Amelioration of Dextran Sulphate Sodium‐Induced Colitis in Mice by Echinacoside‐Enriched Extract of <scp><i>Cistanche tubulosa</i></scp>
Bibliographic record
Abstract
Echinacoside (ECH) is a major bioactive phenyethanoids in medicinal herba Cistanche and has been reported to have antiinflammatory activity and beneficial effect on wound healing in many experimental studies. This study was to test the efficacy of ECH-enriched extract of Cistanche tubulosa in the treatment of dextran sulphate sodium (DSS)-induced colitis, a preclinical model of ulcerative colitis. Oral administration of ECH extract significantly suppresses the development of acute colitis, indicated by lowering disease activity index (p < 0.0001, n = 8) and preventing colonic damage (p = 0.0336). Histological examinations showed that ECH extract treatment protected intestinal epithelium from inflammatory injury (p = 0.0249) but had less effect on inflammatory cellular infiltration (p = 0.1753). The beneficial effect of ECH extract treatment was associated with upregulation of transforming growth factor (TGF)-β1 as well as with an increase in the number of Ki67(+) proliferating cells in diseased colons (p < 0.0001). In cultured MODE-K cells, the addition of ECH extract enhanced in vitro wound healing that depended on TGF-β1 expression. These data suggest that ECH extract possesses a greater efficacy in preventing DSS-induced colitis in mice, implying the potential of ECH or its derivatives for clinically treating inflammatory bowel disease.
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.
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 | 0.001 |
| 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".