Endothelial Cells Regulate Cardiac Myocyte Reorganisation Through β1-Integrin Signalling
Bibliographic record
Abstract
BACKGROUND: In normal hearts, capillaries are densely distributed throughout the myocardial tissue, and the cross-talk between myocytes and capillary endothelial cells plays a pivotal role in regulating cardiac development, maturation and function. Although previous studies have suggested a role for the endothelium in the organisation of nearby cardiomyocytes, the underlying mechanism has yet to be illustrated. METHODS AND RESULTS: Using a transwell coculture system, we studied the paracrine effect of endothelial cells on cardiomyocytes and found that the regulation of cardiomyocyte spatial reorganisation and cytoskeletal dynamics by endothelial cells was coupled with β1-integrin induction. To determine the role of β1-integrin in this process, we preincubated myocytes with a β1-integrin function-blocking antibody before coculture. β1-integrin blockage abolished myocyte chemotactic activity and inhibited microtubule extension and stress fibre assembly. We further evaluated the therapeutic potential of combined endothelial cell-cardiac myocyte transplantation against ischemic cardiomyopathy in an acute myocardial infarction (AMI) mouse model. The results showed that myocytes and endothelial cells synergistically promoted ischemic myocardial repair, as evidenced by the robust engraftment and migration of implanted cells within the infarcted area, as well as the stimulation of angiogenesis, the attenuation of scar tissue and the improvement of cardiac function. CONCLUSION: Our study demonstrated the necessity of β1-integrin in the interactions between cardiomyocytes and endothelial cells and presented a novel combined transplantation approach that might hold promise for treating ischemic cardiomyopathy.
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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".