Myricetin‐induced oxidative stress suppresses murine T lymphocyte activation
Bibliographic record
Abstract
Abstract A number of polyphenolic compounds present in fruits and vegetables have the capacity to modulate immune responses; however, the impact of the common plant‐derived flavonoid myricetin on T lymphocyte function has not been investigated. We show that myricetin inhibited mouse T lymphocyte activation by bead‐immobilized anti‐CD3 and anti‐CD28 monoclonal antibodies, as indicated by a dose‐dependent reduction in cell proliferation and decreased synthesis of interferon‐γ, interleukin (IL)‐2, IL‐4, and IL‐17 associated with different T helper cell subsets. This effect was attributed to myricetin‐induced reactive oxygen species (ROS) since myricetin caused hydrogen peroxide (H2O2) to accumulate in cell‐free culture medium and H2O2 inhibited T cell proliferation and cytokine synthesis. In addition, the antioxidant N‐acetyl cysteine restored the ability of myricetin‐treated T lymphocytes to proliferate in response to a mitogenic stimulus. The presence of dendritic cells or bone marrow‐derived macrophages negated the inhibitory effect of myricetin on T cell activation, and H2O2 in T cell cultures that were treated with exogenous H2O2 was reduced when antigen‐presenting cells were also present. These findings suggest that antioxidant molecules produced by dendritic cells and macrophages protected T cells from myricetin‐induced oxidative stress, and underscore the importance of considering immune cell interactions when evaluating the immunomodulatory activity of ROS‐generating phytochemicals.
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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) | 0.001 | 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) | 0.002 | 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".