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Record W2944307483 · doi:10.1158/1538-7445.am2008-2098

Abstract 2098: The effect of in utero folic acid supplementation on colorectal cancer risk in the offspring in a chemical carcinogen rodent model

2008· article· en· W2944307483 on OpenAlexaff
Karen K. Y. Sie, Alan Medline, Kyoung‐Jin Sohn, Ruth Croxford, Young‐In Kim

Bibliographic record

VenueCancer Research · 2008
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsOffspringAzoxymethaneMedicinePhysiologyColorectal cancerIn uteroPregnancyWeaningPopulationInternal medicineHomocysteineEndocrinologyCancerFetusBiologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background: Epidemiologic studies suggest that dietary intake and blood levels of folate are inversely related to colorectal cancer (CRC) risk. However, animal studies and recent human intervention trials have suggested that although folate supplementation may decrease the risk of developing de novo CRC, folate supplementation may promote the progression of existing, undiagnosed preneoplastic lesions in the colorectum to CRC. Total intake and blood levels of folate in North America have dramatically increased over the past decade owing to mandatory folic acid (FA; the synthetic form of folate) fortification and 30-40% of the population taking multivitamins containing FA. It is unknown whether high folate in the intrauterine environment may affect CRC risk in the offspring. We therefore investigated the effect of FA supplementation provided in utero and postnatally on CRC risk in the offspring in the azoxymethane (AOM) rat model of CRC. Methods: Female Sprague-Dawley rats were placed on either a control diet (2mg FA/kg diet) or a supplemented diet (5mg FA) for 3 weeks prior to breeding, and remained on the diet throughout pregnancy and lactation. Male pups from each maternal diet group were randomized to either the control or supplemented diet (n=55 per group) at weaning (21 days of age). At 5 and 6 weeks of age, 2 weekly s.c. injections of AOM were given. At 34 weeks of age, all rats were sacrificed and tumor incidence, multiplicity and burden as well as plasma folate and homocysteine (Hcy; an accurate inverse indicator of folate status) and liver folate concentrations were determined. Results: Plasma and liver folate concentrations accurately reflected dietary FA levels (p<0.001), and a significant interaction was found between maternal and pup diets (p< 0.02). Plasma Hcy was lower in pups fed the 5mg diet (p=0.036). Maternal FA supplementation significantly decreased the risk of developing CRC in the offspring (p=0.003) whereas postnatal FA supplementation had no significant effect. Pups from dams on the control diet had a nearly 3-fold increased risk of developing CRC compared with those from dams on FA supplementation (odds ratio=2.78; 95% CI, 1.41-5.50). There was no significant effect of interaction between maternal and pup diets on CRC incidence. Total number of tumors and sum of tumor diameter were significantly different among the diet groups (p=0.014 and p=0.006, respectively) with FA supplemented pups from dams on the control diet bearing a higher number of tumors and a larger tumor diameter than other groups (p<0.03). Conclusions: Notwithstanding the limitations associated with this model, our data suggest that FA supplementation provided in utero, but not postnatally, may protect the offspring from developing CRC. Although FA supplementation may promote the progression of established precursors of CRC, FA supplementation may decrease the risk of developing de novo CRC.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.073
GPT teacher head0.423
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

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