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Record W4386698873 · doi:10.1038/s41598-023-42505-3

Bacteriophages with depolymerase activity in the control of antibiotic resistant Klebsiella pneumoniae biofilms

2023· article· en· W4386698873 on OpenAlexaff
Fedor Zurabov, E.A. Glazunov, T. A. Kochetova, Viktoria Uskevich, Valentina Popova

Bibliographic record

VenueScientific Reports · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsKlebsiella pneumoniaeMicrobiologyBiofilmKlebsiella pneumoniaAntibioticsPneumoniaKlebsiellaBacteriophageBiologyPseudomonas aeruginosaMedicineBacteriaEscherichia coli

Abstract

fetched live from OpenAlex

Klebsiella pneumoniae is associated with a variety of infections, such as pneumonia, urogenital infection, liver abscess, and bloodstream infection. It is especially dangerous for patients in medical facilities, where it can cause ventilator-associated pneumonia or intensive care unit-acquired pneumonia. The emergence of multidrug-resistant and hypervirulent strains as well as the ability to form biofilms on various medical devices complicates the treatment of such infections and makes the use of antibiotics ineffective. The application of bacteriophages is a promising alternative for combating Klebsiella pneumoniae biofilms. In the present study a cocktail of 3 bacteriophages with depolymerase activity was used to control antibiotic resistant Klebsiella pneumoniae biofilms in vitro. Biofilms were examined using optical and scanning electron microscopy. The obtained results demonstrate that the studied bacteriophage cocktail can effectively disrupt Klebsiella pneumoniae biofilms.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 teacher head, 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

Citations51
Published2023
Admission routes1
Has abstractyes

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