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Record W2043737981 · doi:10.3389/fmicb.2012.00036

Mechanism of Honey Bacteriostatic Action Against MRSA and VRE Involves Hydroxyl Radicals Generated from Honey’s Hydrogen Peroxide

2012· article· en· W2043737981 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in Microbiology · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsLondon Health Sciences CentreBrock University
FundersAgriculture and Agri-Food CanadaAgricultural Adaptation CouncilOntario Centres of Excellence
KeywordsBroth microdilutionMicrobiologyHydrogen peroxideStaphylococcus aureusBacteriaEnterococcus faeciumBiofilmEnterococcusAntibioticsBiologyChemistryMinimum inhibitory concentrationBiochemistry

Abstract

fetched live from OpenAlex

It has been recently reported that honey hydrogen peroxide in conjunction with unknown honey components produced cytotoxic effects resulting in bacterial growth inhibition and DNA degradation. The objective of this study was twofold: (a) to investigate whether the coupling chemistry involving hydrogen peroxide is responsible for a generation of hydroxyl radicals and (b) whether (•)OH generation affects growth of multi-drug resistant clinical isolates. The susceptibility of five different strains of methicillin-resistant Staphylococcus aureus (MRSA) and four strains of vancomycin-resistant Enterococcus faecium (VRE) isolates from infected wounds to several honeys was evaluated using broth microdilution assay. Isolates were identified to genus and species and their susceptibility to antibiotics was confirmed using an automated system (Vitek(®), Biomérieux(®)). The presence of the mec(A) gene, nuc gene and van(A) and (B) genes were confirmed by polymerase chain reaction. Results showed that no clinical isolate was resistant to selected active honeys. The median difference in honeys MICs against these strains ranged between 12.5 and 6.25% v/v and was not different from the MIC against standard Escherichia coli and Bacillus subtilis. Generation of (•)OH during bacteria incubation with honeys was analyzed using 3'-(p-aminophenyl) fluorescein (APF) as the (•)OH trap. The (•)OH participation in growth inhibition was monitored directly by including APF in broth microdilution assay. The growth of MRSA and VRE was inhibited by (•)OH generation in a dose-dependent manner. Exposure of MRSA and VRE to honeys supplemented with Cu(II) augmented production of (•)OH by 30-fold and increased honey bacteriostatic potency from MIC(90) 6.25 to MIC(90)< 0.78% v/v. Pretreatment of honeys with catalase prior to their supplementation with Cu ions fully restored bacterial growth indicating that hydroxyl radicals were produced from H(2)O(2) via the Fenton-type reaction. In conclusion, we have demonstrated for the first time that bacteriostatic effect of honeys on MRSA and VRE was dose-dependently related to generation of (•)OH from honey H(2)O(2).

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.014
GPT teacher head0.197
Teacher spread0.183 · 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