Abstract 242: Subcutaneous and Visceral Adipose-Derived Stem Cells Have Similar Biological Properties and Both Improve Cardiac Function of Infarcted Rat Hearts
Bibliographic record
Abstract
Background: Adipose stem cells (ASC) from subcutaneous and visceral adipose tissues have been studied individually. However, it is unclear whether ASC from the two sources have different biological properties and, more importantly, whether one sub-type of ASC is more effective in treatment of CHF. This study was designed to address these concerns. Methods: Morphology, yield, proliferation, surface markers, and cytokine secretion of rat subcutaneous ASC (S-ASC) and visceral ASC (V-ASC) were analyzed. A rat model of myocardial infarction (MI) was established by occlusion of the LAD. 7 days after MI, S-ASC (n = 11), V-ASC (n = 11), and cell culture medium (Control, n = 7) were injected into the infarct rim, respectively. Cardiac function of the infarcted hearts was monitored with MRI for 6 months. Results: Both S-ASC and V-ASC exhibited a fibroblast-like morphology and expressed stromal cell markers (CD29, CD90 and CD105). No significant expression of hematopoietic markers (CD11b, CD34 and CD45) was found. Under appropriate conditions, both cells could differentiate to adipocyte- and osteocyte-like cells. Both of them expressed a significant level of HGF, IGF-1 and VEGF. As to their differences, V-ASC had approximately 3-times greater cell yield and a lower colony-formation rate (9.8±1.0% vs.13.5±2.6%) relative to S-ASC. In contrast, S-ASC showed a significantly greater growth rate (Doubling Time: 17.9 h vs. 26.0 h) relative to V-ASC. Both S-ASC and V-ASC-treated hearts showed a significantly greater left ventricular ejection fraction (LVEF, 58.3% and 56.7%) than the control group (LVEF, 47.2%) at end of 6 months. LVEF between the two ASC-treated groups was not significantly different. Finally, the implanted stem cells were readily detected in vivo with MRI for at least 6 months. Myocardial tissue sections showed existence of ASC and their locations matched with MRI signals. Conclusions: S-ASC and V-ASC share several biological characteristics. Both provide comparable significant improvement on cardiac function. Moreover, these implanted cells can be reliably tracked for at least 6 months using MRI. We conclude that the S-ASC and V-ASC are equally effective for treatment of heart failure.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".