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Record W4412902904 · doi:10.1128/aem.00678-25

Evaluation of <i>Staphylococcus simulans</i> inhibition of <i>Staphylococcus aureus</i> infection by an <i>in vivo</i> murine mastitis model

2025· article· en· W4412902904 on OpenAlexaff
Benjamin Caddey, Mengyue Li, Jeroen De Buck, Bo Han, Jian Gao, Herman W. Barkema

Bibliographic record

VenueApplied and Environmental Microbiology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStaphylococcus aureusMastitisMicrobiologyBiologyIn vivoSuperinfectionStaphylococcal infectionsPathogenIn vitroMicrococcaceaeImmunologyBacteriaGeneticsVirus

Abstract

fetched live from OpenAlex

ABSTRACT Staphylococcus aureus is a major bovine mastitis pathogen and can result in chronic intramammary infections that are subject to considerable antimicrobial use. In comparison, non- aureus staphylococci (NAS) are common in intramammary infections, but some strains of NAS reduce risk of clinical mastitis and can inhibit S. aureus growth in vitro . This study aims to determine whether in vitro inhibition of S. aureus growth by NAS species translates to in vivo inhibition within a mouse mastitis model and to characterize NAS mammary tissue colonization. Two Staphylococcus simulans strains were selected for in vivo experimentation to compare genetically similar strains that can and cannot inhibit S. aureus in vitro . Inhibition of S. aureus growth in vivo was tested by pre-inoculating mouse mammary glands with S. simulans 24 hours prior to S. aureus inoculation and harvesting mammary gland tissue 24 hours after S. aureus superinfection. Mammary glands were processed for bacterial load quantification, cytokine profiling, and histological processing. Pre-inoculation of either S. simulans strain resulted in reduced S. aureus load in mammary tissue. Superinfection of S. simulans and S. aureus showed no difference in inflammation severity compared to S. aureus alone, although S. simulans pre-inoculation significantly increased expression of IL-10. These results demonstrate that protection against S. aureus mastitis is possible by prior colonization of mammary tissue by S. simulans independent of in vitro growth inhibition capacity. This work will foster future research aiming to fully understand the variety of roles NAS strains play in bovine mastitis, aiding in the development toward alternative mastitis prophylaxis. IMPORTANCE Bovine mastitis is a leading economic concern for dairy production globally, representing the largest reason for antimicrobial use in dairy cattle. Non- aureus staphylococci (NAS) are among the most frequently isolated bacteria from mild, sometimes self-limiting, intramammary infections in cattle and may be associated with a lower risk of infection by major clinical mastitis pathogens such as Staphylococcus aureus . This study investigated the inhibition of S. aureus mastitis by two NAS strains using an in vivo mouse mastitis model. This study demonstrated that when mammary glands are colonized by either one of these NAS strains, the ability of S. aureus to establish within the mouse mammary glands is reduced. These results demonstrate the long-term potential for NAS strains to become an alternative prophylactic treatment for bovine mastitis and support efforts to reduce antimicrobial dependencies in food production.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2025
Admission routes1
Has abstractyes

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