Neuroinflammation is associated with changes in glial mGluR5 expression and the development of neonatal excitotoxic lesions
Bibliographic record
Abstract
It has been hypothesized that neuroinflammation triggered during brain development can alter brain functions later in life. We investigated the contribution of inflammation to the alteration of normal brain circuitries in the context of neuroexcitotoxicity following neonatal ventral hippocampal lesions in rats with ibotenic acid, an NMDA glutamate receptor agonist. Excitotoxic ibotenic acid lesions led to a significant and persistent astrogliosis and microglial activation, associated with the production of inflammatory mediators. This response was accompanied by a significant increase in metabotropic glutamate receptor type 5 (mGluR5) expression within two distinct neuroinflammatory cell types; astrocytes and microglia. The participation of inflammation to the neurotoxin-induced lesion was further supported by the prevention of hippocampal neuronal loss, glial mGluR5 expression and some of the behavioral perturbations associated to the excitotoxic lesion by concurrent anti-inflammatory treatment with minocycline. These results indicate that neuroinflammation significantly contributes to long-lasting excitotoxic effects of the neurotoxin and to some behavioral phenotypes associated with this model. Thus, the control of the inflammatory response may prevent the deleterious effects of excitotoxic processes that are triggered during brain development, limiting the risk to develop some of the behavioral manifestations related to these processes in adulthood.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".