The Bacteriocin Sublancin Attenuates Intestinal Injury in Young Mice Infected With <i>Staphylococcus aureus</i>
Bibliographic record
Abstract
Sublancin, a bacteriocin, has bactericidal activity against a broad spectrum of gram-positive bacteria. However, studies have not been conducted to determine its in vivo efficacy against potential pathogens. The objective of this study was to investigate the effects of sublancin in a Staphylococcus aureus (S. aureus) infected mouse model which induced intestinal injury. A total of 160, 4-week-old mice were randomly assigned to one of eight treatments. Mice in the control group were injected intraperitoneally with 0.5 mL of 0.9% saline. Mice in the other seven groups were given an intraperitoneal injection of 0.5 mL saline containing 1.0 × 10(10) colony-forming units (CFU)/mL S. aureus. Six hours after inoculation, mice in the control group were again injected with 0.5 mL of 0.9% saline. Mice in the other seven groups were injected intraperitoneally with 0.5 mL of 0.9% saline containing 0, 0.5, 1.0, 2.0, or 4.0 mg/kg body weight (BW) sublancin or 1.0 or 2.0 mg/kg BW ampicillin. The results showed that 4.0 mg/kg sublancin and 2.0 mg/kg ampicillin significantly reduced mice mortality from 55 to 10%. The height and the number of proliferated cells from the intestinal villi in the sublancin and ampicillin treated mice were higher than in the control. We conclude that sublancin has potent antibacterial activity against S. aureus. Therefore, sublancin could find use as an alternative antimicrobial agent for the treatment of gram-positive bacterial infections.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".