Protective and regenerative response endogenously induced in the ischemic brain
Bibliographic record
Abstract
Neuronal cells are highly vulnerable to ischemic insult. Because adult neurons are highly differentiated and cannot self-propagate, loss of neurons often results in functional deficits in mammalian brains. However, it has recently been shown that neurons and neuronal circuits exhibit protective and regenerative responses in a rodent model of experimental ischemia. At first, neurons respond by producing several protective proteins such as heat shock proteins (HSPs) after sublethal ischemia and then acquire tolerance against a subsequent ischemic insult (ischemic tolerance). Once neurons suffer irreversible injury, two repair processes, neurogenesis and synaptogenesis, are endogenously induced. Neuronal stem and (or) progenitor cells can proliferate in two brain areas in adult animals: the subventricular zone and the subgranular zone in the dentate gyrus. After ischemic insult, these stem (progenitor) cells proliferate and differentiate into neurons in the dentate gyrus of the hippocampus. Reactive synaptogenesis has been also observed in the injured brain following a period of long-term infarction, but it is unclear if it can compensate for disconnected circuits. Understanding the molecular mechanism underlying these protective and regenerative responses will be important in developing a new strategy for aimed at the augmentation of resistance against ischemic insult and the replacement of injured neurons and neuronal circuits.
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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".