Comparative anti-inflammatory characterization of selected fungal and plant water soluble polysaccharides
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
β-Linked water soluble polysaccharides are important bioactive components of mushrooms and plants, they possess various biological activities, such as anti-inflammation, immunomodulation, anti-tumor and others. This study aimed to examine the comparative anti-inflammatory effects of five different β-linked water soluble polysaccharides from fungi and plants [i.e. Xylaria nigripes (XN), Grifola frondosa (GF), Lentinula lentodes (Len), Laminaria digitata (Lam) and Hordeum vulgare (BG)] in lipopolysaccharides-stimulated RAW264.7 macrophages. Although the selected five polysaccharides showed different potencies in anti-inflammatory activity, XN exhibited the strongest inhibitory effects on NO, TNF-α and IL-6 production, and iNOS and COX-2 expression, whereas the inhibitory activity of BG was the weakest. Among the polysaccharides with β-(1→3, 1→6) glucose linkages and triple-helix structures, the inhibition of GF and Len on TNF-α and IL-6 production was weaker than XN and Lam. This study concludes that the monosaccharide composition, glycosidic linkage and tertiary conformation were the main factors affecting the anti-inflammatory activity of polysaccharides, and polysaccharides with β-(1→3, 1→6) glycosidic linkages possessed stronger anti-inflammatory activity than β-(1→3, 1→4)-linked polysaccharides.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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