Nestin is a Marker of Lung Remodeling Secondary to Myocardial Infarction and Type I Diabetes in the Rat
Bibliographic record
Abstract
Upregulation of the intermediate filament protein nestin was identified in a subpopulation of fibroblasts during reactive and reparative fibrosis and directly contributed to the enhanced proliferative phenotype. The present study tested the hypothesis that nestin was expressed in lung fibroblasts and the pattern of expression represented a distinct marker of pulmonary remodeling secondary to myocardial infarction and type I diabetes. Nestin((+)) fibroblasts were detected in rat lungs and a subpopulation exhibited a myofibroblast phenotype delineated by the co-expression of smooth muscle α-actin. In the lungs of myocardial infarcted rats, interstitial collagen content and nestin mRNA/protein levels were significantly increased despite the absence of secondary pulmonary hypertension, whereas smooth muscle α-actin protein expression was unchanged. Exposure of rat pulmonary fibroblasts to pro-fibrotic stimuli angiotensin II and transforming growth factor-β significantly increased nestin protein levels. In the lungs of type I diabetic rats, the absence of a reactive fibrotic response was associated with a significant downregulation of nestin mRNA/protein expression. Nestin was reported a target of miR-125b, albeit miR-125b levels were unchanged in pulmonary fibroblasts treated with pro-fibrotic stimuli. Nestin((+)) cells lacking smooth muscle α-actin/collagen staining were also identified in rodent lungs and a transgenic approach revealed that expression of the intermediate filament protein was driven by intron 2 of the nestin gene. The disparate regulation of nestin characterized a distinct pattern of pulmonary remodeling secondary to myocardial infarction and type I diabetes and upregulation of the intermediate filament protein in lung fibroblasts may have facilitated in part the reactive fibrotic response.
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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 | 0.001 | 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".