Piperine, an alkaloid from black pepper, inhibits growth of human colon cancer cells via G1 arrest and apoptosis triggered by endoplasmic reticulum stress
Bibliographic record
Abstract
Piperine, a piperidine alkaloid present in black pepper, inhibits the growth of cancer cells, although the mechanism of action is not well understood. In this study, we show that piperine (75-150 µM) inhibited the growth of several colon cancer cell lines but had little effect on the growth of normal fibroblasts and epithelial cells. Piperine inhibited HT-29 colon carcinoma cell proliferation by causing G1 phase cell cycle arrest that was associated with decreased expression of cyclins D1 and D3 and their activating partner cyclin-dependent kinases 4 and 6, as well as reduced phosphorylation of the retinoblastoma protein and up-regulation of p21/WAF1 and p27/KIP1 expression. In addition, piperine caused hydroxyl radical production and apoptosis that was partially dependent on the production of reactive oxygen species. Piperine-treated HT-29 cells showed loss of mitochondrial membrane integrity and cleavage of poly (ADP-ribose) polymerase-1, as well as caspase activation and reduced apoptosis in the presence of the pan-caspase inhibitor zVAD-FMK. Increased expression of the endoplasmic reticulum stress-associated proteins inositol-requiring 1α protein, C/EBP homologous protein, and binding immunoglobulin protein, and activation of c-Jun N-terminal kinase and p38 mitogen-activated protein kinase, as well as decreased phosphorylation of Akt and reduced survivin expression were also observed in piperine-treated HT-29 cells. Furthermore, piperine inhibited colony formation by HT-29 cells, as well as the growth of HT-29 spheroids. Cell cycle arrest and endoplasmic reticulum stress-associated apoptosis following piperine treatment of HT-29 cells provides the first evidence that piperine may be useful in the treatment of colon cancer.
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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 | 0.000 |
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".