Bibliographic record
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease that is characterized by motor symptoms and dysregulation of the dopaminergic system.One of the main hallmarks of PD is abnormal alpha-synuclein (α-syn) aggregation that is the main component of Lewy bodies, the formation of which leads to oxidative stress, excitotoxicity and eventual cell death.In out experiment α-syn fibrils and A53T adenovirus will be added to SH-SY5Y cells to mimic PD conditions of protein aggregation and overexpression.In this thesis investigates the possibility of clearing αsyn fibrils from SH-SY5Y cells using an allosteric mGluR5 inhibitor, CTEP.We found that CTEP contributed to significant elimination of α-syn fibrils form SH-SY5Y cells.Assessment of AKT/mTOR pathway has shown that CTEP action is at least in part mTOR dependent.Additionally, we found a significant upregulation of autophagy system components, such as Beclin1, Atg5-Atg12 complex, Atg7, Atg101 and Atg3, and significant downregulation of inhibitory pULK1 in response to CTEP administration.We conclude that CTEP is a useful pharmacological agent that could be used against the abnormal α-syn aggregation.v Effect of CTEP on Autophagy Elongation ..........
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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) | 0.006 | 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".