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Record W4409176529 · doi:10.1016/j.rvsc.2025.105634

Visualization of Staphylococcus aureus in the bovine mammary gland by fluorescence in situ hybridization

2025· article· en· W4409176529 on OpenAlexafffund
Ibtissem Doghri, Mario Jacques, Sylvain Nichols, Jean‐Philippe Roy, Simon Dufour

Bibliographic record

VenueResearch in Veterinary Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStaphylococcus aureusIn situ hybridizationIn situFluorescence in situ hybridizationMammary glandBiologyVisualizationMicrobiologyPathologyChemistryMedicineBacteriaComputer scienceGene expressionGeneticsGeneArtificial intelligence

Abstract

fetched live from OpenAlex

Bovine mastitis poses significant challenges to the dairy industry. Staphylococcus aureus is particularly problematic because of its ability to cause long-lasting infections. The aim of this study was to visualize S. aureus in infected mammary gland tissues via a specific fluorescent oligonucleotide probe and confocal microscopy. Tissue samples were obtained from cows with confirmed positive S. aureus milk cultures. Fluorescent in situ hybridization revealed the existence of large bacterial aggregates, spanning 30–50 μm in size and specifically located within the mammary parenchyma. This is the first direct visualization of S. aureus aggregates within the udder of naturally infected cows. • Bovine mastitis pathogens are suspected to grow as biofilms within the udder. • We visualized S. aureus in naturally infected mammary gland. • We observed large bacterial aggregates, indicative of biofilm-like mode of growth.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.957
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.006
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.074
GPT teacher head0.373
Teacher spread0.299 · 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 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
Published2025
Admission routes2
Has abstractyes

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