Collagenase treatment does not impair fiber contractile function in muscle biopsies from children with cerebral palsy
Bibliographic record
Abstract
Cerebral palsy (CP) often presents with increased passive stiffness of the skeletal muscles, primarily due to increased collagen in the extracellular matrix. Collagenase from Clostridium histolyticum (CCH), an enzyme that degrades collagen, is used clinically to treat fibrotic conditions such as Dupuytren's contracture and Peyronie's disease. Although prior work demonstrated reduced passive stiffness in muscle bundles from children with CP following CCH incubation, its effects on active contractile properties remain unknown. Thus, this study was aimed at investigating the maximal active force, calcium sensitivity, and myofibrillar protein content (myosin and actin) after CCH incubation. Nine muscle biopsies from children with CP were used for skinned fiber mechanical testing at an average sarcomere length of 2.4 μm, and for myosin and actin analysis using 12% SDS-PAGE. Maximal active stress (control 59.8 ± 24.2 kPa; CCH 63.2 ± 24.5 kPa; p = 0.51) and pCa₅₀ (control 6.04 ± 0.10; CCH 5.99 ± 0.18; p = 0.43) did not significantly differ. Similarly, the normalized myosin (control 1.000 ± 0.167, CCH 1.004 ± 0.178; p = 0.93) and actin (control 1.000 ± 0.336, CCH 1.107 ± 0.330; p = 0.231) content did not differ between conditions. These results suggest that collagenase does not impair the contractile function in muscle fibers from children with CP and thus might be a feasible treatment to reduce stiffness due to muscle fibrosis. Research into whole-muscle force transmission following collagenase treatment is needed to evaluate its clinical viability.
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 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) | 0.001 | 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) | 0.001 | 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".