Time‐dependent Effect of Kainate‐induced Seizures on Glutamate Receptor GluR5, GluR6, and GluR7 mRNA and Protein Expression in Rat Hippocampus
Bibliographic record
Abstract
PURPOSE: Glutamate receptor 6 is strongly implicated in human refractory epilepsy and in kainic acid (KA)-induced status epilepticus (SE). In vitro pharmacologic studies with newer antiepileptic drugs (AEDs) are increasingly indicating the role of glutamate receptor 5 (GluR5) in epilepsy. Glutamate receptor 7 (GluR7) has been the least investigated in the context of epilepsy. We studied the messenger ribonucleic acid (mRNA) and protein expression of GluR5, GluR6, and GluR7 in rat hippocampus 72 h, 90 days, and 180 days after KA-induced SE. METHODS: SE was induced by injecting KA intraperitoneally (i.p.) into adult rats. The hippocampi were isolated 72 h, 90 days, and 180 days after SE. Reverse transcription-polymerase chain reaction (RT-PCR) was performed for mRNA expression. Western blots determined the protein expression. RESULTS: A significant increase was noted in GluR5 expression in KA-treated animals compared with controls at 72 h and 180 days, with no significant difference at the intervening 90-day point. Protein levels for GluR5 increased at 72 h and remained elevated until 180 days. GluR7 mRNA showed a significant decrease at 90 days after seizures. Neither the mRNA expression nor the protein levels of GluR6 differed from controls at any of the times after SE. CONCLUSIONS: KA-induced SE leads to an upregulation of GluR5 mRNA and protein and a downregulation of GluR7 mRNA in rat hippocampus, with no change in GluR6 mRNA or protein expression.
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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) | 0.002 | 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".