Temporal Response and Localization of Integrins β1 and β3 in the Heart After Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: Integrins are involved in structural remodeling and tissue repair. This study aimed to elucidate the role of the beta-integrins in cardiac remodeling after myocardial infarction (MI). METHODS AND RESULTS: The MI model was created by ligation of the left anterior descending coronary artery in rats. We detected cardiac integrins beta1 and beta3 gene expression (quantitative in situ hybridization) and protein production (Western blot and immunohistochemistry) and potential regulation by tumor necrosis factor (TNF) using neonatal ventricular myocytes and TNF-/- knockout mice. Integrins beta1 and beta3 gene expression and protein production were low in sham-operated hearts. After MI, the beta1 and beta3 mRNA and proteins were significantly increased at the site of MI at day 3, reached a peak at day 7, and gradually declined thereafter. Integrin beta1A localized primarily in fibroblasts and inflammatory cells, beta1D localized in myocytes, and integrin beta3 was associated primarily with endothelial and smooth muscle cells in peri-infarct vessels. In cultured myocytes, there was isoform transition from the adult beta1D to the fetal beta1A on exposure to TNF-alpha. This was confirmed in vivo in the peri-infarct myocytes, but the transition was voided in TNF-/--knockout mice. CONCLUSIONS: Integrins beta1 and beta3 are significantly activated in the infarcted myocardium. Integrin beta1 is active particularly at sites of inflammation and fibrosis, whereas integrin beta3 localizes to vessels in the peri-infarct zone in a temporally coordinated manner. Integrin beta1D to beta1A isoform transition in myocytes is regulated by TNF-alpha.
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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".