Resident Nestin <sup>+</sup> Neural-Like Cells and Fibers Are Detected in Normal and Damaged Rat Myocardium
Bibliographic record
Abstract
The present study examined whether nestin+ neural-like stem cells detected in the scar tissue of rats 1 week after myocardial infarction (MI) were derived from bone marrow and/or were resident cells of the normal myocardium. Irradiated male Wistar rats transplanted with beta-actin promoter-driven, green fluorescent protein (GFP)-labeled, unfractionated bone marrow cells were subjected to coronary artery ligation. Three weeks after MI, GFP-labeled bone marrow cells were detected in the infarct region, and a modest number were associated with nestin immunoreactivity. The paucity of GFP+/nestin+ cells in the scar tissue provided the impetus to explore whether neural-like stem cells were derived from cardiac tissue. Nestin mRNA and immunoreactivity were detected in normal rat myocardium, and transcript levels were increased in the damaged heart after MI. In primary-passage, cardiac tissue-derived neural cells, filamentous nestin staining was associated with a diffuse, cytoplasmic glial fibrillary acidic protein signal. Unexpectedly, in viable myocardium, numerous nestin+/glial fibrillary acidic protein+ fiberlike structures of varying length were detected and observed in close proximity to neurofilament-M+ fibers. The infarct region was likewise innervated, and the preponderance of neurofilament-M+ fibers appeared to be physically associated with nestin+ fiberlike structures. These data highlight the novel observation that the normal rat heart contained resident nestin+/glial fibrillary acidic protein+ neural-like stem cells, fiberlike structures, and nestin mRNA levels that were increased in response to myocardial ischemia. Cardiac tissue-derived neural stem cell migration to the infarct region and concomitant nestin+ fiberlike innervation represent obligatory events of reparative fibrosis in the damaged rat myocardium.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".