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Record W1519824104

Passive skeletal muscle mechanics and structure changes following botox injections

2013· article· en· W1519824104 on OpenAlexaffvenue
Vivian Arian Wang

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2013
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSkeletal musclePassive stretchingMuscle stiffnessMedicineSpasticityMyosinMuscle contractionNeuromuscular junctionConnective tissueAnatomyAnesthesiaChemistrySurgeryStiffnessNeurosciencePathologyBiology
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Spasticity is a symptom often found in neuromuscular diseases such as Cerebral Palsy (CP). It is characterised by involuntary muscular contractions caused by lesions in the brain developed at or just after birth. This symptom over time may lead to or cause increased passive stiffness and hypoextensibility [1]. A current treatment to provide temporary relief from spasticity is the application of botulinum toxin type-A (BTXA) injections. BTXA is a neurotoxin that prevents the release of acetylcholine at neuromuscular junctions, therefore relaxing the muscle [2]. Recent literature suggests that BTXA decreases passive stiffness by changing skeletal muscle structural components. These include changes to connective tissue such as collagen structure, contractile proteins such as myosin, as well as structural proteins such as titin [2]. Unfortunately, there is limited information regarding these changes to skeletal muscle structural components caused by BTXA despite being used clinically [2]. There is also no known literature of the effects of BTXA on skeletal muscle structure in the short term. Therefore, the purpose of this experiment was to obtain a deeper understanding of the effects of BTXA injections on skeletal muscle properties first in passive mechanic changes and secondly through structural changes during an acute 5 day protocol. METHODS New Zealand white rabbits (n=4) were instrumented where one hind limb acted as the experimental leg and the contralateral leg acted as the control. A pre- and post-test for passive force was performed using a minimally traumatic pin and motor system, once before a BTXA injection (3.5u/kg) and once 5 days after injection. Each test consisted of 5 trials, each with 3 movements (25°/sec). The BTXA was divided into 4 doses and injected intramuscularly into 4 quadrants of the lower limb plantar flexors (proximal medial, proximal lateral, distal medial and distal lateral) of the experimental limb. When the post-test was completed the rabbits were euthanized and the hind limbs extracted for future tissue work. RESULTS Two rabbits showed a trend decreasing passive force after botox, like the example shown in figure 1. The other two rabbits showed a trend of increasing passive force. However, there was no statistical difference in passive forces when all four were considered. DISCUSSION AND CONCLUSIONS Our results show that BTXA does not change passive force, if these results are accurate, than despite being an effective tool in preventing spasticity, BTXA would need to be supplemented with other treatments to improve on stiffness and hypoextensibility in CP patients. However previous literature suggests that passive force decreases with the injection of BTXA, therefore possibilities why this did not occur may be due to: the amount of BTXA injected, the number of rabbits, and the sensitivity of our equipment. In the future we will continue to test changes in passive force using two additional rabbits to increase the sample size, as well as use the extracted tissue from each rabbit to run titin isoform tests, collagen content tests, and sarcomere count tests to observe if BTXA caused changes in the skeletal muscle structure itself. REFERENCES Friden J. & Lieber R.L. Muscle Nerve. 27 (2):157-164, 2003. Thacker B.E., et al. J Orthop Res. 30 (3):497-502, 2011.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.034
GPT teacher head0.328
Teacher spread0.294 · 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 designObservational
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".

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Published2013
Admission routes2
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