Specific immuno capturing of the Staphylococcal superantigen toxic‐shock syndrome toxin‐1 in plasma
Bibliographic record
Abstract
Toxic-shock syndrome is primarily caused by the Toxic-shock syndrome toxin 1 (TSST-1), which is secreted by the Gram-positive bacterium Staphylococcus aureus. The toxin belongs to a family of superantigens (SAgs) which exhibit several shared biological properties, including the induction of massive cytokine release and V(beta)-specific T-cell proliferation. In this study we explored the possibility to use monoclonal Variable domains of Llama Heavy-chain antibodies (VHH) in the immuno capturing of TSST-1 from plasma. Data is presented that the selected VHHs are highly specific for TSST-1 and can be efficiently produced in large amounts in yeast. In view of affinity chromatography, the VHHs are easily coupled to beads, and are able to deplete TSST-1 from plasma at very low, for example, pathologically relevant, concentrations. When spiked with 4 ng/mL TSST-1 more than 96% of TSST-1 was depleted from pig plasma. These data pave the way to further explore application of high-affinity columns in the specific immuno depletion of SAgs in experimental sepsis models and in sepsis in humans.
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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".