Regulatory T-Cell Generation and Kidney Allograft Tolerance Induced by Mesenchymal Stem Cells Associated With Indoleamine 2,3-Dioxygenase Expression
Bibliographic record
Abstract
BACKGROUND: The immunoregulatory properties of mesenchymal stem cells (MSCs) have been observed in vitro and in vivo. However, the underlying mechanisms of this immunomodulation remain undefined. Recent research demonstrated that MSCs express the tryptophan-catabolizing enzyme indoleamine 2,3-dioxygenase (IDO), known to suppress T-cell responses. This study was designed to address whether MSCs induce kidney allograft tolerance and whether IDO contributes to the immunoregulatory functions of MSCs in vivo. METHODS: MSCs (1×10(6), intravenously) from wild-type (WT-MSCs) or IDO knockout (IDO(-/-)-MSCs) C57BL/6 mice were injected into BALB/c recipients 24 hr after receiving a life-supporting orthotopic C57BL/6 renal graft. RESULTS: WT-MSC-treated recipients achieved allograft tolerance with normal histology and undetectable antidonor antibody levels. Tolerant recipients demonstrated increased circulating kynurenine levels and significantly high frequencies of tolerogenic dendritic cells. They also exhibited significantly impaired CD4+ T-cell responses consisting of decreased donor-specific proliferative ability and a Th2-dominant cytokine shift. In addition, high frequencies of CD4+CD25+Foxp3+ regulatory T cells (Tregs) were found in recipient spleens and donor grafts, with antibody-induced CD25+ cell depletion confirming the critical role of Tregs in the MSC-induced tolerance. Interestingly, renal allograft recipients treated with WT MSCs concomitant with the IDO inhibitor 1-methyl-tryptophan, or those treated with IDO(-/-)-MSCs alone, were unable to achieve allograft tolerance--revealing that functional IDO was necessary for the immunosuppression observed with WT-MSC treatment. CONCLUSIONS: IDO secreted by MSCs was responsible, at least in part, for induction of kidney allograft tolerance through generation of Tregs. This study supports the clinical application of MSCs in transplantation.
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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 | 0.000 |
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".