ANO5-related muscle diseases: From clinics and genetics to pathology and research strategies
Bibliographic record
Abstract
Anoctamin-5 (ANO5) is a multi-pass membrane protein localized to the sarcolemma and the sarcoplasmic reticulum. Mutations were linked to rare autosomal recessive muscle diseases. Here, we summarize the clinical spectrum, imaging data and molecular research findings as well as results of animal modeling, which significantly moved forward the understanding of mechanisms underlying ANO5-related muscle diseases. Given that precise histological information on inflammatory processes taking place in patient-derived muscle are still lacking, an (immuno)histological study on biopsies derived from six ANO5-patients was performed showing focal accumulation of necrotic fibers, mild fiber-size variances and myophagocytosis. In addition, MRI data of four ANO5-patients (including a 10-year follow-up in one patient) are presented and discussed in the context of previously published MRI-findings. Hence, data presented in this article combining a review of the literature with own myopathological findings address scientific trends and open questions on ANO5-related muscle diseases, which would be of significant interest for a wide neuromuscular diseases community. To conclude, a clear genotype–phenotype correlation does not exist, and ANO5-related muscle disorders might represent the next entity of a clinical continuum with varying degree of muscle cell pathologies. In addition, results of pre-clinical studies allowed the definition of suitable cell and animal models characterized by certain histological and functional pathologies resembling the human phenotype. These models might serve as suitable systems for testing of interventional concepts in future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".