Role of microRNAs in cardiac hypertrophy and heart failure
Bibliographic record
Abstract
MicroRNAs (miRNAs) are a class of endogenous, highly conserved, small noncoding RNAs that regulate gene expression post-transcriptionally. Recent studies have demonstrated that miRNAs are aberrantly expressed in the cardiovascular system. The implications of miRNAs in cardiovascular disease have recently been recognized, representing the most rapidly evolving research field. Gain- and loss-of-function studies in mice models have identified distinct roles for specific miRNAs during cardiac hypertrophy, heart failing, and myocardial infarction. In the present article, the currently relevant findings on the role of miRNAs in cardiac hypertrophy and heart failure will be summarized and the target genes and signaling pathways linking these miRNAs will be discussed. Furthermore, we focus on the use of miRNA mimics and antagonists (antagomirs) as tools for disease therapy in the cardiovascular system in the future. Taken together, the recent studies showed that miRNAs are key regulators of gene expression in cardiovascular biology and suggested the potential importance of miRNAs as diagnostic markers and therapeutic targets for cardiovascular disease.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".