Abstract 16417: Role of Long Non-Coding RNAs in the Regulation of the Notch Pathway: Implication for Calcific Aortic Valve Stenosis
Bibliographic record
Abstract
Introduction: Calcific aortic valve stenosis (CAVS) is the most common valvular heart disease. The disease process is largely driven by an abnormal mineralization of leaflets. The Notch pathway is involved in the osteogenic transition of valve interstitial cells (VICs) and palys an important role in CAVS. However, the molecular processes involved in the regulation of Notch signaling in CAVS remain to be determined Hypothesis: Long non-coding RNAs (Long ncRNAs) may be involved in the control of the Notch pathway Methods: We analyzed the gene expression pattern of valvular tissues (controls and CAVS) using microarrays. Furthermore, we explored the role of a Long ncRNA on the mineralization of VICs. Signaling of the Notch pathway was investigated by promoter luciferase activity and by analyzing mRNA levels of target genes Results: A transcriptomic study revealed that a Long ncRNA is overexpressed in CAVS. This result was confirmed by q-PCR in a larger group of aortic valve tissues (n=152). Silencing and over...
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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) | 0.003 | 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".