Epicardial extracellular vesicles modulate gene expression following ischemia-reperfusion injury in heart-on-a-chip
Bibliographic record
Abstract
The epicardium is an essential regulator of cardiac development, homeostasis, and injury, yet the composition and impacts of epicardial cell-secreted extracellular vesicles (EVs) remain incompletely understood. Here, we harness an epicardial Biowire platform integrating human stem cell derived epicardial cells with functional myocardium and apply transcriptomics to reveal enriched EV transport in tissues containing epicardial cells. Profiling epicardial-EVs identified key miRNAs and their conservation through stimulated epithelial-to-mesenchymal transition. Supplementation of epicardial-EVs to tissues undergoing ischemia-reperfusion injury influenced gene expression associated with reduction of extracellular matrix remodeling, fibroblast activation, and suppression of cell-ECM interactions. Correlation of EV-miRNAs with mRNA targets highlighted the role of miR-30d-5p, miR-9-5p, miR-16-5p, and the let-7 family in moderating deleterious fibrotic activation and matrix remodeling during myocardial injury in vitro.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".