The role of autophagy protein Atg5 in multiple sclerosis
Bibliographic record
Abstract
Multiple sclerosis (MS) is a neurological disease which has a strong autoimmune component to its pathology. Although there are currently many approved immunomodulatory treatments that reduce the rate of relapse and slow down the progression of the disease, the cure is still elusive. This may be due to the underlying etiology still being unknown. Autophagy is the potential link between neurodegeneration and autoimmunity. Specifically, this review will focus on the autophagy protein Atg5 and examine the in vitro cell culture, animal and human studies that have examined its expression and effects in the context of MS. The findings of these investigations are summarized, and a model is proposed in which elevated Atg5 levels leads to dysfunctional autophagy, neurodegeneration, inflammation, and eventually clinical disability. While there are currently no drugs that specifically target Atg5, our review recommends that further investigations into the role that Atg5 plays in MS pathophysiology may eventually lead to the development of autophagy-specific treatments of MS.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".