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Record W2029937126 · doi:10.1159/000112818

Influence of Reduced Neuromuscular Activity on the Development of Neonatal Rat Hindlimb Muscle

2007· article· en· W2029937126 on OpenAlexfundno aff
Phillip F. Gardiner

Bibliographic record

VenueDevelopmental Neuroscience · 2007
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMuscular Dystrophy Association
KeywordsHindlimbMyofibrilSuccinic dehydrogenasePhosphofructokinaseEndocrinologyInternal medicineAnatomyBiologyChemistryGlycolysisEnzymeBiochemistryMedicineMetabolism

Abstract

fetched live from OpenAlex

Normal ankle flexion and extension was inhibited in neonatal rats by applying an adhesive cast on the day of birth such that the tibialis anterior (TA) muscle of one hindlimb was immobilized in a shortened position. Casts were changed daily for 3 weeks, at which time animals were sacrificed. Immobilized TA muscles were significantly lighter in weight, and whole muscle and teased fiber fascicular lengths were significantly shorter. No effects were seen on fiber diameter profiles, total muscle fiber number or muscle cross-sectional area. Immobilized TA muscles had significantly lower phosphofructokinase activities, and lower slow-twitch fibers than contralateral muscles. The mitochondrial enzyme succinic dehydrogenase was unaffected by the reduced activity. It is apparent that, in a developing fast-twitch muscle such as the TA, myofibrillar ATPase histochemical patterns and glycolytic enzyme activity (phosphofructokinase) may be regulated by factors dependent upon neuromuscular activity. Mitochondrial enzymes, such as succinic dehydrogenase, seem to be regulated during development by factors which are not as sensitive to activity.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.025
GPT teacher head0.270
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2007
Admission routes1
Has abstractyes

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