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Record W4200180335 · doi:10.1002/jcsm.12879

Cholesterol absorption blocker ezetimibe prevents muscle wasting in severe dysferlin‐deficient and <i>mdx</i> mice

2021· article· en· W4200180335 on OpenAlexafffund
Zoe White, Marine Théret, Nadia Milad, Lin Tung, William Wei‐Han Chen, Martin G. Sirois, Fábio Rossi, Pascal Bernatchez

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversité de MontréalUniversity of British ColumbiaMontreal Heart InstituteSt. Paul's HospitalUniversity of British Columbia Hospital
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsMedicineEzetimibeWastingDysferlinmdx mouseDuchenne muscular dystrophyMuscular dystrophyPharmacologyInternal medicineCholesterolDystrophin

Abstract

fetched live from OpenAlex

BACKGROUND: Muscular dystrophy (MD) causes muscle wasting and is often lethal in patients due to a lack of proven therapies. In contrast, mouse models of MD are notoriously mild. We have previously shown severe human-like muscle pathology in mdx [Duchenne MD (DMD)] and dysferlin-deficient limb-girdle MD type 2B (LGMD2B) mice by inactivating the gene encoding for apolipoprotein E (ApoE), a lipid transporter synthesized by the liver, brain and adipocytes to regulate lipid and fat metabolism. Having recently established that human DMD is a novel type of primary genetic dyslipidaemia with elevated cholesterol, we sought to determine whether cholesterol could exacerbate the muscle wasting process observed in severe rodent MD. METHODS: Severe mdx and dysferlin knock-out mice lacking ApoE were treated with ezetimibe (15 mg/kg/day), a clinically approved drug exhibiting few pleiotropic effects. In separate studies, dietary cholesterol was raised (from 0.2% to 2% cholesterol) in combination with experimental micro-injury and direct cholesterol injection assays. Muscles were assessed histologically for changes in collagen and adipocyte infiltration and both transcriptomic and cellular changes by RNA-seq and fluorescence-activated cell sorting analysis. RESULTS: Treatment of severe DMD and LGMD2B mice with ezetimibe completely prevented clinical signs of ambulatory dysfunction (0% incidence vs. 33% for vehicle treatment; P < 0.05). Histological analyses revealed that ezetimibe-reduced fibro-fatty infiltration up to 84% and 63% in severely affected triceps (P ≤ 0.0001) and gastrocnemius (P ≤ 0.003) muscles, resulting in a respective 1.9-fold and 2.2-fold retention of healthy myofibre area (P ≤ 0.0001). Additionally, raising dietary cholesterol and thus concentrations of plasma low-density lipoprotein-associated cholesterol (by 250%; P < 0.0001) reduced overall survivability (by 100%; P < 0.001) and worsened muscle damage in the LGMD2B triceps by 767% (P < 0.03). Micro-pin-induced mechanical injury in LGMD2B mice fed a high cholesterol diet exacerbated muscle damage by 425% (P < 0.03) and increased macrophage recruitment (by 98%; P = 0.03) compared with those injured on a chow diet. Parallel RNA-seq analyses revealed that injury in cholesterol-fed mice also modulated the expression of 3671 transcripts (1953 up-regulated), with fibrogenic, inflammatory and programmed cell death-associated pathways among the most enriched. Mice lacking dysferlin also displayed heightened muscle necrosis (by 123%; P < 0.0001) following a direct intramuscular injection of cholesterol compared with control mice. CONCLUSIONS: Cholesterol exacerbates rodent MD. Specific inhibition of cholesterol absorption with ezetimibe may safely attenuate human MD severity and delay death.

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 score0.008

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.237
Teacher spread0.229 · 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

Citations56
Published2021
Admission routes2
Has abstractyes

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