Rapid Immune Modulation after Consuming Euglena gracilis Whole Algae Involving Altered Responses to Ex Vivo Immune Challenges: A Placebo-Controlled Cross-Over Trial
Bibliographic record
Abstract
Euglena gracilis (EG) microalgae has immune-modulating properties, partly due to its unique intracellular β-glucan-granules (paramylon). We evaluated the effects of EG consumption on immune status in vivo, ex vivo, and in vitro. A placebo-controlled cross-over study evaluated acute immune surveillance, followed by a 1-week open-label phase. Immune training was documented using ex vivo immune challenges and cytokine profiles. In vitro testing of monocytes compared the effects of EG to pure β-glucan. Compared to placebo, EG consumption triggered increased T cell numbers in the blood circulation (1 h: p < 0.01) and decreased monocyte numbers (2 h: p < 0.05). Natural killer cells showed increased CD25 expression (1 and 2 h: p < 0.01) and reduced CD69 expression (2 h: p < 0.01). T cells showed reduced CD25 and CD69 expression (p < 0.01). There were no significant changes to serum cytokines. After EG consumption, ex vivo cultures of peripheral blood mononuclear cells showed significant changes to spontaneous and inflammation-induced cytokine levels after 2 h (increased G-CSF: p < 0.01, reduced IL-1β and TNF-α (p < 0.05)) and one week (reduced TNF-α (p < 0.01) and increased IL-10 (p < 0.05)). In vitro, EG-trained monocytes responded differently to a second stimulus than β-glucan-trained monocytes (increased IL-1b: p < 0.1, TNF-α: p < 0.01). EG-mediated training of innate immunity, combined with long-term modulation of inflammation, suggests a nutraceutical strategy for preventive immune support.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".