HACE1 reduces oxidative stress and mutant Huntingtin toxicity by promoting the NRF2 response
Bibliographic record
Abstract
Oxidative stress plays a key role in late onset diseases including cancer and neurodegenerative diseases such as Huntington disease. Therefore, uncovering regulators of the antioxidant stress responses is important for understanding the course of these diseases. Indeed, the nuclear factor erythroid 2-related factor 2 (NRF2), a master regulator of the cellular antioxidative stress response, is deregulated in both cancer and neurodegeneration. Similar to NRF2, the tumor suppressor Homologous to the E6-AP Carboxyl Terminus (HECT) domain and Ankyrin repeat containing E3 ubiquitin-protein ligase 1 (HACE1) plays a protective role against stress-induced tumorigenesis in mice, but its roles in the antioxidative stress response or its involvement in neurodegeneration have not been investigated. To this end we examined Hace1 WT and KO mice and found that Hace1 KO animals exhibited increased oxidative stress in brain and that the antioxidative stress response was impaired. Moreover, HACE1 was found to be essential for optimal NRF2 activation in cells challenged with oxidative stress, as HACE1 depletion resulted in reduced NRF2 activity, stability, and protein synthesis, leading to lower tolerance against oxidative stress triggers. Strikingly, we found a reduction of HACE1 levels in the striatum of Huntington disease patients, implicating HACE1 in the pathology of Huntington disease. Moreover, ectopic expression of HACE1 in striatal neuronal progenitor cells provided protection against mutant Huntingtin-induced redox imbalance and hypersensitivity to oxidative stress, by augmenting NRF2 functions. These findings reveal that the tumor suppressor HACE1 plays a role in the NRF2 antioxidative stress response pathway and in neurodegeneration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".