Effects of Maternal High Fat Diet and Milk-derived Exosome Supplementation on DNA Methyltransferase 1
Bibliographic record
Abstract
Maternal high fat diet (mHFD) exposure during perinatal life shapes offspring’s neurodevelopment trajectories. mHFD also influences the bioactive composition of maternal milk, including milk-derived exosomes (MDEs), nanovesicles that transport functional microRNAs (miRNA). miRNA-148/152 regulate DNA methyltransferase-1 (DNMT1), enzyme that catalyzes DNA methylation modifications, which in turn downregulates fat-mass and obesity-associated (Fto) gene via promoter hypermethylation. The main objectives of this thesis were: 1) examine the effects of mHFD exposure on DNMTs and Fto expressions in postnatal day 7 rats and 2) investigate MDE-supplementation effects on DNMTs and Fto expressions using a human microglia cell line. DNMT1 and Fto transcript abundances remained unchanged in the PVN and ventral hippocampus but decreased in the retroperitoneal fat of mHFD offspring. In microglia, MDE-supplementation resulted in increased DNMT1 expression only. These findings indicate that DNMT1 and Fto exhibit tissue-specific sensitivity to mHFD exposure in neonates, and that DNMT1 is altered by MDE-supplementation in microglia.
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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) | 0.002 | 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".