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Record W2316856547 · doi:10.1158/1538-7445.am10-946

Abstract 946: Effects of maternal and postweaning folic acid supplementation on gene-specific DNA methylation in the offspring

2010· article· en· W2316856547 on OpenAlexaff
Karen K. Y. Sie, Jennifer Li, Anna Ly, Ruth Croxford, Kyoung‐Jin Sohn, Young‐In Kim

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsOffspringDNA methylationMethylationBiologyWeaningEndocrinologyInternal medicinePregnancyExonLactationAndrologyGene expressionGeneticsGeneMedicine

Abstract

fetched live from OpenAlex

Abstract Background: Folate is an important co-factor in the transfer of one-carbon moieties essential in DNA methylation reactions, aberrations of which have been implicated in several chronic diseases including cancer. Previous studies have demonstrated that in utero supplementation of methyl donors, including folic acid (FA), can affect DNA methylation with permanent and heritable phenotypic changes in the offspring. Recently, we observed that maternal and postweaning FA supplementation significantly decreased global DNA methylation in the liver of the offspring. We investigated the effect of maternal and postweaning FA supplementation on gene-specific methylation in the offspring. Methods: Female Sprague-Dawley rats were placed on a control diet (2 mg FA/kg diet) or supplemented (5 mg) diet for 3 weeks prior to breeding and throughout pregnancy and lactation. At weaning, pups were randomized to the control or supplemented diet until 14 weeks of age. At necropsy, plasma folate and homocysteine (Hcy; an accurate inverse indicator of tissue folate status), and liver folate concentrations of the pups were determined. Site-specific methylation of the promoter region of the Pparγ, p16 and ER and intraexonic regions of the p53 (exons 6 & 7) and Apc (exon 15) was determined in the liver at weaning and at 14 weeks of age using methylation-sensitive PCR following restriction endonuclease digestion. DNA methyltransferase (DNMT) activity in the liver was also determined at both time points. Results: At weaning and 14 weeks of age, plasma and liver folate concentrations accurately reflected dietary FA levels and were higher in the supplemented FA groups (p<0.001). Plasma Hcy was significantly lower in pups supplemented with FA (p<0.001). At weaning, maternal FA supplementation was associated with significant hypomethylation of the Pparγ, ER, p53, and Apc genes (p<0.05). At 14 weeks of age, however, maternal and postweaning FA supplementation increased methylation of the Pparγ, p53, and p16 genes (p<0.05) and postweaning FA supplementation independently increased methylation of the ER and Apc genes (p<0.05). No interactions between maternal or postweaning diets on gene-specific methylation were observed. FA supplementation also decreased DNMT activity at both time points (p<0.05). Conclusions: Our data suggest that FA supplementation during the intrauterine, perinatal and postweaning periods significantly modulates DNA methylation of critical genes with tumor suppressor or transcription regulation functions in the liver of offspring at weaning and 14 weeks of age. Given the drastically increased FA intake and blood measurements in women at childbearing age in North America, in part due to widespread FA supplementation and mandatory fortification, whether or not FA can influence cancer risk in the offspring via epigenetic mechanisms warrants further investigation. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 946.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.419
Teacher spread0.356 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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