Studies on Alternaria Allergens
Bibliographic record
Abstract
The biochemical and immunological characteristics of a series of commercial samples of Alternaria tenuis were examined, including samples from two different companies. There was a considerable variation in the biochemical parameters such as the gel filtration profile on Sephadex G-100, isoelectric focussing pattern and immunodiffusion precipitin band pattern. The content and proportion of two high molecular weight polysaccharides, one a galactomannan and the other a glucan, also varied greatly. In contrast, the allergenic properties of the samples were more consistent. In rat IgE passive cutaneous anaphylaxis tests, extensive cross-reactivity was observed among batches from the same company, but this cross-reactivity was weaker when batches from the two companies were compared. In direct radioallergosorbent tests (RAST) the samples showed similar reactivities, but RAST inhibition tests showed a 40-fold range in activity between samples from one company and 55-fold between batches from the two sources. It was found that the proportions of the major A. tenuis allergen and a related hypoallergenic antigen in the samples were relatively constant, hence RAST inhibition can be used as a measure of allergenic potency despite the presence of this cross-reacting antigen. The lack of correlation between allergenic and biochemical properties of the various samples suggests that a simple biochemical test is unlikely to be a satisfactory replacement for the RAST inhibition assay in standardizing A. tenuis extracts.
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 | 0.001 |
| 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".