Deleterious effects of<i>Echinacea purpurea</i>and melatonin on myeloid cells in mouse spleen and bone marrow
Bibliographic record
Abstract
The neurohormone, melatonin, a product of the pineal gland, is a potent immune cell stimulant. Phytochemicals contained in root extracts of the plant species Echinacea purpurea are also potent as immune cell stimulants. Both agents are potent stimulants of T, B, and/or natural killer cells, but little is known of their effect on other hemopoietic cells, specifically granular leukocytes, also participants in a wide variety of disease defense processes. Given their current popularity and availability for amelioration of a) jet lag and sleep disorders (melatonin) and b) virus-mediated respiratory infections (E. purpurea), we investigated the effects of these agents on granular leukocytes and their precursors, myeloid cells. Mice received these agents daily for 7 or 14 days via the diet, thus mimicking human administration, after which spleens and bone marrow were removed and assessed for mature, differentiated granulocytes and their myeloid progenitors. The influence of these agents was directly related to the stage of cell maturity. Administration of both agents together resulted in significantly elevated levels of myeloid progenitor cells in both bone marrow and spleen and significantly reduced levels of mature, functional granulocyte progeny in both organs, suggesting a) increased precursor proliferation, b) antiapoptosis among the progenitors, and/or c) inhibition of precursor maturation-the latter readily explaining the paucity of mature granulocyte progeny. In conclusion, individual administration of either the herbal derivative and melatonin was either without effect (E. purpurea) or even advantageous (melatonin) to cells of this lineage, but when administered together, these agents significantly perturbed myelopoiesis.
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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 | 0.001 |
| 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 | 0.000 |
| 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".