Endothelial characteristics of cardiac stem cell antigen-1 expressing cells and their relevance to right ventricular adaptation
Bibliographic record
Abstract
A growing body of evidence suggest that the stem cell antigen-1 expressing (Sca-1+) cells in the heart may be the cardiac endothelial stem/progenitor cells. Their endothelial cell (EC) functions, and their role in right ventricle (RV) physiology and pathophysiology of right heart failure (RHF) remains poorly defined. This study investigated EC characteristics of rat cardiac Sca-1+ cells, assessed spatial distribution and studied changes in Sca-1+ cells during RV remodelling in monocrotaline (MCT) model of pulmonary hypertension and RV remodeling. First, flow-cytometry analysis of adult male and female Sprague Dawley (SD) and Fischer CDF rat heart cells was performed, and we observed that the majority of Sca-1+ cells also expressed CD31, an EC marker. Furthermore, Sca-1+ cells showed acetylated low-density lipoprotein (ac-LDL) uptake and lectin binding similar to CD31+ cells from the same heart. The Sca-1+ cells also demonstrated network formation when plated on Matrigel. In the MCT treated rats, we observed increase in RV hypertrophy that correlated with the reduction in the abundance of Sca-1+CD31+ cells in the RV. Together, the cardiac Sca-1+ cells in the heart are endothelial stem/progenitor-like cells. These cells have higher abundance in the RV and may play a role in RV adaptation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".