Allogeneic Mesenchymal Stem Cells for Treatment of Experimental Autoimmune Encephalomyelitis
Bibliographic record
Abstract
The use of allogeneic "universal donor" mesenchymal stromal cells (MSCs) may be a substantial clinical convenience for treatment of autoimmune ailments such as multiple sclerosis. We therefore tested whether allogeneic MSCs can be exploited for treatment of experimental autoimmune encephalomyelitis (EAE) in mice with otherwise intact immune system. Administration of allogeneic Balb/c-derived MSCs to C57Bl/6 mice with pre-established EAE led to a significant decrease in disease score over time comparable to that achieved with syngeneic MSCs, and was correlated with a significant blunting of immune cell infiltration to the spinal cord and reduced circulating levels of interferon-gamma (IFN-gamma) and interleukin-17. Pretreatment of allogeneic MSCs with IFN-gamma increased the expression levels of CCL2 as well as major histocompatibility complex I (MHCI) and MHCII, but also led to complete loss of suppressive activity in vivo that correlated with immune rejection. In conclusion, allogeneic MSCs can suppress the manifestations of EAE, yet retain the potential for alloimmunization.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".