The phenotype and potential origin of nestin<sup>+</sup>cardiac myocyte-like cells following infarction
Bibliographic record
Abstract
Nestin+ cardiac myocyte-like cells were detected in the peri-infarct/infarct region of the ischemically damaged heart. The present study was undertaken to elucidate the phenotype and potential origin of nestin+ cardiac myocyte-like cells and identify stimuli implicated in their appearance. In the infarcted human and rat heart, nestin+ cardiac myocyte-like cells were morphologically and structurally immature, exhibited a desmin-immunoreactive striated phenotype, expressed the beta(1)-adrenergic receptor, and associated with an aberrant pattern of connexin-43 expression and/or organization. Nestin+ cardiac myocyte-like cells were detected 24 h postischemic injury and persisted in the infarcted rat heart for 9 mo. In the normal rat heart, cardiac progenitor transcriptional factors Nkx2.5/GATA4 were detected in a subpopulation of nestin+ neural stem cells. Following an ischemic insult, nestin+/Nkx2.5+ neural stem cells migrated to the peri-infarct/infarct region and appeared to be in a primordial state of differentiation to a nestin+ cardiac myocyte-like cell. The exposure of adult male rats to normobaric hypoxia (12% O2) for 10 days failed to promote the appearance of nestin+ cardiac myocyte-like cells. Following osmotic pump delivery of isoproterenol to normal adult rats, nestin+ cardiac myocyte-like cells were detected, albeit the response was modest and secondary to tissue loss. Thus ischemia-induced appearance of nestin+ cardiac myocyte-like cells apparently represents an adaptive response to heal the infarcted heart. Nkx2.5/GATA4 expression in a subpopulation of resident neural stem cells provides the appropriate phenotype for their potential differentiation to a nestin+ cardiac myocyte-like cell.
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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".