Mesenchymal Stromal Cells and Natural Killer Cells: A Complex Story of Love and Hate
Bibliographic record
Abstract
Mesenchymal stromal cells (MSCs), characterized by both multidifferentiation potential and potent immunomodulatory capacity, represent a promising, safe and powerful cell based-therapy for repairing tissue damage and/or treating diseases associated with aberrant immune responses. Natural killer (NK) cells are granular lymphocytes of the innate immune system that function alone or in combination with other immune cells to combat both tumors and virally infected cells. After their infusion, MSCs are guided by host inflammatory elements and can interact with different immune cells, particularly those of the innate immune system. Although some breakthroughs have been achieved in understanding these interactions, much remains to be determined. In this review, we discuss the complex interactions between NK cells and MSCs, particularly the importance of improving the therapeutic value of MSCs.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| 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 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".