Resveratrol alleviates MPTP‐induced motor impairments and pathological changes by autophagic degradation of α‐synuclein via SIRT1‐deacetylated LC3
Why this work is in the frame
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Bibliographic record
Abstract
SCOPE: The accumulation of misfolded α-synuclein in dopaminergic neurons is the leading cause of Parkinson's disease (PD). Resveratrol (RV), a polyphenolic compound derived from grapes and red wine, exerts a wide range of beneficial effects via activation of sirtuin 1 (SIRT1) and induction of vitagenes. Here, we assessed the role of RV in a 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine (MPTP) induced mouse model of PD and explored its potential mechanisms. METHODS AND RESULTS: RV and EX527, a specific inhibitor of SIRT1, were administered before and after MPTP treatment. RV protected against MPTP-induced loss of dopaminergic neurons, and decreases in tyrosine hydroxylase and dopamine levels, as well as behavioral impairments. Meanwhile, RV administration activated SIRT1. Microtubule-associated protein 1 light chain 3 (LC3) was then deacetylated and redistributed from the nucleus to the cytoplasm, which provoked the autophagic degradation of α-synuclein in dopaminergic neurons. Furthermore, EX527 antagonized the neuroprotective effects of RV by reducing LC3 deacetylation and subsequent autophagic degradation of α-synuclein. CONCLUSION: We showed that RV ameliorated both motor deficits and pathological changes in MPTP-treated mice via activation of SIRT1 and subsequent LC3 deacetylation-mediated autophagic degradation of α-synuclein. Our observations suggest that RV may be a potential prophylactic and/or therapeutic agent for PD.
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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 | 0.001 | 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) | 0.000 | 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 it