Inhibition of T cell activation by the phytochemical piperine (50.35)
Bibliographic record
Abstract
Abstract Piperine, a major alkaloid of the fruits of black and long pepper plants, exhibits anti-inflammatory activity both in vitro and in vivo. Although the effect of piperine on T cell function is not yet known, we hypothesized that piperine might inhibit T cell processes involved in inflammation. We therefore examined the effect of piperine on T cell proliferation, activation marker expression, and cytokine production. Cellular proliferation was determined by tritiated-thymidine incorporation and Oregon Green® 488 staining while activation marker expression was assessed by flow cytometry. Cytokine production and intracellular signalling pathways were examined by ELISA and Western blot analysis, respectively. Piperine inhibited T cell proliferation in a dose-dependent manner without affecting T cell viability. Piperine also inhibited expression of the T cell activation markers CD25, CD69, and CTLA-4, as well as production of the cytokines IFN-γ, IL-2, IL-4, and IL-17. Phosphorylation of extracellular signal-regulated kinase (ERK) and inhibitor of κBα (IκBα) was diminished in T cells stimulated in the presence of piperine, indicating that piperine affects signalling pathways involved in T cell activation. Collectively, these data suggest that piperine warrants further investigation as a possible immunosuppressive agent for the treatment of T cell-mediated inflammation. Supported by NSERC and CIHR.
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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 | 0.001 | 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) | 0.000 | 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".