Nestin<sup>(+)</sup> stem cells independently contribute to neural remodelling of the ischemic heart
Bibliographic record
Abstract
Recent studies have revealed the existence of multipotent nestin-immunoreactive cells in the adult mammalian heart. These cells were recruited to infarct site following ischemic injury and differentiated to a vascular lineage leading to de novo blood vessel formation. Here, we show that a sub-population of cardiac resident nestin((+)) cells can further differentiate to a neuronal-like fate in vivo following myocardial infarction. In the ischemically damaged rat heart, neurofilament-M((+)) fibres were detected innervating the peri-infarct/infarct region and the preponderance of these fibres were physically associated with processes emanating from nestin((+)) cells. One week after isogenic heterotopic cardiac transplantation, the beating transplanted rat heart was devoid of neurofilament-M((+)) fibre staining. The superimposition of an ischemic insult to the transplanted heart led to the de novo synthesis of neurofilament-M((+)) fibres by cardiac resident nestin((+)) cells. Nerve growth factor infusion and the exposure of normal rats to intermittent hypoxia significantly increased the density of neurofilament-M((+)) fibres in the heart. However, these newly formed neurofilament-M((+)) fibres were not physically associated with nestin((+)) processes. These data highlight a novel paradigm of reparative fibrosis as a subpopulation of cardiac resident nestin((+)) cells directly contributed to neural remodelling of the peri-infarct/infarct region of the ischemically damaged rat heart via the de novo synthesis of neurofilament-M fibres.
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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".