Abstract 306: Loss of a Disintegrin and Metalloproteinase-15 Impairs Fibroblast Activation Following Myocardial Infarction Resulting in Ventricular Rupture
Bibliographic record
Abstract
Background: Myocardial infarction (MI) occurs when blood flow to a region of the myocardium is interrupted. Over time, the damaged myocardium is replaced with scar tissue through activation of an inflammatory phase, followed by a reparative and a maturation phase. A disintegrin and metalloproteinase-15 (ADAM15) is a membrane-bound enzyme that is expressed in inflammatory cells and the heart, and its expression in the heart is increased following myocardial infarction. However, its function in heart disease has not yet been explored. We hypothesized that ADAM15 deficiency will impede the inflammatory response post-MI, which could reduce inflammation but also hinder scar formation causing adverse remodeling of the surviving myocardium. Methods: MI was induced in adult male wildtype (WT) and ADAM15-deficient ( Adam15 -/- ) mice by permanent ligation of the left anterior descending artery. LV structure, systolic and diastolic functions were assessed by echocardiography. Hearts were excised at 3-days or 1 week post-MI, processed for histological and molecular analyses. Fibrillar collagen organization was assessed by Second Harmonic Generation. Cardiac fibroblasts (cFBs) were isolated from WT or Adam15 -/- hearts, and subjected to ischemia (hypoxia + nutrient deletion) in vitro . Results: Adam15 -/- mice exhibited significantly compromised survival post-MI, mainly due to LV rupture. Cardiac contractility was reduced in Adam15 -/- compared to WT-MI mice. Collagen fibers in the scar tissue were distorted and scarce in Adam15 -/- MI hearts, associated with reduced levels of a major cross-linking enzyme, lysyl oxidase. In vitro, Adam15 -/- cFBs showed impaired myofibroblast transformation under ischemic conditions, suggesting attenuated fibroblast activation. Conclusion: Adam15 -deficiency impairs the wound healing process post-MI, leading to deleterious remodelling and LV rupture.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".