Acetylcholine muscarinic M2 receptor maintains human Schwann-like adipose-derived phenotype in the absence of differentiating medium
Bibliographic record
Abstract
Human adipose-derived stem cells (ASCs), differentiated in vitro towards Schwann-like phenotype (hdASCs), have been suggested as an alternative source of Schwann cells (SCs). However, although they seem a good alternative, their differentiation is unstable, losing their SC-like phenotype following growth factor withdrawal. Rat and human SCs and rat dASCs have been characterized for acetylcholine M2 muscarinic receptor subtype that plays a strategic role in the regulation of their differentiation. Here, we evaluated the M2 muscarinic receptor activation in controlling hdASC proliferation and stabilization of the hdASC phenotype. In accordance with our data in rats, M2 stimulation results in a reversible decrease of cell growth and migration in hdASCs, negatively modulates proliferation markers and upregulates differentiation markers. Remarkably, hdASC differentiation can be stabilized by M2 receptor activation in the absence of differentiation media maintaining a spindle-shaped morphology and SC-like marker expression. These results show that the M2 receptor enhances the hdASC phenotype, maintaining the expression of key glial markers and supporting their pro-regenerative properties.
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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 | 0.001 |
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".