Rhamnogalacturonan polysaccharide inhibits inflammation and oxidative stress and alleviates visceral pain
Bibliographic record
Abstract
Rhamnogalacturonan (RGal) is a polysaccharide isolated from Acmella oleracea that ameliorates the intestinal barrier in an ulcerative colitis model induced by dextran sulfate sodium (DSS) and in Caco-2 cells. Here we investigate if RGal could reduce visceral pain, inflammation, oxidative stress and gastrointestinal dysmotility. Acetic acid, capsaicin or mustard oil were used to assess the visceral pain in normal mice. Ulcerative colitis was induced with DSS and RGal (10 mg/kg) was given orally for 7 days. RGal reduced abdominal contortions, cell migration, capsaicin, and mustard oil-induced visceral nociception. RGal reduced the visceral hypersensitivity, myeloperoxidase, lipid hydroperoxide and restored the glutathione, glutathione S-transferases, and superoxide dismutase levels and gastrointestinal motility, and protected the colonic epithelium and enteric neurons. RGal attenuates inflammation and consequently pain and intestinal motility; and could be a promising candidate for the treatment of ulcerative colitis. However, studies regarding the mechanism of action of RGal merited exploring further.
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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".