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Record W4410099972 · doi:10.1002/efd2.70058

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

2025· article· en· W4410099972 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueeFood · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsColitisPolysaccharideMicrobiologyDextranGut floraChemistryBiologyBiochemistryImmunology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.254
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it