Plasma-derived protein and imaging biomarkers distinguish disease severity in oculopharyngeal muscular dystrophy
Bibliographic record
Abstract
Background: Oculopharyngeal muscular dystrophy (OPMD) is a rare, late-onset, slowly progressive neuromuscular disorder characterized by ptosis, dysphagia, and proximal limb weakness. Emerging clinical trials require rapidly accessible and sensitive biomarkers to evaluate OPMD disease progression and potential response to future treatments. Objective: This cross-sectional study was designed to identify candidate circulating protein and imaging biomarkers of OPMD severity for future use in clinical trials. Methods: Twenty-five individuals with OPMD (age 63.3 ± 10.5 years; GCN copy number of 13 in PABPN1 ) were assessed using the 7k SOMAScan assay to profile the plasma proteome, and MRI to quantify replacement of muscle by fat. OPMD severity was first categorized using the clinical presence/absence of limb weakness, and protein signals were considered distinguishing if they differed by more than 30% between subgroups and had statistically significant P -values after correcting for multiple comparisons. Distinguishing proteins were contrasted with age-matched controls ( n = 10). OPMD severity was also treated as a continuous variable using fat fraction of the soleus muscle, and proteins were considered distinguishing if the slope of relationship between protein signal and soleus fat fraction differed significantly from zero after correcting for multiple comparisons. Pathway analyses were conducted using Metascape and the Database for Annotation, Visualization, and Integrated Discovery webtools. Results: Eighteen plasma proteins distinguished OPMD on both indicators of severity. Pathway analyses identified skeletal muscle tissue, phagocytosis/engulfment, and extracellular matrix organization as enriched ontology clusters in OPMD with limb weakness. The most distinguishing plasma protein signals (ACTN2, MYOM2, CA3, APOBEC2, MYL3, and PDLIM3) were over 200% higher in OPMD with limb weakness than OPMD without limb weakness as well as controls, and correlated strongly with percent of fatty replacement of soleus ( r = 0.89 ± 0.04). Conclusions: The candidate biomarkers identified contribute to the ongoing search for sensitive and accessible biomarkers of OPMD progression, prognosis, and monitoring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".