Region‐selective alterations of glucose oxidation and amino acid synthesis in the thiamine‐deficient rat brain: a re‐evaluation using <sup>1</sup>H/<sup>13</sup>C nuclear magnetic resonance spectroscopy
Bibliographic record
Abstract
Thiamine deficiency provides an effective model of selective neuronal cell death. (1)H and (13)C-NMR was used to investigate the effects of thiamine deficiency on the synthesis of amino acids derived from [1-(13)C]glucose in vulnerable (medial thalamus; MT) compared to non-vulnerable (frontal cortex; FC) brain regions. Following 11 days of thiamine deficiency, a time-point associated with the absence of significant neuronal cell death, regional concentrations of glutamate, glutamine and GABA remained unaffected in FC and MT; however, decreased levels of aspartate in MT at this time-point were a predictor of regional vulnerability. De novo synthesis of glutamate and GABA were unaffected at 11 days of thiamine deficiency, while synthesis of [2-(13)C]aspartate was significantly impaired. Glucose loading, which has been shown to exacerbate symptoms in patients with thiamine deficiency, resulted in further decreases of TCA cycle flux and reduced de novo synthesis of glutamate, aspartate and GABA in thiamine-deficient (TD) rats. Isotopomer analysis revealed that impaired TCA cycle flux and decreased aspartate synthesis due to thiamine deficiency occurred principally in neurons. Glucose loading deteriorated TD-related decreases in TCA cycle flux, and concomitantly reduced synthesis of aspartate and glutamate in MT.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".