Bibliographic record
Abstract
PURPOSE OF REVIEW: Our understanding of the biology and properties of mesenchymal stem cells or multipotent mesenchymal stromal cells has expanded dramatically over the last 3 years and is likely to have an impact on clinical practice in the near future, making a review of this topic both timely and relevant RECENT FINDINGS: Recommendations regarding nomenclature and the definition of mesenchymal stromal cells have been proposed, a rapidly dividing population within the mesenchymal stromal cell compartment has been better defined and the ability of these cells to exhibit characteristics of cells from a variety of lineages has been extended. The notion that tissue repair with mesenchymal stromal cells is related to transdifferentiation has been re-evaluated and, for the myocardium at least, may be due rather to a paracrine mechanism. The most dramatic developments have been in identifying some of the complex mechanisms underlying the immunosuppressive and nonimmunogenic properties of mesenchymal stromal cells which have important implications for the management of conditions like acute graft-versus-host disease. SUMMARY: Mesenchymal stromal cells are a biologically important cell population that are able to support hematopoiesis, can differentiate along mesenchymal and nonmesenchymal lineages in vitro, are capable of suppressing alloresponses and appear to be nonimmunogenic. These properties suggest emerging roles for mesenchymal stromal cells in cell therapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.014 |
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".