Identification of a New Target in the Interactions between Staphylococcal Enterotoxin B with the Renal Proximal Tubule Epithelial Cells
Bibliographic record
Abstract
Staphylococcal eneterotoxin B (SEB) a monovalent T cell mitogen and inducer of T suppressor cells, is known to form complexes with the major histocompatibility complex class II and T‐cell receptor in a manner that is quite different from the way the natural ligands bind to the same receptors and direct normal cellular responses it bypasses the normal route of antigen processing by binding as an intact protein to the complex formed by the MHC class II receptor on the antigen‐presenting cell and the T cell receptor. It is estimated that within 90 min. post‐exposure to SEB, >75% of the toxin is cleared to the renal tubule epithelial cells. We hypothesize that SEB binds to these cells using a mechanism that does not include MHCII. Binding assays carried out in vitro in proximal tubule epithelial cells suggests that glycosphingolipids and lipid rafts play a major role in SEB interactions with these cells. CD1d is an MHC class I homologous protein that is present in the plasma membrane lipid rafts and is proposed to be involved in presenting the antigen to the NKT cells. We have studied SEB interactions with the proximal tubule epithelial cells using imaging and direct protein‐protein interaction studies and showed that SEB can interact with CD1d on the proximal tubule epithelial cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".