Therapeutic Potential of Extracellular Vesicles (Exosomes) Derived From Platelet‐Rich Plasma: A Literature Review
Bibliographic record
Abstract
BACKGROUND: There are exciting advances in the field of exosomes research as a potential regenerative therapy. Platelet-rich plasma represents an abundant source of exosomes. AIM: To present evidence on the use of platelet-rich plasma-derived exosomes in dermatology and discuss current technical limitations. METHODS: A literature search was conducted using Embase (Ovid), Web of Science, and ClinicalTrials.gov in June 2024. RESULTS: Platelet-rich plasma-derived exosomes contain a myriad of growth factors, genetic materials, and lipids that mediate paracrine signaling. Several preclinical studies have demonstrated their potential in wound healing. This includes faster wound contraction in diabetic animal models, as well as enhanced angiogenesis, increased cell proliferation and migration, and protection against hyperglycemic conditions in vitro. A case study reported a topical platelet-derived exosome product tried successfully in a patient with persistent scalp wounds. In contrast, there is scarce information on the use of platelet-rich plasma-derived exosomes in hair growth and skin rejuvenation. Isolation techniques, activation methods, and methods of delivery have not been optimized, which warrants further research. Novel delivery methods, such as hydrogel-based preparations, may enable the topical application of exosomes. CONCLUSION: Exosomes derived from platelet-rich plasma have demonstrated therapeutic potential. More research is needed to standardize its use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".