Shut-Down of Translation, a Global Neuronal Stress Response:Mechanisms and Pathological Relevance
Bibliographic record
Abstract
Shut-down of translation is a global stress response required to block synthesis of proteins that cannot be correctly folded and thereby reduce the work load of the folding machinery, a primary target of the pathological process triggered by severe forms of stress. The short-term control of protein synthesis involves alterations in the activity of initiation factors mediated through changes in their phosphorylation states, the alpha subunit of eukaryotic initiation factor 2 being a key player in this process. While the stress-induced shut-down of translation is viewed as a protective response, the inability of vulnerable cells to restore protein synthesis after being exposed to a severe form of stress is a pathological process because it blocks the translation of messages coding for protective proteins required for restoration of function. In models of cerebral ischemia, prolonged suppression of protein synthesis is therefore always associated with extensive cell death. Endoplasmic reticulum (ER) dysfunction has been identified as the mechanism underlying ischemia-induced suppression of protein synthesis. GADD34 is a protein that plays a pivotal role in the recovery of cells from shut-down of translation induced by ER stress. After transient ischemia, a rise in GADD34 protein levels has been found in resistant but not in vulnerable cells. Knowledge of the mechanisms activated in resistant cells to restore protein synthesis after severe stress will help open up new avenues for therapeutic strategies to combat various disorders of the brain associated with impairment of the translational machinery.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".