Anomalies protéiques et lipidiques dans le cortex cérébelleux de patients atteints du tremblement essentiel
Bibliographic record
Abstract
Essential tremor (ET) is the most common, yet the least understood movement disorders.Indeed, despite its prevalence and the daily deleterious effects associated with ET motor symptoms, its pathophysiology remains poorly understood.Recent findings have led to the hypothesis that ET is a syndrome resulting from a neurodegenerative process of the cerebellum.Based on this hypothesis, we focused our study on common proteinopathies and lipid abnormalities in the cerebellar cortex.Postmortem human cerebellar tissues from D rs Ali and Alex Rajput were used in the analysis.Using Western-type immunoblotting we found increased cerebellar levels of TDP-43 C-terminal fragments (TDP-43 CTF) at approximately 35 kDa as well as phosphorylated α-synuclein at serine 129 in ET subjects compared to all non-ET subjects.In addition, TDP-43 CTF were positively associated with the severity of ET.Using chromatographic techniques, analyzes of the cerebellar lipid profiles also showed an increase of dihomo-𝛾-linoleic acid in PC as well as a decrease in total fatty acids (FA), saturated FA (including stearic acid), ω-3 (including docosahexaenoic acid (DHA)) and ω-6 (including arachidonic acid).Moreover, a positive correlation between age of death and DHA levels was present.Therefore, all of these proteomic results support the possible neurodegenerative process occurring in ET cerebellar cortex, while lipidomic results provide new pathological information in addition to proposing a new nutritional therapeutic avenue suggesting that a Mediterranean-type diet could prevent this movement disorder.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".