[P2–057]: INVESTIGATING THE EFFECTS OF LEVOTHYROXINE AND LIOTHYRONINE ON BETA‐AMYLOID AGGREGATION
Bibliographic record
Abstract
Based on a long-standing association between Alzheimer's disease, dementia, and thyroid dysfunction, various thyroid hormones were tested for their effects on the aggregation kinetics of Aβ40 and Aβ42. Levothyroxine (T4), liothyronine (T3), and their precursors were the primary compounds explored. In vitro assays involving Aβ40 and Aβ42 were conducted with the application of various thyroid hormone compounds including T4 and T3. The morphology of select samples were studied and micrographed using transmission electron microscopy. Computational chemistry was also conducted by assessing and ranking potential binding interactions between select thyroid compounds and beta-amyloid peptide dimers. Preliminary in vitro data indicates significant inhibition of beta-amyloid aggregation by thyroid hormones. Further studies are in progress. These results suggest that thyroid hormones have the potential to act as direct inhibitors of amyloid aggregation.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".