Functional Assessment of Pluripotent and Mesenchymal Stem Cell Derived Secretome in Heart Disease.
Bibliographic record
Abstract
OBJECTIVES: Cell-based therapies have demonstrated variable degrees of success in the management of myocardial infarction and heart failure. By inducing a myocardial infarction in a rat model, the effects of secretome from human induced pluripotent stem cells (HiPSCs) and human mesenchymal stem cells (hMSCs) on cardiac function and remodeling were investigated. METHODS: HiPSCs and hMSCs were cultured and after 12 cycles, secretome was collected. The quantification of stem cell growth factors was measured using the ELISA test. Thirty female Lewis rats underwent surgical ligation of the left coronary artery. The rats were then randomized (n=10/group) to receive one of three treatments injected into the peri-infarct area; normal saline, HiPSC and hMSC. Left ventricular ejection fraction (LVEF), fractional shortening (FS), histology and serum proteomics were evaluated in a blinded fashion both pre-operatively and at 2, 4 and 6 weeks. RESULTS: ELISA studies revealed, Platelet-derived growth factor (PDGF) concentration of 3.35± 0.031 ng/ml (0.68± 0.027ng/ml) for MSC-CM group, 3.44± 0.042 ng/ml (0.78± 0.03 ng/ml) for the HiPSC-CM group, 3.2± 0.107 ng/ml (0.64±0.013 ng/ml) for the MSC-pre-group, 3.1± 0.075 ng/ml (0.71± 0.013 ng/ml) for the HiPSC-pre group and 3.3± 0.047 ng/ml (0.71± 0.014ng/ml) for the HiPSC-pre-r group at 60 min in comparison to at (0 min).Compared to non-treated (NT), HiPSC and hMSC, treated rats demonstrated significant improvement in LVEF and FS, and significant reduction in scar size (p<0.05) at 4 and 6 weeks. Proteomic analysis detected the presence of Vascular endothelial growth factor (VEGF) in the serum of rats receiving HiPSC, which was absent in the NT and hMSC groups. CONCLUSION: The current study demonstrated a significant improvement of cardiac function and remodeling in response to secretome from HiPSCs and hMSCs. These findings suggest that secretome from HiPSCs may have potential therapy for acute myocardial infarction (MI) without the need of stem cell harvesting and implantation.
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".