MiR-21 confers resistance against CVB3-induced myocarditis by inhibiting PDCD4-mediated apoptosis
Bibliographic record
Abstract
PURPOSE: The participation of microRNAs (miRNAs) in cardiovascular diseases suggests them as potential targets for novel preventive and therapeutic strategies. In this study, the key myocardial miRNA, miR-21, was identified in the murine coxsackievirus B3 (CVB3)-induced myocarditis model and its contribution to disease progression was explored. METHODS: Myocardial microRNA expression changes in CVB3-infected mice were analyzed by real-time PCR and miR-21 was found to be the miRNA whose expression was significantly reduced. Mice were injected with plasmid encoding miR-21 (pMDH-miR-21) at day 1 post CVB3 infection and myocarditis severity was evaluated 7 days post-infection. The underlying mechanism of miR-21 in viral myocarditis was also investigated. RESULTS: Myocardial miR-21 expression was negatively related to viral myocarditis severity. Recovery of miR-21 expression, by injecting with pMDH-miR-21, significantly relieved CVB3-induced myocarditis as shown by increased body weight, reduced myocardial injury, lowered myocarditis score and increased survival rate. Further study showed that miR-21 could protect myocardial apoptosis by specifically inhibiting its target programmed cell death 4 (PDCD4) expression. CONCLUSION: miR-21 administration efficiently alleviated CVB3-induced myocarditis by repressing PDCD4-mediated apoptosis. Our study not only helps to better understand the pathogenesis of viral myocarditis, but also proves the potential of miR-21 as a novel therapeutic target for treatment of CVB3-induced myocarditis and other apoptosis-mediated cardiovascular diseases.
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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) | 0.001 | 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".