Loss of miR-144 signaling interrupts extracellular matrix remodeling after myocardial infarction leading to worsened cardiac function
Bibliographic record
Abstract
We have previously shown that MicroRNA (miR) -144 is a key modulator of the acute cardioprotection associated with remote ischemic preconditioning and post myocardial infarction (MI) remodeling. In this study we examine the biology of the remodeling response after permanent ligation of the left anterior descending coronary artery in male miR-144 KO mice, and wild-type littermates (WT). Collagen content and cross linking were determined by hydroxyproline and pyridinoline assays, MI size and scar thickness were measured post PicoSirius Red staining, and cardiac function was evaluated by echocardiography. miR-144 KO mice developed normally with normal cardiac function, however after MI, infarction size was greater and scar thickness was reduced in miR-144 KO mice compared with WT littermates. miR-144 KO mice had a lower incidence of acute cardiac rupture compared with WT littermates early after MI but there was impaired late remodeling, reflected by increased total cardiac collagen content and collagen cross-linkage associated with changes in Zeb1/LOX1 axis, and decreased left ventricular ejection fraction. We conclude that miR-144 is involved in extracellular matrix remodeling post MI and its loss leads to increased myocardial fibrosis and impaired functional recovery.
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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) | 0.002 | 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".