A Neuroprotective Role for Gap Junctions
Bibliographic record
Abstract
Glial-neuronal interactions have been implicated in both normal information processing and neuroprotection. One pathway of cellular interactions involves gap junctional intercellular communication (GJIC). In astrocytes, gap junctions are composed primarily of the channel protein, connexin43 (Cx43), and provide a substrate for formation of a functional syncytium implicated in the process of spatial buffering in the CNS. Thus gap junctional communication may be neuroprotective following a CNS insult that entails glutamate cytotoxicity (i.e. ischemia). We have shown that blocking gap junctions during a glutamate insult to co-cultures of astrocytes and neurons results in increased neuronal injury. To assess the effect of reduced Cx43 and GJIC on neuroprotection, we examined brain infarct volume in wild type and Cx43 heterozygote null mice following focal ischemia. Cx43 heterozygous null mice exhibited a significantly larger infarct volume compared to wild type. At the cellular level, a significant increase in TUNEL positive cells was observed in the penumbral region of the Cx43 heterozygote mice. These results suggest that augmentation of GJIC in astrocytes may contribute to neuroprotection following ischemic injury. These findings support the hypothesis that gap junctions play a neuroprotective role against glutamate cytotoxicity.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".