Bitter brain : Hypoglycemia and the pathology of neurodegeneration and dementia
Bibliographic record
Abstract
BACKGROUND: Glucose poses the predominant energy source of the brain and its continuous uptake is vital for optimal brain function. Neurons metabolize glucose to generate adenosine triphosphate via glycolysis and the tricarboxylic acid cycle, whereas astrocytes utilize glucose both as an energy source and to generate glutamine - a neurotransmitter precursor- for neurons [Brekke et al., 2015]. Here, we prospectively examine the relationship between chronic hypoglycemia and the associated links between neurodegeneration and dementia. It is proposed that severe episodes or chronic hypoglycemia will induce an increased risk of dementia. METHODS: A complex and specific literature search was conducted across various scientific, international databases for English, peer-reviewed articles and reviews published in the last two decades using the following terms: diabetes, insulin, glucose metabolism, hypoglycemia, and Alzheimer's disease (AD). Case reports were excluded. The main objectives were predominantly focused on animal- or human-based studies. RESULTS: When blood glucose levels are
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".