Electromyographic evidence in support of a knock‐in mouse model of DYT1 Dystonia
Bibliographic record
Abstract
INTRODUCTION: DYT1 dystonia is an autosomal-dominant movement disorder characterized by abnormal, often repetitive, movements and postures. Its hallmark feature is sustained or intermittent contractions of muscles involving co-contractions of antagonist muscle pairs. The symptoms are relieved with the anticholinergic drug trihexyphenidyl. The primary mutation is a trinucleotide deletion (ΔGAG) in DYT1/TOR1A, which codes for torsinA. Previous studies showed that (1) heterozygous Dyt1 ΔGAG knock-in mice, which have an analogous mutation in the endogenous gene, exhibit motor deficits and altered corticostriatal synaptic plasticity in the brain and (2) these deficits can be rescued by trihexyphenidyl. However, brain imaging studies suggest that the Dyt1 knock-in mouse models nonmanifesting mutation carriers of DYT1 dystonia. The aim of this work was to examine the hallmark features of DYT1 dystonia in the Dyt1 knock-in mice by analyzing muscular activities. METHODS: Wireless telemetry devices with biopotential channels were implanted to the bicep and the rectus femori muscles in Dyt1 knock-in mice, and muscular activities were recorded before and after trihexyphenidyl administration. RESULTS: (1) Consistent with DYT1 dystonia patients, Dyt1 knock-in mice showed sustained contractions and co-contractions of the antagonistic bicep femoris and rectus femoris. (2) The abnormal muscle contractions were normalized by trihexyphenidyl. CONCLUSION: The results suggest that the motor deficits in Dyt1 knock-in mice are likely produced by abnormal muscle contractions, and Dyt1 knock-in mice can potentially be used as a manifesting disease model to study pathophysiology and develop novel therapeutics. © 2016 International Parkinson and Movement Disorder Society.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".