Upregulation of circFOXP1 attenuates inflammation and apoptosis induced by ox-LDL in human umbilical vein endothelial cells by regulating the miR-185-5p/BCL-2 axis
Bibliographic record
Abstract
The pathogenesis of coronary artery disease (CAD) is closely related to an abnormal function of the coronary arteries due to myocardial ischemia, hypoxia, or necrosis, which poses a threat to human health. Therefore, this study was conducted to evaluate the role of circFOXP1 in controlling endothelial cell function during atherosclerosis (AS), and further investigate its potential molecular mechanism of regulation. Through Starbase database analysis, we predicted that circFOXP1 can sponge miR-185–5p that targets BCL-2. We found that interleukin (IL)-6, tumor necrois factor (TNF)-α, and IL-1β were significantly upregulated in high-fat diet (HFD)-induced apolipoprotein E-deficient (ApoE−/−) mice compared with those in the control mice. CircFOXP1 was also significantly upregulated in the AS-mice model and AS-cell model. Moreover, miR-185-5p overexpression was found to inhibit BCL-2 protein expression, which consequently reduced the proliferation, and increased the oxidized low-density lipoprotein (ox-LDL)-induced human umbilical vein endothelial cells (HUVECs) apoptotic rate. Taken together, our data show that circFOXP1 can further aggravate endothelial cell injury by regulating the miR-185-5p/BCL-2 signal axis.
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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".