3‐Nitropropionic acid‐induced neurotoxicity – assessed by ultra high resolution positron emission tomography with comparison to magnetic resonance spectroscopy
Bibliographic record
Abstract
To explore acute and long-term effects of 3-nitropropionic acid (3-NP)-induced neurotoxicity, longitudinal positron emission tomography (PET) studies of energy metabolism and magnetic resonance spectroscopic (MRS) studies of neurochemicals were conducted in a rat model. The first injection of 3-NP (20 mg/kg i.p.) was followed by MRS study of neurochemicals and PET study of glucose utilization using [(18)F]2-fluorodeoxy-D-glucose ((18)F-FDG). After that, 3-NP administration was done two times a day with a dose of 10 mg/kg i.p. until animals were symptomatic or for a maximum of 5 days combined with daily PET studies. Long-term effects were investigated 4 weeks and 4 months after cessation of 3-NP. These studies showed a significant inter-animal variation in response of 3-NP toxicity. Animals that developed large striatal lesions had decreased glucose utilization in the striatum and cortex 1 day after starting 3-NP injections. Similarly succinate and lactate/macromolecule levels were enhanced; these changes being, however, reversible. Progressive degeneration was observed by decreasing striatal glucose utilization and N-acetylaspartate (NAA) and increasing choline. These observations paralleled with weight loss and deficits in behavior. Animals that did not develop lesions showed reversible enhancement in cortical glucose utilization and no change in striatal glucose utilization or neurochemicals or locomotor activity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".