Potential of Adipose-Derived Stem Cells for Treatment of Erectile Dysfunction
Bibliographic record
Abstract
INTRODUCTION: Adipose-derived stem cells (ADSCs) are a somatic stem cell population contained in fat tissue that possess the ability for self-renewal, differentiation into one or more phenotypes, and functional regeneration of damaged tissue, which may benefit the recovery of erectile function by using a stem cell-based therapy. AIM: To review available evidence concerning ADSCs availability, differentiation into functional cells, and the potential of these cells for the treatment of erectile dysfunction (ED). METHODS: We examined the current data (from 1964 to 2008) associated with the definition, characterization, differentiation, and application of ADSCs, as well as other kinds of stem cells for the cell-based therapies of ED. MAIN OUTCOME MEASURES: There is strong evidence supporting the concept that ADSCs may be a potential stem cell therapy source in treating ED. RESULTS: The ADSCs are paravascularly localized in the adipose tissue. Under specific induction medium conditions, these cells differentiated into neuron-like cells, smooth muscle cells, and endothelium in vitro. The insulin-like growth factor/insulin-like growth factor receptor (IGF/IGFR) pathway participates in neuronal differentiation while the fibroblast growth factor 2 (FGF2) pathway is involved in endothelium differentiation. In a preliminary in vivo experiment, the ADSCs functionally recovered the damaged erectile function. However, the underlying mechanism needs to be further examined. CONCLUSION: The ADSCs are a potential source for stem cell-based therapies, which imply the possibility of an effective clinical therapy for ED in the near future.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".