Glial gap junctional communication involvement in hippocampal damage after middle cerebral artery occlusion
Bibliographic record
Abstract
OBJECTIVE: Most patients with stroke caused by middle cerebral artery occlusion (MCAO) show cognitive deficit that is generally regarded as resulting from damage to the cerebral cortex rather than the hippocampus. Whether MCAO induces hippocampal damage and whether this contributes to the cognitive defects remains unclear. Here we investigate the hippocampal damage and its correlation to cognitive defects after exclusively unilateral MCAO and the underlying mechanism for that damage. METHODS: Patients were assessed for hippocampal damage by magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA), and the Mini Mental-Status Evaluation (MMSE) and Rey Auditory Verbal Learning Test (RAVLT) were used to assess for cognitive defects. RESULTS: We provide the first evidence that patients with exclusively unilateral MCAO showed hippocampal damage characterized by an infarct-size-independent atrophy and alterations in neuronal and glial metabolites in the ipsilateral hippocampus, in parallel with cognitive impairment. Rodent MCAO also induced delayed shrinkage and pyramidal neuronal death in the ipsilateral hippocampus and an impairment of hippocampal-dependent spatial memory. Blocking Gap junctional communication (GJC) with carbenoxolone or downregulation of connexin43 (Cx43) significantly increased the survival of the pyramidal neurons in the ipsilateral hippocampus and improved behavioral scores. Furthermore, Cx43 heterozygous mice showed reduced shrinkage and metabolite abnormality in ipsilateral hippocampus after MCAO. INTERPRETATION: Astroglial GJC plays a significant role in MCAO-induced remote hippocampal damage and cognitive impairment. It might be possible to improve the cognition in patients with MCAO by manipulating interastrocytic communication via the gap junction channels.
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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".