Inflammatory Cytokine Production by Human Neutrophils Involves C/EBP Transcription Factors
Bibliographic record
Abstract
A growing number of neutrophil-derived cytokines have proven to be crucial to various inflammatory and immune processes in vivo. Whereas C/EBP (CCAAT/enhancer-binding protein) transcription factors are important for neutrophil differentiation from myeloid precursors, we report herein that they also regulate cytokine production in mature neutrophils. All known C/EBP proteins but C/EBPgamma are expressed in neutrophils; most isoforms localize to the nucleus, except for C/EBPalpha, which is cytoplasmic. Neutrophil stimulation does not alter the overall levels, cellular distribution, or turnover of C/EBP proteins; it also does not further induce the constitutive DNA-binding activity detected in nuclear extracts, consisting of C/EBPbeta and C/EBPepsilon. However, nuclear C/EBPbeta is rapidly phosphorylated upon cell stimulation, suggesting that it can activate cytokine promoters. Indeed, the transactivation of an IL-8 promoter-luciferase construct in a human neutrophil-like cell line was impaired when its C/EBP or NF-kappaB sites were mutated. Overexpression of a C/EBP repressor also impeded IL-8 promoter transactivation, as well as the generation of IL-8, Mip-1alpha, and Mip-1beta in this cellular model, whereas TNF-alpha generation was mostly unaffected. Finally, overexpression of a C/EBPbeta mutant (T235A) as well as chromatin immunoprecipitation assays unveiled an important role for this residue in cytokine induction. This is the first demonstration that C/EBP factors are important regulators of cytokine expression in human neutrophils.
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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 | 0.001 |
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".