for intracellular functions, potentially decreasing the availability of zinc in the periplasm for MBLs. We hypothesize that when zinc is limited, ZinT could impair NDM-1 activity and make bacteria more susceptible to β-lactams. To determine whether ZinT and NDM-1 compete for periplasmic zinc, bacterial growth and NDM-1 activity were tested in zinc-poor M9 minimal media for NDM-1-producing Escherichia coli strains with different levels of zinT expression. In addition to wild-type and ΔzinT knockout strains, a recombinant zinT-containing plasmid was transformed into ΔzinT knockout cells to produce a complementation strain with increased zinT expression. Growth assays were conducted in M9 with various concentrations of the β-lactam antibiotic, meropenem. Under these conditions, the ΔzinT strain grew in significantly higher meropenem concentrations than the other strains tested. NDM-1 activity assays revealed that the ΔzinT strain hydrolyzed meropenem notably faster than wild-type cells, whereas the complementation strain showed almost no hydrolysis. This suggests that the increased ZinT production in the complementation strain effectively sequestered zinc from NDM-1. These differences in meropenem hydrolysis and bacterial growth were absent in zinc-sufficient Cation-Adjusted Mueller-Hinton Broth, providing evidence that ZinT and NDM-1 compete for periplasmic zinc under nutrient deficiency. Overall, our results elucidate the effects of competing zinc requirements under zinc-deficient conditions resembling the host environment during a bacterial infection. In these zinc-deficient environments, ZinT can deprive NDM-1 of zinc, causing impaired enzymatic activity and bacterial survival. By better understanding how MBLs function under physiological conditions, future investigations can more reliably explore countermeasures to the growing threat of antibiotic resistance.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.335
Teacher spread0.295 · 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