Poster Sessions BP01: Energy Metabolism. NMR investigation of metabolic alterations in the brain of thiamine‐deficient rats
Bibliographic record
Abstract
Thiamine deficiency (TD) results in region‐selective impairment of brain metabolism. Since thiamine is a cofactor for enzymes involved in glucose metabolism, 1H and 13C‐NMR was used to investigate metabolic fluxes through the major pathways of glucose metabolism in vulnerable (medial thalamus, MT; inferior colliculus, IC) and nonvulnerable brain structures of rats made thiamine deficient following treatment with the central thiamine antagonist pyrithiamine vs. pair‐fed controls. Symptomatic stages of TD resulted in decreased glutamate and GABA in MT an IC confirming previous biochemical studies. 13C‐isotopomer analysis revealed decreased de novo synthesis of [4–13C]glutamate (30%p < 0.02) and [2–13C]GABA (60%p < 0.01) in MT and IC consistent with decreased activities of pyruvate‐ and α‐ketoglutarate dehydrogenases. These changes were accompanied by decreased consumption of glucose and increased synthesis of lactate from [1–13C]glucose confirming decreased mitochondrial metabolism. Accumulation of glyceraldehyde‐3‐phosphate suggested inhibition of glucose flux through the thiamine‐deficient enzyme transketolase. Onset of symptoms of TD and significant cell death was accompanied by decreased neuronal marker molecules NAA and NAAG in MT. Focal lactate accumulation resulting from decreased activities of mitochondrial thiamine‐dependent enzymes appears to play a key role in the pathogenesis of selective neuronal cell death in TD. [funded by CIHR Canada].
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.323 | 0.088 |
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".