Bibliographic record
Abstract
A reduction in cerebral glucose utilization is one of the earliest signs of Alzheimer's disease. Although the exact cause of this reduction is not known, gathering evidence suggests that it is part of a complex metabolic adaptation to oxidative stress during which glycolysis and oxidative phosphorylation are turned down, glucose metabolism is shifted to the pentose phosphate pathway to generate antioxidant reducing factors such as nicotinamide adenine dinucleotide phosphate (NADPH) and glutathione, and the gamma-aminobutyric acid (GABA) shunt is activated to provide glutamate as an alternate source of energy. In the face of these adaptive metabolic changes, the Alzheimer brain runs short of energy and begins to digest itself. The very early induction of macroautophagy attests to the search for nutrients. In clinical trials, antioxidants alone have not been effectively able to influence the course of the disease as these agents do not meet the energy and nutritional requirements of the brain. Evidence is presented that gammahydroxybutyrate, a natural product of the GABA shunt, can provide the necessary energy, carbon, and antioxidant power and that its use may be able to delay the onset and progress of Alzheimer's disease.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".