MicroRNA-195 promotes palmitate-induced apoptosis in cardiomyocytes by down-regulating Sirt1
Bibliographic record
Abstract
AIMS: Free fatty acids induce apoptosis in cardiomyocytes, which is implicated in lipotoxic cardiomyopathy. However, the underlying mechanisms remain not fully understood. MicroRNAs (miRNAs) are non-coding small RNAs that control gene expression at the post-transcriptional level. Dysregulated miRNAs have been shown to be involved in heart diseases. This study was to examine whether miR-195 regulates palmitate-induced cardiomyocyte apoptosis by targeting Sirt1, a known anti-apoptotic protein. METHODS AND RESULTS: In cultured neonatal mouse cardiomyocytes, palmitate up-regulated miR-195 expression, increased reactive oxygen species (ROS) production, and induced apoptosis as determined by up-regulation of caspase-3 activity and DNA fragmentation. Inhibition of miR-195 decreased ROS production and apoptosis in palmitate-stimulated cardiomyocytes. In contrast, a miR-195 mimic enhanced palmitate-induced ROS production and apoptosis. The induction of miR-195 correlated with a reduction in Sirt1 and Bcl-2. We further showed that miR-195 targeted and inhibited Sirt1 expression through two target sites located in the 3' un-translational region of Sirt1 mRNA. In concordance, inhibition of miR-195 increased Sirt1 protein in cardiomyocytes whereas the miR-195 mimic reduced it. Activation of Sirt1 or overexpression of Bcl-2 inhibited palmitate-induced apoptosis. On the other hand, inhibition of Sirt1 enhanced apoptosis. The inhibitory effect of Sirt1 on apoptosis was associated with a reduction in ROS. CONCLUSIONS: This study demonstrates a pro-apoptotic role of miR-195 in cardiomyocytes and identifies Sirt1 as a direct target of miR-195. The effect of miR-195 on apoptosis is mediated through down-regulation of Sirt1 and Bcl-2 and ROS production. Thus, miR-195 may be a new therapeutic target for lipotoxic cardiomyopathy.
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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 | 0.001 |
| 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 | 0.001 |
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".