Spermidine suppresses DC activation via eIF5A hypusination and metabolic adaptation
Bibliographic record
Abstract
Introduction: Cell metabolism plays an important role in immune effector responses and through responding to metabolic signals, immune cells can adapt and regulate their function. Arginine metabolism in dendritic cells (DC) has been shown to reduce T cell activation; however, it is unclear how this immunosuppressive state is induced. Method: To address this issue, we examined the immunomodulatory capacity of various metabolites from arginine metabolism. Results: Through the use of a recently described DC:T cell interaction assay and flow cytometry we demonstrated that spermidine most significantly inhibited DC activation, preventing subsequent interactions with CD4 T cells. DC function could be restored by addition of inhibitors of spermidine metabolism via the eIF5A-hypusine axis, required for expression of some mitochondrial enzymes. We also demonstrated that the spermidine induced-immunosuppressive state protected DC against activation-induced loss of mitochondrial capacity for energy generation, which was also hypusination dependent. Conclusion: Taken together, these data demonstrate that spermidine is the key immunomodulatory component downstream of arginine metabolism and that it mediates this effect by stimulating hypusination-dependent protection of OXPHOS in DC, which in turn results in a reduced ability of DC to activate and interact with T cells. This pathway may be utilized by the immune system to regulate excessive immune responses but could also be exploited by pathogens as a method of immune evasion.
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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 | 0.000 | 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) | 0.000 | 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".