Protective effects of epigallocatechin gallate (EGCG) derivatives on azoxymethane-induced colonic carcinogenesis in mice
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.
Bibliographic record
Abstract
Epigallocatechin gallate (EGCG), the major polyphenol in green tea and a functional food ingredient/nutraceutical with health-promoting properties, was structurally modified by esterification with butyric and docosahexaenoic (DHA) acid in order to improve its lipophilicity and hence bioefficacy in vivo . The lipophilic derivatives of EGCG so-prepared were evaluated for their anticancer activity against azoxymethane (AOM)-induced colon carcinogenesis in mice. Formation of colonic aberrant crypt foci (ACF) was monitored as the biomarker of colorectal cancer (CRC). It was found that oral administration of EGCG derivatives led to reduced size of ACF in the mouse colon. EGCG–DHA esters were more effective than EGCG-butyrate in inhibiting the formation of ACF. The total number of large colonic ACF was remarkably decreased by treatment with EGCG derivatives, especially by the EGCG–DHA esters, which showed a 100% inhibition of large ACF formation. Two tumor-promoting enzymes, iNOS and COX-2 were also inhibited by EGCG derivatives to various extents at the expression level. The results suggest that the lipophilic ester derivatives of EGCG are effective in inhibiting colon carcinogenesis and may be good candidates for colon cancer prevention/treatment.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it