Mobilization and homing of bone marrow stromal cells in myocardial infarction
Bibliographic record
Abstract
OBJECTIVE: Marrow stromal cells (MSCs) contain multipotent cells, which may participate in the repair of damaged organs. We tested the hypothesis that MSCs are recruited to the heart upon myocardial infarction (MI), and play pathophysiological roles in the healing and adaptation process. METHODS: Donor MSCs from isogenic Lewis rats were harvested, multiplied and labeled with Lac Z reporter gene. Ten million labeled cells were injected intravenously into the recipient rats (n=30). One week later, 10 rats were killed to examine the distribution of the labeled MSCs. Other rats underwent either coronary artery ligations (n=14) or sham operations (n=6). The hearts were removed at various time points (1-8 weeks) and stained for beta-galactosidase activity. Phenotypes of labeled cells were identified with immunohistochemical stains. RESULTS: In rats killed at 1 week, labeled cells had homed into the bone marrow of the recipients, and none found in their hearts. In the coronary ligated hearts, labeled cells were seen in and near the infarct at all time points studied (14/14), but none in the sham operated hearts (6/6). There was evidence for myogenic differentiation. Some of these labeled cells showed positive staining for cardiomyocyte specific troponin I-c at 4 weeks, while others appeared in the vascular walls expressing smooth muscle alpha-actin. CONCLUSIONS: Following myocardial infarction, MSC's are signaled and recruited to the injured heart, where they undergo differentiation, and may participate in the pathophysiology of post-infarct remodeling, angiogenesis, and maturation of the scar. Therapeutic implantation of MSCs thus may further enhance such effects.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".