Structural characterization and immunomodulatory activities of polysaccharides from Russula vinosa lindblad extracted using KOH
Bibliographic record
Abstract
Russula vinosa Lindblad (R. vinosa Lindblad) is a nutrient-rich wild edible fungus, abundant in carbohydrates. In this study, two polysaccharides (Russula polysaccharides extracted from 1% KOH (RP-1) and Russula polysaccharides extracted from 5% KOH (RP-5)) were extracted from Russula fruit bodies using KOH-graded extraction technology. The molecular weights of RP-1 and RP-5 were 187 000 and 97 300 u, respectively. Their glycosyl compositions (galactose꞉glucose꞉xylose꞉ mannose, i.e., Gal꞉Glu꞉Xyl꞉Man) were 0.27:1.00:0.01:0.16 for RP-1 and 0.12:1.00:0.03:0.19 for RP-5. Nuclear magnetic resonance (NMR) analysis revealed that the main structural component of RP-1 was →3,6)-β-D-Glup-(1→, with a →6)-β-D-Glup-(1→ residue linked at sites 1 and 6, and a →3)-β-D-Glup-(1→ residue linked at sites 3. The RP-5 shared this structure with an additional →4)-β-D-Manp-(1→ residue attached to the →3)-β-D-Glup-(1→. Phagocytosis assay demonstrated that RP-5, with a lower molecular weight, lower galactose content, and higher xylose and mannose content, enhanced RAW 264.7 cell phagocytic activity by 121.04%, outperforming RP-1, which showed a 42.15% increase at the same concentration of 600 μg/mL. Furthermore, both RP-1 and RP-5 reduced the release of inflammatory factors and induced the nuclear translocation of the nuclear transcription factor-κB (NF-κB) pathway in RAW 264.7 cells. This study provided insights into the structural characteristics and immunomodulatory properties of Russula polysaccharides, offering potential for further applications in bioactive compound development.
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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) | 0.000 | 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 | 0.000 |
| 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 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".