Transmission of MRSA and MSSA between humans and farm animals
Bibliographic record
Abstract
Human nares are the main niche of Staphylococcus aureus, but farm animals can be also infected (cows) or colonized (pigs) constituting significant reservoir of this pathogen. Previous studies indicated that human and animal strains are quite distinct but the extent of cross-species specialization and transmission remains largely unknown. However, recent reports from several European countries as well as USA and Canada have indicated that employment in farming is an emerging risk factor for MRSA carriage. Pigs were found to be frequently colonized with MRSA, usually with a strain belonging to CC398. It is not known whether animal-human transmission was specific to this particular MRSA strain. S. aureus isolates from cow mastitis and pig colonization isolates were collected in parallel to nasal swab isolates from the animals' caretakers. The isolates were genotyped by AFLP, spatyping, and when appropriate by MLST. The isolates from cow mastitis were genetically uniform in comparison with human isolates. They were quite distinct from farmers\' carriage isolates, indicating pronounced hostspecialization. However, several cases where an infected cow and a colonized farmer had the same strain were detected, including one farm where two farmers were colonized and two cows were infected with MRSA belonging to CC398. Pig isolates were genetically more diverse than cow isolates. They were different from both human and cow isolates with one notable exception. Large fraction of pigs (20%) and pig caretakers (50%) were colonized with isolates belonging to CC398, majority of which were MSSA (2 cases of MRSA). These results indicate that host specialization in S. aureus is quite pronounced. Transmission between humans and farm animals was consequently quite rare. Both MSSA and MRSA strains belonging to otherwise pig-specific CC398 had increased capacity to colonize humans. Study of the genetic factors responsible for host specialization is underway.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".