Newly synthesized curcumin analog has improved potential to prevent colorectal carcinogenesis <i>in vivo</i>
Bibliographic record
Abstract
Curcumin (diferuloylmethane) has chemopreventive and chemotherapeutic potentials against various types of cancers. We have developed a series of curcumin analogs to improve its low bioavailability by enhancing its potentials. The newly synthesized analog GO-Y030 [(1E, 4E)-1,5-bis-(3,5(-bismethoxymethoxyphenyl) penta-1,4-dien-3-one] showed a 30-fold greater growth suppression in vitro via similar molecular mechanisms to curcumin. The availability of this analog was examined by using a mouse model harboring the germ-line mutation of Apc, Apc(580D/+), in vivo. Apc(580D/+) mice had a very limited survival time with an intestinal obstruction due to polyposis. The average tumor number in mice fed GO-Y030 was reduced to 61.2% of those that were fed the basal diet (P < 0.05). Compared with Apc(580D/+) mice fed the basal diet (median survival time = 166.5 days), a significantly prolonged lifespan (213 days) was observed in Apc(580D/+) mice fed GO-Y030. The chemopreventive effect with GO-Y030 was improved, compared with curcumin (191 days). The survival benefit corresponded to the diminished intestinal tumor incidence in Apc(580D/+) mice fed GO-Y030. No adverse reactions were observed, judging from body weight or biochemical data concerning liver and renal damage. Degradation of accumulated beta-catenin with curcumin is one of the major mechanisms of chemoprevention in colorectal carcinogenesis. It was demonstrated that the number of beta-catenin-positive adenoma cells in Apc(580D/+) mice fed GO-Y030 was reduced.
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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".