Dual roles for bone marrow‐derived Sca‐1 cells in cardiac function
Bibliographic record
Abstract
ABSTRACT Recruitment of stem cells from the bone marrow (BM) is an important aspect of cardiac healing that becomes inefficient with age. We investigated the role of young stem cell antigen 1 (Sca‐1)‐positive BM cells on the aged heart by microarray analysis after BM reconstitution. Sca‐1 + and Sca‐1 ‒ BM cells from young green fluorescent protein (GFP)‐positive mice were used to reconstitute the BM of aged mice. Myocardial infarction (MI) was induced 3 mo later. GFP + cells were more abundant in the BM, blood, and heart of Sca‐1 + mice, which corresponded to preserved cardiac function after MI. At baseline, Sca‐1 + BM reconstitution increased cardiac expression of serum response factor, vascular endothelial growth factor A, and myogenic genes, but reduced the expression of Il‐1β. After MI, inflammation was identified as a key difference between Sca‐1 ‒ and Sca‐1 + groups, as cytokine expression and cell surface markers associated with inflammatory cells were up‐regulated with Sca‐1 + reconstitution. Mac‐3 and F4/80 staining showed that the postinfarction heart was composed of a mixture of GFP + (donor) macrophages, GFP ‒ (host) macrophages, and GFP + cells that did not contribute to the macrophage population. This study demonstrates that Sca‐1 + BM cells regulate cardiac healing though an acute inflammatory response and also before injury by stimulating formation of a beneficial cardiac niche.—Tobin, S. W., Li, S.‐H., Li, J., Wu, J., Yeganeh, A., Yu, P., Weisel, R. D., Li, R.‐K. Dual roles for bone marrow–derived Sca‐1 cells in cardiac function. FASEB J. 31, 2905–2915 (2017). www.fasebj.org
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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) | 0.002 | 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".