Effect of selective PKC isoform activation and inhibition on TNF‐<i>α</i>‐induced injury and apoptosis in human intestinal epithelial cells
Bibliographic record
Abstract
(1) We have investigated the effects of specific PKC isoforms in TNF-alpha mediated cellular damage using a human intestinal cell line (SCBN). (2) TNF-alpha treatment induced a decrease in the extent of intestinal cellular viability as determined by a formazan-based assay and an increase in the apoptotic index as assessed by immunohistology. These changes in cellular integrity were found to be related to the degradation of I-kappaBalpha, mobilization of NF-kappaB and release of mitochondrial cytochrome c. (3) TNF-alpha treatment also induced the activation of selective PKC isoforms which were associated with the decrease in cellular viability and an increase of cellular apoptosis. (4) Nonselective PKC antagonists, such as GF109203X and Gö6976 as well as isoform-selective PKC-inhibiting peptides would reverse the cellular injury as well as reduce the degradation of I-kappaBalpha and mitochondrial cytochrome c release. These effects were most highly correlated with changes in PKCdelta and epsilon primarily. (5) Intestinal cellular injury could be induced by treating cells with agonists selective for PKCdelta and epsilon mainly. (6) In conclusion, this study has shown that TNF-alpha treatment can induce the activation of PKCdelta and epsilon in the human intestinal cell line, SCBN, and this response is closely associated with an increase in cellular damage and apoptosis. PKCdelta and epsilon primarily mediate the release of mitochondrial cytochrome c and degradation of I-kappaBalpha and hence mobilization of NF-kappaB, which are responsible for the pathway leading to 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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".