Investigation of PVL and MecA Gene Locies in Methicillin-Resistant<i> Staphylococcus aureus</i> (MRSA) Strains Isolated from Nosocomial Samples of Hospital Patients and Hospital Staff
Bibliographic record
Abstract
Objective : Methicillin-resistant (MRSA) is a bacterium responsible for some infections difficult to treat in humans. Antibiotic resistance is the ability of microorganisms to resist the effects of antibiotic. MRSA is a strain of Staphylococcus aureus that is resistant to a large group of antibiotics by its definition. We studied in the Archeometry and Biotechnology Laboratory of Science Faculty in Selcuk University. In this study, the samples were taken from cultured nosocomial infections of 233 hospital staff and 477 hospital patients (total 710) in the Medical School Hospital of Selcuk University. We collected 2 Methicillin-susceptible Staphylococcus aureus (MSSA) samples from hospital patients and 40 Methicillin-resistant Staphylococcus aureus (MRSA) samples from hospital patients and staff (36 hospital patients 7.5%, 4 hospital staff 1.7%) for this research. Methods : We looked into present of mecA-1 , mecA-2 , PVL-1 , PVL-2 , and PVL-3 genes in each samples by PCR methods. mecA-1 and mecA-2 gene loci or band patterns in 40 MRSA samples was amplified by PCR. Results : mecA-1 and mecA-2 were observed in 40 MRSA, but not observed in 2 MSSA. PVL-1 gene was observed in 22 MRSA, PVL-2 gene was observed in 25 MRSA, PVL-3 gene was observed in 33 MRSA. PVL gene region was not observed in 2 MSSA strains. Molecular findings were verified the microbiologic results in the research. The mutation was not determined in MRSA originated from hospital patients and staff. Conclusion : The result of this study showed that the prevalence of MRSA was high in the hospital. It is an important sign to meet the challenges of the fight against epidemics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".