Lessons learned from a muscle study in nail-patella syndrome
Bibliographic record
Abstract
Abstract Background Nail-patella (NPS) syndrome is an autosomal dominant disorder caused by mutations in the LMX1B gene and manifests with involvement of kidneys, nails, eyes as well as skeletal musculature. NPS shows some clinical similarities with Emery-Dreifuss muscular dystrophy. However, thus far human muscle tissue has not been analysed in the context of NPS to precisely clarify the muscular involvement in this multi-systemic disease. Methods To study the effects of a missense variant in LMX1B on human skeletal muscle, histological, immunofluorescence and ultra-structural studies were performed on a deltoid muscle biopsy performed at the age of 2 aiming to analyse potential pathologies in muscle fibres in addition to unbiased proteomic profiling to identify dysregulated proteins. Results Microscopic work-up of the muscle biopsy revealed no striking pathologies, except for some atrophic fibres. The proteomic analyses unveiled a clustered number of dysregulated keratin proteins among the downregulated proteins. Conclusion Although NPS can also present with a muscular phenotype indicated by muscular weakness of the upper extremities, elevated CK levels and contractures of the elbow joint, there is no evidence of primary muscular involvement due to expression of mutant LMX1B. The examination of human skeletal muscle tissue confirmed the findings from the animal models showing that the skeletal muscle symptoms of NPS may be the result of a developmental disorder of the extremities that leads to impaired muscle mobilisation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.132 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".