Angptl2 gene knockdown is critical for abolishing angiotensin II-induced vascular smooth muscle cell proliferation and migration
Bibliographic record
Abstract
Angiopoietin-like 2 (Angptl2) is reported to be correlated with cardiovascular diseases, but its role in hypertension remains unclear. This study aimed to investigate the role and potential mechanism of Angptl2 in hypertension. Wistar-Kyoto (WKY) rats and spontaneously hypertensive rats (SHRs) were used to detect the expression of Angptl2. Angiotensin II (Ang II) stimulates vascular smooth muscle cells (VSMCs) to mimic hypertension in vitro. Cell proliferation, migration, and invasion abilities were determined using CCK-8, cell colony formation, wound healing, and transwell assays, respectively. The cell cycle distribution was detected by flow cytometry. The expression of Ki67 was determined by immunofluorescence, and protein expression was measured using western blotting. Angptl2 was found to be elevated in hypertensive rats in vivo and in VSMCs upon Ang II stimulation in vitro. Angptl2 knockdown suppressed cell proliferation, colony formation, cell migration, and invasion as well as the downregulation of Ki67. Additionally, Angptl2 knockdown hindered cell cycle progression and downregulated protein expression of CDK2/4 and cyclin D1, but upregulated p21 expression. Furthermore, Angptl2 knockdown inhibited activation of the NLRP3 inflammasome. Our findings suggest that Angptl2 knockdown suppresses VSMC proliferation, migration, and invasion induced by Ang II. Angptl2 may be a new target for vascular remodeling in hypertension.
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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 | 0.000 |
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".