MétaCan
Menu
Back to cohort
Record W1937410971 · doi:10.1002/mus.23990

α1‐Syntrophin–deficient mice exhibit impaired muscle force recovery after osmotic shock

2013· article· en· W1937410971 on OpenAlexaff
Toshifumi Yokota, Yuko Miyagoe‐Suzuki, Takaaki Ikemoto, Ryoichi Matsuda, Shin’ichi Takeda

Bibliographic record

VenueMuscle & Nerve · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSarcolemmaDystrophinOsmotic shockChemistryMuscular dystrophyInternal medicineEndocrinologySkeletal muscleBiologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

INTRODUCTION: α1-syntrophin, a member of the dystrophin complex, recruits membrane molecules, including aquaporin-4, at the sarcolemma. The physiological functions of α1-syntrophin are poorly understood. METHODS: We examined the physiological characteristics of α1-syntrophin-deficient muscles under osmotic stress conditions to test the possibility that mutant muscles are less tolerant of osmotic shock. RESULTS: Isolated muscle bundles from mutant mice showed markedly reduced force production after hypo-osmotic shock. In addition, the mutant muscle bundles showed delayed recovery of specific gravity after being exposed to hypo-osmotic conditions. Two consecutive exercise tests on the treadmill revealed their performance in the second test was significantly lower than for wild-type mice. Furthermore, mutant mice had higher serum lactate concentrations after treadmill exercise. CONCLUSIONS: Although the lack of α1-syntrophin from the sarcolemma does not lead to muscle degeneration, our results suggest that it may be partly involved in the pathophysiology of dystrophin-deficient Duchenne muscular dystrophy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.201
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueMuscle & NerveSame topicMuscle Physiology and DisordersFrench-language works237,207