Echinacoside Stimulates Cell Proliferation and Prevents Cell Apoptosis in Intestinal Epithelial MODE-K Cells by Up-Regulation of Transforming Growth Factor-β1 Expression
Bibliographic record
Abstract
Cistanche deserticola MA (C. deserticola) has been widely used as a laxative herbal in herbal medicine for the treatment of irritable bowel syndrome or constipation, and echinacoside (ECH) is one of the major bioactive ingredients in this herbal. Our aim was to investigate the effect of ECH on intestinal epithelial cell growth and death. MODE-K, an intestinal epithelial cell line, was used as an in vitro model of the intestine. Cell proliferation was measured by methylthiazol tetrazolium (MTT) assay. Cell apoptosis was determined with Annexin-V staining. Here we showed that in cultured MODE-K cells, ECH significantly stimulated cell proliferation and enhanced cell survival by reducing cell apoptosis in the presence of H(2)O(2) or the mixture of pro-inflammatory cytokines, while transforming growth factor (TGF)-β1 expression was up-regulated in a dose-dependent manner. Knockdown of TGF-β1 expression disrupted both the proliferative and cytoprotective activities of ECH, which was further confirmed by neutralization of TGF-β1 activity using anti-TGF-β1 antibody. These data suggest that ECH as one of bioactive ingredients in herbal C. deserticola and others may improve mucosal tissue repair by stimulating intestinal epithelial cell proliferation and preventing cell death via up-regulation of TGF-β.
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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".