The role of probiotics in inhibition mechanism of methicillin-resistant staphylococcus aureus
Bibliographic record
Abstract
ABSTRACTMethicillin-resistant Staphylococcus aureus (MRSA) is a hospital-acquired pathogen with high prevalence across the globe. It raises a serious health concern due to its resistance to antibiotic agents, in particular, β-lactam, carbapenem, and penem. This pathogen causes various medical conditions, namely endocarditis, osteomyelitis, pneumonia, toxic shock syndrome (TSS), and food poisoning. Strains of lactic acid bacteria (LAB) such as Lactobacillus sp. and Bifidobacterium sp. inhibit pathogenic bacteria through competition for nutrients and adhesion sites, production of antimicrobial substances, and enhancement of immune system. The present hypothesis describes that these probiotics prevent the growth of MRSA by producing inhibitory agents like bacteriocin, lactic acid, acetic acid, propionic acid, hydrogen peroxide, and the intestinal pH reduction. Given an increasing resistance to antibiotics and its adverse effects, the use of other alternatives seems necessary. These beneficial bacteria and their metabolites which are available in the market as tablets, capsules, and powders can widely establish control over the growth of MRSA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".