Differential Pattern of Inflammatory Molecule Regulation in Intestinal Epithelial Cells Stimulated with IL-1
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Bibliographic record
Abstract
To better predict the consequences of blocking signal transduction pathways as a means of controlling intestinal inflammation, we are characterizing the pathways up-regulated by IL-1 in intestinal epithelial cells (IEC). IL-1beta induced increased mRNA levels of MIP-2, MCP-1, RANTES, inducible NO synthase (iNOS), and cyclooxygenase-2 (COX-2) in the IEC-18 cell line. IL-1beta activated NF-kappaB but not ERK or p38. Infecting cells with adenovirus expressing a mutated gene for IkappaBalpha (IkappaBAA) blocked IL-1-induced mRNA increases in MIP-2, MCP-1, and iNOS but not COX-2 or RANTES. Expression of IkappaBAA attenuated the IL-1-induced increase in COX-2 protein. Unexpectedly, RANTES mRNA increased, and protein was secreted by cells expressing IkappaBAA in the absence of IL-1. Adenovirus-expressing IkappaBAA, blocking protein synthesis, and IL-1beta all resulted in activation of JNK. The JNK inhibitor SP600125 prevented the RANTES increases by all three stimuli. A human enterocyte line was similarly examined, and both NF-kappaB and JNK regulate IL-1-induced RANTES secretion. We conclude that in IEC-18, IL-1beta-induced increases in mRNA for MIP-2, MCP-1, and iNOS are NF-kappaB-dependent, whereas regulation of RANTES mRNA is independent of NF-kappaB but is positively regulated by JNK. IL-1beta-induced mRNA increases in COX-2 mRNA are both NF-kappaB- and MAPK-independent but the translation of COX-2 protein is NF-kappaB-dependent. This pattern of signaling due to a single stimulus exposed the complexities of regulating inflammatory genes in IEC.
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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