Proliferation of peripheral blood mononuclear cells is suppressed by the indoleamine 2,3‐dioxygenase expression of interferon‐γ–treated skin cells in a co‐culture system
Bibliographic record
Abstract
Indoleamine 2,3-dioxygenase (IDO) is an intracellular tryptophan-oxidizing enzyme possessing various immunosuppressive characteristics. In this study, we report the possible use of this enzyme in an allogenic skin substitute to suppress the proliferation of immune cells. Human fetal skin fibroblasts and keratinocytes were treated with the cytokine interferon-gamma to induce expression of IDO mRNA and protein. IDO enzyme activity was evaluated by measurement of kynurenine levels in the interferon-gamma-treated and -untreated cells. Results of Northern analysis showed a dose-dependent response in expression of IDO mRNA to the various concentrations of interferon-gamma used. Northern blot analysis also showed a time-dependent expression of IDO in response to different durations of interferon-gamma treatment. The level of kynurenine measured, as the bioactivity of IDO enzyme, was significantly higher in the interferon-gamma-treated fibroblasts and keratinocytes compared to those of controls (p < 0.001). To illustrate the immunosuppressive effects of IDO on immune cell proliferation, IDO-expressing fibroblasts were cocultured with human peripheral blood mononuclear cells for a period of 5 days. Results of 3H-thymidine incorporation assays showed a significant reduction in proliferation of the mononuclear cells cocultured with IDO-expressing skin cells compared to monocytes cocultured with control (non-IDO-expressing) skin cells (p < 0.001). Furthermore, addition of the IDO-inhibitor (1-methyl-D-tryptophan) significantly reversed the immunosuppressive effects of IDO on monocyte proliferation (p < 0.001). In conclusion, suppression of peripheral blood mononuclear cell proliferation due to interferon-gamma-induced IDO-expression in allogenic human skin cells might shed new light on developing a nonrejectable allogenic skin substitute.
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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".