Tissue-specific relationship of S-adenosylhomocysteine with allele-specific<i>H19/Igf2</i>methylation and imprinting in mice with hyperhomocysteinemia
Bibliographic record
Abstract
DNA methylation is linked to homocysteine metabolism through the generation of S-adenosylmethionine (AdoMet) and S-Adenosylhomocysteine (AdoHcy). The ratio of AdoMet/AdoHcy is often considered an indicator of tissue methylation capacity. The goal of this study is to determine the relationship of tissue AdoMet and AdoHcy concentrations to allele-specific methylation and expression of genomically imprinted H19/Igf2. Expression of H19/Igf2 is regulated by a differentially methylated domain (DMD), with H19 paternally imprinted and Igf2 maternally imprinted. F1 hybrid C57BL/6J x Castaneous/EiJ (Cast) mice with (+/-), and without (+/+), heterozygous disruption of cystathionine-β-synthase (Cbs) were fed a control diet or a diet (called HH) to induce hyperhomocysteinemia and changes in tissue AdoMet and AdoHcy. F1 Cast x Cbs+/- mice fed the HH diet had significantly higher plasma total homocysteine concentrations, higher liver AdoHcy, and lower AdoMet/AdoHcy ratios and this was accompanied by lower liver maternal H19 DMD allele methylation, lower liver Igf2 mRNA levels, and loss of Igf2 maternal imprinting. In contrast, we found no significant differences in AdoMet and AdoHcy in brain between the diet groups but F1 Cast x Cbs+/- mice fed the HH diet had higher maternal H19 DMD methylation and lower H19 mRNA levels in brain. A significant negative relationship between AdoHcy and maternal H19 DMD allele methylation was found in liver but not in brain. These findings suggest the relationship of AdoMet and AdoHcy to gene-specific DNA methylation is tissue-specific and that changes in DNA methylation can occur without changes in AdoMet and AdoHcy.
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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 | 0.000 | 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) | 0.000 | 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".