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Delayed Reinnervation During Muscle Regeneration After NO‐Donor Pre‐Treatment

2017· article· en· W4389023377 on OpenAlexaffabout
Nasibeh Daneshvar, Judy E. Anderson

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReinnervationMyogenesisRegeneration (biology)Crush injuryCardiotoxinNeuromuscular junctionMedicineSEMA3AAnatomyMyocyteCell biologySkeletal muscleNeuroscienceBiologyInternal medicineSemaphorinSurgeryReceptor

Abstract

fetched live from OpenAlex

Activation of satellite cells (SCs) toward myogenesis leads to structural regeneration of damaged myofibers and reinnervation is essential to muscle function. SC activation is mediated by NO (a signaling and neurotransmitter molecule) and manipulation of the NO signal is shown to enhance muscle repair and promote growth in older mice in combination with exercise. SCs up‐regulate mRNA expression of a neural chemorepellent, semaphorin 3A (Sema3A) that peaks 6–8 days after muscle injury. Since Sema3A expression is implicated in regulating the timing of axon growth toward regenerating fibers, we hypothesized that premature activation of SC before an injury would advance Sema3A synthesis and disrupt the process of reinnervation. The time‐ course of reinnervation in regenerating tibialis anterior muscle (TA) of 6–10‐week‐old C57BL6 mice was examined after injury by crush (a large traumatic injury) or injection of cardiotoxin (CTX, which damages only fibers). We tested whether early activation of SC before injury using a 2‐day daily pre‐treatment with isosorbide dinitrate (ISDN, an NO‐donor drug) affects the process of new‐fiber innervation post‐injury. Muscle was collected 0, 4, 6, 8, 10, and 14 days after unilateral TA injury (n=4–5 per time point in crush, CTX, and respective control groups). The position of the nuclei and the length of the newly‐formed myotubes were used to track muscle regeneration on coded slides. CTX‐injured muscles had noticeably more advanced formation of neuromuscular junctions (NMJs) and faster fiber regeneration compared to crush‐ injured muscles at the same time point post‐injury. Combined staining of NMJs for acetylcholinesterase (AchE, silver staining) and acetylcholine receptors (AchRs, α‐bungarotoxin epifluorescence) on coded slides, revealed immature or mature NMJs (positive for AchE and AchRs) by day 14 in untreated crush‐ or CTX‐injured muscles, respectively. ISDN pre‐treatment in both crush‐ and CTX‐injured muscles delayed NMJ development on myotubes up to day 14 post‐injury. Results are consistent with the action of Sema3A as a neural chemorepellent, since SC activation before injury resulted in delayed myotube reinnervation. Therapeutic manipulation of Sema3A during regeneration, in time and/or concentration, may have potential to improve reinnervation and muscle function in conditions where nerve‐muscle interactions are disrupted by injury or disease. Support or Funding Information Supported by a NSERC Discovery grant (to JEA) and a University of Manitoba Graduate Fellowship (to ND)

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)0.0010.000
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)0.0020.000

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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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