Prolonged loss of nuclear HMGB1 in neurons following modeled TBI and implications for long-term genetic health
Bibliographic record
Abstract
Under normal physiological conditions high mobility group box protein 1 (HMGB1) stabilizes chromatin, controls transcription, and contributes to DNA repair. Cellular stress or injury results in HMGB1 release from the nucleus acting as a proinflammatory cytokine. The objective of this study was to characterize the temporal progression of nuclear HMGB1 loss up to one week following modeled TBI in 250 g male rats and correlate these changes with the response of DNA damage proteins. HMGB1 was present in the cytoplasm and absent from the nucleus of neurons within 6 h of injury. Quantitative immunohistochemistry and Western blot analysis showed a significant decrease in nuclear HMGB1 expression at 6 and 24 h post-injury compared to controls. Approximately 20 % of neurons were lacking nuclear HMGB1 expression at 7 days post-injury. Cells which were negative for nuclear HMGB1 expression labelled positive for HIF1α, PARP, and γH2AX, indicators of oxidative stress and DNA damage. Nuclear HIF1α expression was detected at 6 h after injury. Nuclear expression of HIF1α, PARP, and γH2AX was observed at 7 days post-injury, suggesting activation of oxidative stress response mechanisms and DNA damage repair pathways. The temporal changes in HMGB1 translocation in conjunction with expression of DNA damage markers suggest a relationship between injury-induced HMGB1 loss in neurons and subsequent DNA damage. These results highlight a potential injury response mechanism with long-term implications in relation to genetic health of surviving neurons.
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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".