Glyceraldehyde-3-phosphate dehydrogenase as a target for small-molecule disease-modifying therapies in human neurodegenerative disorders
Bibliographic record
Abstract
Recent articles have highlighted numerous additional functions of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) that are independent of its well-documented glycolytic function. One of the most intriguing of these functions is as an initiator of programmed cell death cascades. This activity involves a nuclear appearance of GAPDH, a considerable proportion of which requires synthesis of new GAPDH protein and has characteristics suggesting the involvement of a novel isozyme. The relevance of such findings to human neurodegenerative conditions is emphasized by the increased nuclear GAPDH observed in postmortem samples from patients with Parkinson's disease, Alzheimer's disease, Huntington's disease and glaucoma, among others. A number of small-molecule compounds have now been identified that show anti-apoptotic activity because of their ability to interact with GAPDH and prevent its nuclear accumulation. These compounds, one of which is currently being tested in late-stage Phase II clinical trials as a disease-modifying therapy for Parkinson's disease, have potential utility in the treatment of human neurodegenerative conditions.
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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 | 0.001 |
| 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".