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Tideglusib inhibition of GSK3 promotes the oxidative muscle phenotype and reduces serum creatine kinase in D2 <i>mdx</i> mice

2021· article· en· W3167318147 on OpenAlexafffund
Kennedy C. Whitley, Sophie I. Hamstra, Sebastian Silvera, Val A. Fajardo

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDuchenne muscular dystrophyMuscular dystrophyDystrophinCreatine kinasemdx mouseOxidative stressGSK-3Internal medicineOxidative phosphorylationEndocrinologyMuscle disorderMedicinePhenotypeMuscle weaknessGlycolysisBiologyBiochemistryKinaseMetabolism

Abstract

fetched live from OpenAlex

Introduction Duchenne muscular dystrophy (DMD) is an X‐linked disorder caused by an absence of dystrophin that compromises membrane integrity, ultimately resulting in muscle weakness, wasting, and premature death. The fast glycolytic muscle fibres are known to be most susceptible to dystrophic pathology, while slow oxidative fibres are less affected. Thus, promoting the slow oxidative phenotype has become a viable therapeutic strategy. Recent work from our lab has shown that inhibiting the enzyme glycogen synthase kinase 3 (GSK3) can promote the slow oxidative phenotype leading to enhancements in fatigue resistance. Furthermore, we have shown that inhibiting GSK3 augments muscle specific force production and myoblast fusion. Therefore, inhibiting GSK3 may aid in alleviating dystrophic pathology. Tideglusib is a potent GSK3 inhibitor currently undergoing clinical trials for myotonic dystrophy, another form of muscular dystrophy. Here, we tested whether treating the DMD preclinical mdx mouse with tideglusib would alter muscle oxidative phenotype, improve muscle function, and reduce serum creatine kinase (CK) levels, a marker of cellular damage. Methods Male DBA/2J wild type (WT) and mdx mice were ordered from Jackson Laboratories at 5‐6 weeks of age. Three groups were included in this study; 1) WT healthy control, 2) mdx tideglusib (10 mg/kg/day, via oral gavage), and 3) mdx vehicle (26% peg400, 15% Chremaphor EL and water). The mdx ‐tideglusib and vehicle mice underwent their respective treatments for 2 weeks with ad libitum access to food and water. Subsequently, all mice were subjected to a hangwire test to assess muscle function. Mice were then euthanized and their serum extracted for CK activity analyses using a commercially available kit that was fitted onto a 96‐well plate. Extensor digitorum longus (EDL) muscles were collected and homogenized for Western blotting to investigate phosphorylated (serine 9) and total GSK3b content along with myosin heavy chain (MHC) I and IIa levels. Results The hangwire test results showed that mdx mice treated with tideglusib were able to sustain hanging on the wire for a significantly longer period of time compared with the mdx vehicle group ( p = 0.03). Serum CK analyses revealed that while the mdx vehicle group had significantly higher levels of activity compared with WT ( p = 0.009), there was a 30% reduction in the mdx tideglusib mice that was no longer significantly different from WT. Western blotting revealed that though phosphorylated GSK3b levels were unaltered, tideglusib treatment led to a significant reduction in GSK3b content compared with vehicle ( p = 0.04). Additionally, there was a significant increase in the oxidative MHC isoforms (I and IIa, p = 0.02) in the mdx tideglusib group compared with vehicle. Conclusions Our results demonstrate the potential use of tideglusib for DMD. We show that tideglusib treatment inhibited GSK3 in mdx mice through a reduction in total GSK3 content. In turn, we also found a significant increase in oxidative MHC isoforms (I and IIa), which was associated with enhanced muscle performance and reduced muscle damage.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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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Citations1
Published2021
Admission routes2
Has abstractyes

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