Interleukin-15 delays human neutrophil apoptosis by intracellular events and not via extracellular factors: role of Mcl-1 and decreased activity of caspase-3 and caspase-8
Bibliographic record
Abstract
Interleukin-15 (IL-15) induces the de novo protein synthesis of intracellular polypeptides and delays neutrophil apoptosis by a mechanism that is still unclear. Herein, we investigated the potential antiapoptotic role of newly synthesized proteins released into the external milieu in IL-15-induced neutrophils. We found that IL-15 induces the de novo synthesis of an approximately 23-kDa protein, representing the predominant protein detected in the milieu, and identified it as IL-1 receptor antagonist (IL-1Ra) by Western blot and immunoprecipitation. We quantified IL-1Ra, IL-1alpha, and IL-1beta concentrations by enzyme-linked immunosorbent assay in intracellular and extracellular fractions from IL-15-induced neutrophils and found that IL-15 does not increase IL-1alpha or IL-1beta production but induces IL-1Ra release. Also, we demonstrated that IL-1Ra does not modulate apoptosis, even at a concentration 250 times greater than that measured in the external milieu. In contrast to granulocyte macrophage-colony stimulating factor, the supernatant harvested from IL-15-induced neutrophils was devoid of antiapoptotic activity. Addition of cycloheximide demonstrates that IL-15 delays apoptosis via de novo synthesis of intracellular proteins and that it increases myeloid cell differentiation factor-1 stability. We demonstrated also that IL-15 decreases the activity of caspase-3 and caspase-8, resulting in an inhibition of vimentin cleavage. Our results indicate that IL-15 can activate an anti-inflammatory loop, based on its ability to induce the synthesis of IL-1Ra by neutrophils. We conclude that IL-15 delays human neutrophil apoptosis by intracellular events and not via extracellular factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".