Upregulated long noncoding RNA Snhg1 promotes the angiogenesis of brain microvascular endothelial cells after oxygen–glucose deprivation treatment by targeting miR-199a
Bibliographic record
Abstract
Angiogenesis after ischemic stroke has important clinical significance, which stimulates endogenous recovery mechanisms and improves the neurological outcome. Enhancing angiogenesis may facilitate the function recovery from ischemic stroke. Recent studies have shown that aberrant expression of long noncoding RNAs (lncRNAs) is related to angiogenesis after ischemic stroke. Snhg1, a cancer-related lncRNA, has been reported to be upregulated after stroke. However, little is known about its role in stroke. In this study, we performed in vitro experiments to investigate the effects of Snhg1 on cell survival and angiogenesis and molecular mechanism in ischemic stroke. Oxygen-glucose deprivation/reoxygenation (OGD/R) was used to mimic ischemia/reperfusion injury in vitro. Sngh1 was increased in brain microvascular endothelial cells (BMECs) with the prolongation of exposure to OGD, and promoted BMEC survival under OGD/R condition, and angiogenesis after OGD/R treatment. miR-199a was identified and validated to be a direct target of Snhg1, and function effects of Snhg1 on BMEC survival and angiogenesis depended on miR-199a, which is involved in the regulation of hypoxia inducible factor and vascular endothelial cell growth factor expression. These findings contribute to a better understanding of the pathogenesis of ischemic stroke and facilitate the development of proangiogenesis therapy for this disease.
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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".