Phosphatidylinositol 3-Kinase-dependent Suppression of the Human Inducible Nitric-oxide Synthase Promoter Is Mediated by FKHRL1
Bibliographic record
Abstract
The synthesis of nitric oxide by inducible nitric-oxide synthase (iNOS) plays an important role in the innate immune response by promoting microbial killing and cell damage. In response to inflammatory cytokines and bacterial products, the human iNOS (hiNOS) gene undergoes rapid transcriptional activation via binding of stimulatory transcription factors (e.g. AP-1 and NF-kappaB) to its 5'-flanking region. However, maximal hiNOS promoter induction was suppressed via an unknown phosphatidylinositol 3-kinase (PI3K)-dependent mechanism. We hypothesized that inhibition of the transcription factor FKHRL1 by the PI3K/protein kinase B pathway attenuates hiNOS promoter induction by bacterial lipopolysaccharide and interferon-gamma (LPS/IFN-gamma). Human lung epithelial adenocarcinoma (A549) cells were transiently transfected with an 8.3-kb hiNOS promoter luciferase reporter construct. Co-expression of dominant-negative protein kinase B potentiated LPS/IFN-gamma-stimulated hiNOS promoter activity. In response to LPS/IFN-gamma, FKHRL1 was phosphorylated in a PI3K- and time-dependent fashion. Co-expression of constitutively active FKHRL1 increased hiNOS promoter activity and mRNA levels. Dominant-negative siRNA expression showed that FKHRL1 was necessary for the inhibitory effects of PI3K on hiNOS induction. The same effect was observed upon mutation of a consensus FKHRL1-binding site in the hiNOS promoter. By gel-shift analysis, the corresponding oligonucleotide probe bound endogenous FKHRL1 in an LPS/IFN-gamma- and PI3K-sensitive fashion. Regulation of the hiNOS promoter by FKHRL1 represents a potentially important molecular mechanism by which the PI3K pathway might suppress pro-inflammatory and proapoptotic responses to cytokines and bacterial products.
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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".