Defining the identity of human adipose-derived mesenchymal stem cells
Bibliographic record
Abstract
Adipose-derived mesenchymal stem cells (ADMSCs) are an ideal population for regenerative medical application. Both the isolation procedure and the culturing conditions are crucial steps, since low yield can limit further cell therapies, especially when minimal adipose tissue harvests are available for cell expansion. To date, a standardized procedure encompassing both isolation sites and expansion methods is missing, thus making the choice of the most appropriate conditions for the preparation of ADMSCs controversial, especially in view of the different applications needed. In this study, we compared the effects of three different commercial media (DMEM, aMEM, and EGM2), routinely used for ADMSCs expansion, and two supplements, FBS and human platelet lysate, recently proven to be an effective alternative to prevent xenogeneic antibody transfer and immune alloresponse in the host. Notably, all the conditions resulted in being safe for ADMSCs isolation and expansion with platelet lysate supplementation giving the highest isolation and proliferation rates, together with a commitment for osteogenic lineage. Then, we proved that the high ADMSC hematopoietic supportive potential is performed through a constant and abundant secretion of both GCSF and SCF. In conclusion, this study further expands the knowledge on ADMSCs, defining their identity definition and offers potential options for in vitro protocols for clinical production, especially related to HSC expansion without use of exogenous cytokines or genetic modifications.
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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 | 0.001 | 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) | 0.000 | 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".