Differential gene expression and methylation in the retinoid/<scp>PPARA</scp> pathway and of tumor suppressors may modify intestinal tumorigenesis induced by low folate in mice
Bibliographic record
Abstract
SCOPE: Inadequate folate intake increases risk for colorectal cancer. We previously showed that low-folate diets induced intestinal tumors in BALB/c mice, but not in C57BL/6 mice. We suggested that DNA damage, altered methylation, and reduced apoptosis could contribute to tumorigenesis in this model. METHODS AND RESULTS: To identify genes involved in tumorigenesis, we compared gene expression profiles in preneoplastic intestine of BALB/c and C57BL/6 mice-fed low folate. We identified 74 upregulated and 90 downregulated genes in BALB/c compared to C57BL/6 mice. We validated decreased expression of Bcmo1 and increased expression of Aldh1a, which would be expected to upregulate the peroxisome proliferator-activated receptor alpha (PPARA) pathway, and confirmed the expected upregulation of several Ppara downstream genes. We verified, in BALB/c mice, reduced expression of Sprr2a, a gene that increases resistance to oxidative damage, and of two oncosuppressors (Bmp5 and Arntl). Low folate increased Ppara and Aldh1a1 expression, and decreased Bcmo1, Sprr2a, and Bmp5 expression in BALB/c, compared to BALB/c on control diets. Bcmo1, Ppara, and Bmp5 showed differential DNA methylation related to strain, diet, and/or Mthfr genotype. CONCLUSION: Disturbed regulation of the retinoid/PPARA pathway, which influences oxidative damage, and altered expression of tumor suppressors may contribute to intestinal tumorigenesis induced by low-folate intake.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".