LACTOFERRIN ENHANCES THE ANTIBIOTIC TREATMENT OF STAPHYLOCOCCUS AUREUS IN BONE INFECTION
Bibliographic record
Abstract
Lactoferrin (Lf), we have previously shown, has therapeutic potential in the field of skeletal regenerative medicine demonstrating its potent stimulating effects on bone growth. Recently, we have identified bovine lactoferrin (bLf) as a factor that also enhances antibiotic killing of Staphylococcus aureus (S. aureus). Biofilms are associated with around 65% of all infections and 80% of chronic infections. One feature of biofilm infection is tolerance to antibiotics due to the survival of a subpopulation of biofilm bacteria, where laboratory tests on planktonic cells indicate susceptibility. Tolerance is seen in bone infections of osteomyelitis and prosthetic joints, where methicillin-susceptible S. aureus (MSSA) strains predominate, but where treatments with the frontline penicillinase-resistant antibiotic cefazolin (CEF) can be ineffective. In vitro-grown biofilms of MSSA are 1000-fold more tolerant to CEF but can be eradicated by CEF at 10x minimal inhibitory concentration in the presence of bLf. Bone infection can impede blood circulation within the bone, leading to bone death. Lf as a potent stimulator of bone growth adds to its appeal as a treatment for bone 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) | 0.000 | 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 | 0.000 | 0.000 |
| 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".