Structural Characterization of <i>Morchella esculenta</i> Polysaccharides and Its Ability to Modulate Intestinal Barrier and Intestinal Microbiota in Dextran Sulfate Sodium‐Induced Colitis Mice
Bibliographic record
Abstract
ABSTRACT Morchella esculenta polysaccharides (MEPs) are known to have multiple bioactive properties, including immunomodulatory, anticancer, antioxidant, anti‐inflammatory, etc. In this study, we assessed the impact of MEPs on dextran sulfate sodium (DSS)‐induced colitis in mice, focusing on intestinal barrier and microbiota modulation. Using NMR analysis, MEPs were found to predominantly consist of 1,4,6‐ α ‐ d ‐Glc p and 1,4‐ α ‐ d ‐Glc p . MEPs were able to significantly alleviate weight loss, reduce colon length shortening, and mitigate colon pathology in mice. Notably, MEPs suppressed elevated pro‐inflammatory cytokines levels but boosted anti‐inflammatory cytokine levels. Besides, MEPs modulated gut microbiota, enhancing microbial diversity and promoting homeostasis compared to untreated. Furthermore, there was a higher relative abundance of beneficial bacteria, indicating that MEPs could enhance gut microbiota composition. Collectively, MEPs have promising therapeutic potential in preventing colitis, and therefore could be developed as a novel nutraceutical strategy.
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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) | 0.001 | 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".