ULK1 Knockout Exacerbates Ischemia-Induced Microglial Dysfunction via TRAF6/NF-κB Signaling Pathway
Bibliographic record
Abstract
Activated microglia rapidly migrate to the infarct site, mediate neuroinflammation, and phagocytose cell debris during the acute stage of ischemic stroke; however, the underlying mechanisms remain unclear. In this study, we utilized a cortical photothrombotic ischemic model and found that unc-51-like autophagy activating kinase 1 (ULK1) knockout mice exhibited increased pro-inflammatory microglia, along with upregulated levels of pro-inflammatory mediators. Further studies revealed that ULK1 deletion impaired the phagocytosis of myelin debris by microglia, thereby exacerbating myelin accumulation in the infarct zone and increasing pro-inflammatory phagocytic microglia. Moreover, coimmunoprecipitation results showed that ULK1 bound to tumor necrosis factor receptor-associated factor 6 (TRAF6) in primary microglia. Subsequently, we observed that the protein levels of ULK1 and phosphorylated nuclear factor κ-B (p-NF-κB) were regulated by the administration of the TRAF6 inhibitor C25-140 in ischemic wild-type (WT) mice. Overall, our study suggests that ULK1 regulates microglial activation and neuroinflammation via the TRAF6/NF-κB signaling pathway in 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".