Rapid externalization of 27-kDa heat shock protein (HSP27) and atypical cell death in neutrophils treated with the sphingolipid analog drug FTY720
Bibliographic record
Abstract
The sphingolipid analog fingolimod is known to induce apoptosis of tumor cells and lymphocytes. Its effect on neutrophils has not been investigated so far. Here, we describe a fingolimod-induced atypical cell death mechanism in human neutrophils, characterized by rapid translocation of heat shock protein 27 to the cell surface, extensive cell swelling and vacuolization, atypical chromatin staining and nuclear morphology, and phosphorylation of mixed lineage kinase domain-like protein. Fingolimod also induces typical apoptotic features, including rapid externalization of phosphatidylserine and activation of caspase-8. Fingolimod-induced neutrophil death is independent of sphingosine-1-phosphate receptors and positively regulated by protein phosphatase A. Externalization of phosphatidylserine and heat shock protein 27 can be partially inhibited by inhibitors of caspase-8 [Z-Ile-Glu(O-Me)-Thr-Asp(O-Me)-fluoromethyl ketone], receptor-interacting protein kinase 1 (necrostatin-1), receptor-interacting protein kinase 3 (necrosulfonamide), and heat shock protein 90 [geldanamycin and 17-(dimethylaminoethylamino)-17-demethoxygeldanamycin]. Furthermore, NADPH oxidase 1 inhibition with diphenyleneiodonium chloride protects neutrophils against fingolimod-mediated cell death. Overall, these observations suggest that fingolimod acts through a mechanism involving the necrosome signaling complex and the oxidative stress machinery.
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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".