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Record W4413138679 · doi:10.1002/jcsm.70042

High‐Density Lipoprotein‐Associated Cholesterol Abnormalities in a Clinical Outcomes Study of Dysferlin‐Deficient Limb–Girdle Muscular Dystrophy Type R2

2025· article· en· W4413138679 on OpenAlexaff
Zoe White, Laura Rufibach, Heather Gordish Dressman, H. Hilsden, Dan Cox, Simone Spuler, Kristi Jones, Diana Bharucha‐Goebel, Emmanuelle Salort-Campana, Alan Pestronk, Maggie C. Walter, Carmen Paradas, Tanya Stojkovic, Madoka Mori‐Yoshimura, Elena Bravver, Jordi Díaz‐Manera, Elena Pegoraro, Jerry R. Mendell, Volker Straub, Pascal Bernatchez

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of British ColumbiaSt. Paul's HospitalUniversity of British Columbia Hospital
FundersJain Foundation
KeywordsMedicineInternal medicineDysferlinEndocrinologyCholesterolCreatine kinaseMuscular dystrophy

Abstract

fetched live from OpenAlex

BACKGROUND: Limb-girdle muscular dystrophy (MD) type R2 (LGMDR2, formerly LGMD2B) is an autosomal recessive form of MD caused by variants in the dysferlin gene, DYSF. It leads to slow proximal and distal muscle weakening that generally results in loss of ambulation around early adulthood but without the lethal cardiorespiratory dysfunction observed in the more severe Duchenne MD. How loss of dysferlin causes muscle fibre death is poorly understood, but recent evidence suggests a link between muscle wasting and loss of muscle cholesterol homeostasis with circulating lipoprotein abnormalities in many forms of MD. METHODS: Cross-sectional circulating total cholesterol (CHOL), high-density lipoprotein-associated cholesterol (HDL-C), non-HDL-C, creatine kinase (CK), transaminase levels and bilirubin were collected as part of the Jain Clinical Outcomes Study of Dysferlinopathy, a large multicentre LGMDR2 patient cohort (N = 188), along with ambulatory function values. RESULTS: We report that 43%, 49% and 50% of male patients were found to have abnormal circulating CHOL, HDL-C and non-HDL-C levels, respectively, whereas in female patients 39%, 37% and 30% of values were in the abnormal range. Overall, 68% of the total cohort had at least one abnormal cholesterol value (78% of males and 60% of females) and 89% of male CHOL/HDL-C ratios were in the suboptimal range (above 3.5). Although most patients were ambulant, the severity of circulating lipid abnormalities did not correlate with early loss of ambulation. Transaminase levels were lower in late-stage LGMDR2 samples, whereas bilirubin remained unchanged, suggesting a low muscular mass rather than hepatic origin and the absence of major liver damage. CONCLUSIONS: Data from the largest natural history cohort of LGMDR2 patients support the concept that dyslipidemia is a comorbidity of LGMDR2, and the causal role of cholesterol abnormalities in muscle death should be further investigated.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.294
Teacher spread0.283 · 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 teacher head, 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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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