Experimental immunology<br>Influence of polysaccharide fraction C isolated from <i>Caltha palustris</i> L. on T and B lymphocyte subsets in mice
Bibliographic record
Abstract
Extracts from a diverse range of plants have been shown to possess immunomodulatory properties. Caltha palustris L. (Ranunculaceae) is a plant widely known and distributed in Europe, Asia and North America. The extracts from Caltha palustris have been used in traditional Canadian and Asian medicine to treat arthritis rheumatism, gonorrhea and a variety of skin diseases. The effects of polysaccharide fraction C from Caltha palustris L. extract (0.1, 1 and 10 mg/kg) on the total number of lymphocytes in the thymus, spleen and mesenteric lymph nodes and the percentage and the absolute number of T cells (CD4–CD8–, CD4+, CD8+, CD4+, CD8+) in the thymus and T cells (CD3+, CD4+, CD8+) and B (CD19+) lymphocytes in the spleen and mesenteric lymph nodes in mice were studied. The investigated substance was administered intraperitoneally once or five times to mice. The measurements were determined twice: on days 1 and 3 after last administration of fraction C. It was found that five times administration of fraction C from Caltha palustris L. extract significantly increased the absolute count and the percentage of CD4+ thymic cells irrespective of the dose applied. Moreover, five exposures to fraction C (1 and 0.1 mg/kg) increased percentage of CD4+ splenocytes. Multiple administration of examined fraction C increased the B lymphocyte population (CD19+ cells) in spleen and mesenteric lymph nodes. The results of the study showed that fraction C from Caltha palustris extract is able to change the percentage and absolute number of T and B lymphocytes in lymphatic organs. The effect of the examined substance depends on the number of consecutive doses applied.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".