Bibliographic record
Abstract
A brief discussion of the general structure of proteoglycans is followed by a description of the diverse nature of amyloids. Using the murine form of inflammation-associated (AA) amyloid, we have examined the temporal and anatomical relationship between the heparan sulfate proteoglycan, its mRNA and AA amyloid deposition in vivo. The in vitro effect of heparan sulfate on the secondary structure of amyloid precursors, and on amyloid peptides, suggests that this interaction is important in amyloidogenesis. The relationship of these two components likely reflects a more general process taking place between basement membrane proteins (which may be synthesized by a variety of cell types within and outside the CNS) and amyloid precursors. A general definition of in vivo amyloid deposits emerges from these considerations as do concepts for interfering with amyloidogenesis. Preliminary results showing the effect of small molecule aliphatic sulfonates and sulfates on in vitro amyloid beta-protein fibrillogenesis and AA amyloidogenesis in vivo supports the general process presented and suggests therapeutic strategies for treating amyloid-based diseases.
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 | 0.001 | 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 | 0.001 |
| 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".