Exacerbated Cardiac Fibrosis in Apelin-deficient Mice post Myocardial Infarction is Associated with Vimentin and MicroRNA-378
Bibliographic record
Abstract
The Apelin-APJ system is transiently up-regulated in murine models of cardiac dysfunction. We have previously shown that Apelin-deficient mice subjected to aortic constriction suffer from severe fibrosis. In turn, we hypothesized that Apelin deficiency will also exaggerate the fibrosis phenotype post experimental myocardial infarction, associated with changes in fibroblast cell activity. Apelin-deficient and wildtype mice were randomly subjected to sham operation or left coronary artery ligation. Apelin deficiency worsened cardiac functionality, enhanced fibrosis-related gene expression and morphology, and enhanced vimentin intermediate filament expression, which may be involved in increasing fibroblast proliferation. MicroRNA target prediction softwares predict that apelin and vimentin 3 ’UTRs are potential targets of microRNA-378 regulation, and were confirmed with Luciferase reporter assays and western blot. Apelin up-regulation may be a useful strategy for attenuating unfavorable fibrosis through down-regulating vimentin-mediated adverse fibroblast activity. MicroRNA-378 regulation may be partly responsible for changes in apelin and vimentin expression.
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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 | 0.001 | 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".