It's All about Timing: The Involvement of Kir4.1 Channel Regulation in Acute Ischemic Stroke Pathology
Bibliographic record
Abstract
Acute ischemic stroke (AIS) is a cerebrovascular disease that is predominately caused by a blood clot that limits blood flow and results in neuronal loss. Glial cells, specifically astrocytes, have been shown to support neurons in the area impacted by the stroke. Kir4.1, an inwardly rectifying potassium channel found predominantly on astrocytes, is involved in K+ spatial buffering, glutamate uptake, and water and volume regulation. Due to these properties, Kir4.1 may also be involved in preventing neuronal loss following ischemia. Potassium-starvation results in programmed cell death under ischemic conditions due to autophagic up-regulation. However, recent evidence indicates that the time at which the autophagic pathway is activated determines whether or not it results in cell survival or death following ischemia. Furthermore, the application of rapamycin, an inhibitor of the mammalian target of rapamycin (mTOR) pathway, reduces the amount of cell survival during times that previously resulted in cell survival due to autophagy under normal conditions. This suggests that Kir4.1 may be linked to the activation of the mTOR pathway, due to its ability to maintain potassium homeostasis, resulting in cell survival under ischemic conditions. The current review proposes a potential underlying mechanism, involving Kir4.1, in the pathogenesis of ischemic stroke.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".