STUDIES ON THE T CELL SUPPRESSIVE AND ANTI-ANGIOGENIC ACTIVITIES OF THE DIETARY PHYTOCHEMICAL PIPERINE
Bibliographic record
Abstract
Piperine, a pungent alkaloid found in the fruits of long and black pepper plants, has diverse physiological effects, including anti-inflammatory and anti-cancer activities. The effect of piperine on the function of T cells and endothelial cells, two important elements of inflammation, have not been examined previously and were the focus of this study. Piperine inhibited the proliferation of human endothelial cells, murine T cells, and IL-2-dependent CTLL-2 T cells, without affecting cell viability. Progression into the S phase of the cell cycle was inhibited in all three cell types. In T cells, piperine inhibited expression of the early activation marker CD25, production of IFN-?, IL-2, IL-4, and IL-17A, and the generation of cytotoxic effector cells. In endothelial cells, piperine inhibited migration and tubule formation in vitro and ex vivo, as well as breast cancer cell-induced angiogenesis in chick embryos. Piperine inhibited Akt phosphorylation in signaling pathways associated with growth factor receptors on endothelial cells, T cell receptor and CD28 on T cells, and IL-2 receptor on CTLL-2 cells. Additionally, piperine inhibited ERK1/2 and I?B phosphorylation in activated T cells, as well as STAT3, STAT5, and ERK1/2 phosphorylation in IL-2-stimulated CTLL-2 cells. However, piperine is not a broad-spectrum inhibitor of phosphorylation as it did not inhibit ZAP-70 phosphorylation in activated T cells or phosphorylation of JAK1 and JAK3 in IL-2-stimulated CTLL-2 cells. Piperine-mediated inhibition of T cell activation and IL-2 receptor signaling suppresses T cell proliferation and effector cell differentiation, suggesting possible utility in treating T cell-mediated autoimmune and chronic inflammatory conditions. Additionally, the potent anti-angiogenic activity of piperine warrants further study for the prevention of inflammation- and cancer-promoting angiogenesis.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".