Down‐regulation of protein <scp>l</scp>‐isoaspartyl methyltransferase in human epileptic hippocampus contributes to generation of damaged tubulin
Bibliographic record
Abstract
Protein L-isoaspartyl methyltransferase (PIMT) repairs the damaged proteins which have accumulated abnormal aspartyl residues during cell aging. Gene targeting has elucidated a physiological role for PIMT by showing that mice lacking PIMT died prematurely from fatal epileptic seizures. Here we investigated the role of PIMT in human mesial temporal lobe epilepsy. Using surgical specimens of hippocampus and neocortex from controls and epileptic patients, we showed that PIMT activity and expression were 50% lower in epileptic hippocampus than in controls but were unchanged in neocortex. Although the protein was down-regulated, PIMT mRNA expression was unchanged in epileptic hippocampus, suggesting post-translational regulation of the PIMT level. Moreover, several proteins with abnormal aspartyl residues accumulate in epileptic hippocampus. Microtubules component beta-tubulin, one of the major PIMT substrates, had an increased amount (two-fold) of L-isoaspartyl residues in the epileptic hippocampus. These results demonstrate that the down-regulation of PIMT in epileptic hippocampus leads to a significant accumulation of damaged tubulin that could contribute to neuron dysfunction in human mesial temporal lobe epilepsy.
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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) | 0.000 | 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) | 0.001 | 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".