Contractility of cardiac and skeletal muscle tissue increases with environmental stiffness
Bibliographic record
Abstract
Abstract The mechanical interplay between contractility and mechanosensing in striated muscles is of fundamental importance for tissue morphogenesis, load adaptation, and disease progression, but remains poorly understood. In this study, we investigate the dependence of contractile force generation of cardiac and skeletal muscle on environmental stiffness. Using in vitro engineered muscle micro-tissues that are attached to flexible elastic pillars, we vary the stiffness of the microenvironment over three orders of magnitude and study its effect on contractility. We find that the active contractile force upon electrical stimulation of both cardiac and skeletal micro-tissues increases with environmental stiffness according to a strong power-law relationship. To explore the role of adhesion-mediated mechanotransduction processes, we deplete the focal adhesion protein β-parvin in skeletal micro-tissues. This reduces the absolute contractile force but leaves the mechanoresponsiveness unaffected. Our findings highlight the influence of external stiffness on the adaptive behavior of muscle tissue and shed light on the complex mechanoadaptation processes in striated muscle.
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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 | 0.000 | 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) | 0.001 | 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 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".