<i>In Vitro</i> Investigation of the Potential Immunomodulatory and Anti-Cancer Activities of Black Pepper ( <i>Piper nigrum</i> ) and Cardamom ( <i>Elettaria cardamomum</i> )
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Bibliographic record
Abstract
Although the immunomodulatory effects of many herbs have been extensively studied, research related to possible immunomodulatory effects of various spices is relatively scarce. Here, the potential immunomodulatory effects of black pepper and cardamom are investigated. Our data show that black pepper and cardamom aqueous extracts significantly enhance splenocyte proliferation in a dose-dependent, synergistic fashion. Enzyme-linked immunosorbent assay experiments reveal that black pepper and cardamom significantly enhance and suppress, respectively, T helper (Th)1 cytokine release by splenocytes. Conversely, Th2 cytokine release by splenocytes is significantly suppressed and enhanced by black pepper and cardamom, respectively. Experimental evidence suggests that black pepper and cardamom extracts exert pro-inflammatory and anti-inflammatory roles, respectively. Consistently, nitric oxide production by macrophages is significantly augmented and reduced by black pepper and cardamom, respectively. Remarkably, it is evident that black pepper and cardamom extracts significantly enhance the cytotoxic activity of natural killer cells, indicating their potential anti-cancer effects. Our findings strongly suggest that black pepper and cardamom exert immunomodulatory roles and antitumor activities, and hence they manifest themselves as natural agents that can promote the maintenance of a healthy immune system. We anticipate that black pepper and cardamom constituents can be used as potential therapeutic tools to regulate inflammatory responses and prevent/attenuate carcinogenesis.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it