Interleukin-6 Mediates Post-Infarct Repair by Cardiac Explant-Derived Stem Cells
Bibliographic record
Abstract
Although patient-sourced cardiac explant-derived stem cells (EDCs) provide an exogenous source of new cardiomyocytes post-myocardial infarction, poor long-term engraftment indicates that the benefits seen in clinical trials are likely paracrine-mediated. Of the numerous cytokines produced by EDCs, interleukin-6 (IL-6) is the most abundant; however, its role in cardiac repair is uncertain. In this study, a custom short-hairpin oligonucleotide lentivirus was used to knockdown IL-6 in human EDCs, revealing an unexpected pro-healing role for the cytokine. METHODS: EDCs were cultured from atrial appendages donated by patients undergoing clinically indicated cardiac surgery. The effects of lentiviral mediated knockdown of IL-6 was evaluated using in vitro and in vivo models of myocardial ischemia. RESULTS: Silencing IL-6 in EDCs abrogated much of the benefits conferred by cell transplantation and revealed that IL-6 prompts cardiac fibroblasts and macrophages to reduce myocardial scarring while increasing the generation of new cardiomyocytes and recruitment of blood stem cells. CONCLUSIONS: This study suggests that IL-6 plays a pivotal role in EDC-mediated cardiac repair and may provide a means of increasing cell-mediated repair of ischemic myocardium.
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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 | 0.001 |
| 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".