Circ_BMP2K enhances the regulatory effects of miR-455-3p on its target gene <i>SUMO1</i> and thereby inhibits the activation of cardiac fibroblasts
Bibliographic record
Abstract
Research has shown that some circular RNAs (circRNA) are abnormally expressed in the process of myocardial fibrosis, but the mechanism behind this was unknown. In the process of inducing cardiac fibroblast (CF) activation with TGF-β1 or Ang II, the expression of circRNA circ_BMP2K and miR-455-3p were significantly inhibited, whereas the expression of SUMO1 was promoted. The results from our dual luciferase reporter gene assays, RIP assays, and pull-down assays show that miR-455-3p directly binds circ_BMP2K, thereby mutually promoting their expression levels. SUMO1 is a target gene of miR-455-3p, and circ_BMP2K enhances the inhibitory effects of miR-455-3p on the expression of SUMO1. Further study showed that both circ_BMP2K and miR-455-3p inhibited the expression of alpha-SMA as well as type I and type III collagen, whereas SUMO1 promoted their expression, and miR-455-3p inhibitors or overexpression of SUMO1 reversed the effects of circ_BMP2K and miR-455-3p. Circ_BMP2K and miR-455-3p inhibits cell proliferation and migration and promotes the apoptosis of CFs, but SUMO1 has the opposite effects; miR-455-3p inhibitors or overexpression of SUMO1 reverses the effects of circ_BMP2K and miR-455-3p. Thus, circ_BMP2K promotes the expression of miR-455-3p, down-regulates the expression of SUMO1, and finally, inhibits the activation, growth, and migration of CFs. These results could provide important therapeutic targets and a theoretical basis for regulating the process of myocardial fibrosis.
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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) | 0.000 | 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) | 0.000 | 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".