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Record W2793520669 · doi:10.3389/fmicb.2018.00127

Does Treatment Order Matter? Investigating the Ability of Bacteriophage to Augment Antibiotic Activity against Staphylococcus aureus Biofilms

2018· article· en· W2793520669 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 · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsCanadian Blood ServicesOttawa Hospital
FundersCanadian Blood ServicesOttawa Hospital Research Institute
KeywordsAugmentStaphylococcus aureusBiofilmMicrobiologyBacteriophageAntibioticsBiologyBacteriaEscherichia coliGeneticsGene

Abstract

fetched live from OpenAlex

The inability to effectively treat biofilm-related infections is a major clinical challenge. This has been attributed to the heightened antibiotic tolerance conferred to bacterial cells embedded within biofilms. Lytic bacteriophages (phages) have evolved to effectively infect and eradicate biofilm associated cells. The current study was designed to investigate the ability of phage treatment to enhance the activity of antibiotics against biofilm-forming Staphylococcus aureus. The biofilm positive S. aureus strain ATCC 35556, the lytic S. aureus phage SATA-8505, and five antibiotics (cefazolin, vancomycin, dicloxacilin, tetracycline and linezolid) routinely used to treat S. aureus infections, were examined in this study. The ability of the SATA-8505 phage to augment the effect of these antibiotics against biofilm cells was assessed by exposing them to one of the following five treatments: i) antibiotics alone, ii) phage alone, iii) a combination of the two treatments simultaneously, iv) staggered exposure to the phage followed by antibiotics, and v) staggered exposure to antibiotics followed by exposure to phage. Following treatment, the biofilm cells were dislodged and enumerated. The results demonstrate that treatment with either SATA-8505, antibiotics, or the simultaneous exposure of the biofilms to the two agents resulted in minimal reduction of viable biofilm associated cells. However, a significant reduction (up to 3 Log CFU/mL) was observed when the phage treatment preceded antibiotics. This effect was most pronounced with vancomycin and cefazolin which exhibited synergistic interactions with SATA-8505, particularly at lower antibiotic concentrations. This in vitro study serves as a proof of principle for the ability of bacteriophages to augment the anti-biofilm activity of antibiotics, and demonstrates that therapeutic outcomes can be influenced by the sequence of application of these therapeutic agents, and the nature of their interactions. Further investigation into the interactions between various lytic bacteriophages and antibiotics could provide a foundation to devise antibiotic- phage pairings that could serve to direct anti-biofilm therapeutic strategies.

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 score0.320
Threshold uncertainty score0.969

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.234
Teacher spread0.226 · 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