Propranolol Accelerates Adipogenesis in Hemangioma Stem Cells and Causes Apoptosis of Hemangioma Endothelial Cells
Bibliographic record
Abstract
BACKGROUND: Infantile hemangiomas can cause significant morbidity during proliferation, yet there is no U.S. Food and Drug Administration-approved treatment. They are believed to form from hemangioma stem cells, which differentiate toward a hemangioma endothelial cell phenotype. Recently, propranolol has demonstrated effectiveness in treating complicated infantile hemangiomas. The authors hypothesize that propranolol facilitates their involution by altering cellular behavior in both hemangioma endothelial and stem cells. METHODS: Hemangioma endothelial and stem cells were isolated from resected infantile hemangioma specimens. Cells were treated with 100 μM propranolol for 48 hours, and apoptosis was determined by the presence of annexin V antibody. Proliferation of stem and endothelial cells was assessed after treatment with 50 or 100 μM propranolol or vehicle, for 72 and 96 hours, respectively. Adipogenesis was induced in stem cells with and without propranolol. Pro-adipogenic genes PPARδ, PPARγ, C/EBPα, C/EBPβ, C/EBPδ, RXRα, and RXRγ were analyzed by quantitative polymerase chain reaction. RESULTS: Annexin V levels were increased in propranolol-treated endothelial cells but not in stem cells. Proliferation of stem and endothelial cells was inhibited by propranolol in a dose-dependent manner. Propranolol-treated stem cells demonstrated accelerated adipogenesis when compared with untreated controls. Transcript levels of C/EBPβ (p < 0.05), RXRγ (p < 0.05), and PPARγ (p < 0.02) were significantly increased when treated with 50 or 100 μM propranolol; and C/EBPδ (p < 0.05), RXRα (p < 0.05), and PPARδ (p < 0.01) transcripts were increased when treated with 100 μM propranolol. C/EBPα transcript levels remained unchanged at either dose. CONCLUSIONS: Propranolol increased apoptosis of hemangioma endothelial cells, but not stem cells, and accelerated adipogenesis of hemangioma stem cells. Thus, propranolol likely accelerates involution to fibrofatty residuum.
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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) | 0.001 | 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".