Proapoptotic activity of indoleamine 2,3-dioxygenase expressed in renal tubular epithelial cells
Bibliographic record
Abstract
Exposure of renal tubular epithelial cells (TEC) to IFN-gamma/TNF-alpha leads to Fas/FasL-mediated self-injury, which contributes to allograft rejection. Indoleamine 2,3-dioxygenase (IDO) converts tryptophan to N-formyl-kynurenine and contributes to immune privilege in tissues by increasing Fas-mediated T cell apoptosis. However, renal expression of IDO and its role in promoting Fas-mediated TEC death have not been examined. IDO expression was analyzed by RT-PCR and Western blot. Apoptosis was measured by fluorescence-activated cell sorting analysis and terminal deoxytransferase-mediated dUTP nick end labeling. We demonstrated that functional IDO is expressed in TEC and is increased by IFN-gamma/TNF-alpha exposure. Increased IDO activity promoted TEC apoptosis, whereas inhibition of IDO by its specific inhibitor 1-methyl-d-tryptophan attenuated IFN-gamma/TNF-alpha-mediated TEC apoptosis and augmented TEC survival. Transgenic expression of IDO resulted in increased TEC apoptosis in the absence of proinflammatory cytokine exposure, supporting a central role for IDO in TEC injury. Inhibition of IDO-mediated TEC death by a caspase-8-specific inhibitor (Z-IETD-FMK), as well as the absence of an IDO effect in Fas-deficient and FasL-deficient TEC, supports a Fas/FasL-dependent, caspase-8-mediated mechanism for IDO-enhanced TEC death. These data suggest that renal IDO expression may be deleterious during renal inflammation, because it enhances TEC self-injury through Fas/FasL interactions. Thus attenuation of IDO may represent a novel strategy to promote kidney function following ischemia and renal allograft rejection.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".