The role of protein kinase C isozymes in TNF-α-induced cytotoxicity to a rat intestinal epithelial cell line
Bibliographic record
Abstract
Tumor necrosis factor (TNF)-alpha can induce cytotoxicity and apoptosis in a number of cell types and has been implicated in the regulation of many inflammatory processes. It has been suggested that protein kinase C (PKC) is one of the intracellular mediators of the actions of TNF-alpha. In the present study, the role of PKC isoforms in TNF-alpha-mediated cytotoxicity and apoptosis in intestinal cells was investigated using the rat epithelial cell line, IEC-18. Cells were incubated with TNF-alpha in the presence or absence of the transcription inhibitor actinomycin D (AMD). The extent of cell damage was enhanced when AMD was added to incubation medium, suggesting that new protein synthesis plays a role in the cytotoxic action of TNF. TNF-alpha also induced the translocation of PKC-alpha, -delta, and -epsilon from cytosol to the membrane fraction of the intestinal cells. Furthermore, the cytotoxic and apoptotic effects of TNF were reduced by pretreating the cells with the PKC-epsilon translocation inhibitor, PKC-epsilonV1-2. In contrast, although cells incubated with the phorbol ester phorbol 12-myristate 13-acetate (PMA) also displayed an increase in cell injury, the extent of cytotoxicity and apoptosis was not enhanced by AMD. Furthermore, PMA-induced cell damage was reduced by rottlerin, a PKC-delta inhibitor. Caspase-3, an enzyme implicated in the mediation of apoptosis, was activated in cells in response to either TNF-alpha or PMA stimulation, and its effects on this activity were reduced by selective inhibition of PKC-epsilon and -delta, respectively. Furthermore, inhibition of caspase-3 activity reduced apoptosis. These data suggest that activation of selective PKC isoforms mediate the effects of TNF-alpha on intestinal epithelial cell injury.
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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) | 0.001 | 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 | 0.001 |
| 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".