Immunomodulatory effects of piperine on dendritic cell function (50.36)
Bibliographic record
Abstract
Abstract Piperine is a major alkaloid in black and long pepper and has been shown to have potent anti-inflammatory properties. In this study we investigated the immunomodulatory effects of piperine on dendritic cells (DC), key initiators and modulators of T cell mediated immune responses. C57BL/6 bone marrow derived DC were matured in the presence of 100 µM of piperine or vehicle control. DC maturation marker and chemokine receptor expression was assessed by flow cytometry. T cell proliferation was measured by CFSE dilution. Cytokine secretion was assessed by cytometric bead array assay. In vitro DC migration was assessed using CCL21 as the chemotactic stimulus. Piperine treated DC showed decreased expression of CD40, CD86, class II MHC and CCR7 and increased expression of CCR5, consistent with an immature phenotype. DC production of IL-6, TNF and MCP-1 was significantly reduced following piperine treatment. Treatment with piperine also reduced DC migration and DC induced T cell proliferation. In addition, naïve T cells activated with piperine-treated DC secreted lower levels IFN-γ, IL-4, IL-17, and IL-2. This study demonstrates that piperine inhibits DC maturation, migration and T cell stimulatory capacity. Further investigation of piperine mediated DC immunomodulation could lead to the development of novel therapies for the treatment of autoimmune disorders or allograft rejection. This research is supported by CIHR.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".