NTPDase1 Controls IL-8 Production by Human Neutrophils
Bibliographic record
Abstract
The ectonucleotidase NTPDase1 (CD39) terminates P2 receptor activation by the hydrolysis of extracellular nucleotides (i.e., the P2 receptor ligands). In agreement with that role, exacerbated inflammation has been observed in NTPDase1-deficient mice. In this study, we extend these observations by showing that inhibition of NTPDase1 markedly increases IL-8 production by TLR-stimulated human neutrophils. First, immunolabeling of human blood neutrophils and neutrophil-like HL60 cells displayed the expression of NTPDase1 protein, which correlated with the hydrolysis of ATP at their surface. NTPDase1 inhibitors (e.g., NF279 and ARL 67156) as well as NTPDase1-specific small interfering RNAs markedly increased IL-8 production in neutrophils stimulated with LPS and Pam(3)CSK(4) (agonists of TLR4 and TLR1/2, respectively) but not with flagellin (TLR5) and gardiquimod (TLR7 and 8). This increase in IL-8 release was due to the synergy between TLRs and P2 receptors. Indeed, ATP was released from neutrophils constitutively and accumulated in the medium upon NTPDase1 inhibition by NF279. Likewise, both human blood neutrophils and neutrophil-like HL60 cells produced IL-8 in response to exogenous nucleotides, ATP being the most potent inducer. In agreement, P2Y(2) receptor knockdown in neutrophil-like HL60 cells markedly decreased LPS- and Pam(3)CSK(4)-induced IL-8 production. In line with these in vitro results, injection of LPS in the air pouches of NTPDase1-deficient mice triggered an increased production of the chemokines MIP-2 and keratinocyte-derived chemokine (i.e., the rodent counterparts of human IL-8) compared with that in wild-type mice. In summary, NTPDase1 controls IL-8 production by human neutrophils via the regulation of P2Y(2) activation.
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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".