The mechanism for activation of the neutrophil NADPH‐oxidase by the peptides formyl‐Met‐Leu‐Phe and Trp‐Lys‐Tyr‐Met‐Val‐Met differs from that for interleukin‐8
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Bibliographic record
Abstract
Neutrophil chemotaxis has been shown to be regulated by two different signalling pathways that allow strong chemoattractants, such as bacterial-derived formylated peptides, to dominate over endogenous attractants, such as interleukin-8 (IL-8). Here we show that triggering of the formyl peptide receptor (FPR) with f-Met-Leu-Phe (fMLF) substantially reduced the neutrophil superoxide production induced by activation of the CXC receptors with IL-8. When the order of agonists was reversed, the cells were primed in their response to fMLF, suggesting that the signalling hierarchy between strong, so-called end-type (i.e. fMLF) and weak or intermediate-type (i.e. IL-8) chemoattractants, is also operating during activation of the NADPH-oxidase. The same result was obtained when fMLF was replaced with the hexapeptide, WKYMVM, specific for the formyl peptide-like receptor 1 (FPRL1). There were additional differences between the agonist receptor pairs fMLF/FPR, WKYMVM/FPRL1 and IL-8/CXCR. In contrast to FPR and FPRL1, no reserve pool of CXCR was present in subcellular granules and it was impossible to prime the oxidative response transduced through CXCR by the addition of priming agents such as tumour necrosis factor-alpha and platelet-activating factor. Moreover, the cytoskeleton-disrupting substance, cytochalasin B, had no effect either on IL-8-triggered oxidase activation or on CXCR reactivation. A pertussis toxin-sensitive G-protein is involved in signalling mediated through both FPR and CXCR, and the signalling cascades include a transient intracellular calcium increase, as well as downstream p38 MAPK and phosphoinositide 3-kinase activation. The data presented in this study provide support for two different signalling pathways to the neutrophil NADPH-oxidase, used by ligand binding to FPR/FPRL1 or CXCR, respectively.
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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 it