The role of NKT cells in systemic Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) infection
Bibliographic record
Abstract
Abstract Methicillin-resistant Staphylococcus aureus (MRSA) is an extracellular pathogen responsible for many deaths in the hospital setting each year. The role of conventional T cells in MRSA infection has been extensively studied, however the role of CD1d-restricted natural killer T (NKT) cells in MRSA infection is unknown. NKT cells are divided into 2 subsets, type I expressing an invariant TCR, and type II NKT cells, expressing diverse TCR. Mice lacking both NKT cell subsets showed increased bacterial burdens, inflammatory foci, and neutrophilic infiltrates in the kidneys and increased bacterial burdens in the liver at early times post infection. Both type I and type II NKT cells are activated after SA infection and produce IFN-g. We identified polar lipid species from the cell membrane of MRSA that induce CD1d-dependent IFN-g production by type II NKT cells. We also demonstrate that type I NKT cells, together with neutrophils, control bacterial burdens in infected macrophages. Therefore, NKT cells can become activated and produce protective cytokines in response to MRSA infection that enhances control of infection prior to conventional T cell activation.
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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".