Nutritional aspects of epigenetic inheritance
Bibliographic record
Abstract
The impact of diet and environmental factors on genes concerned with epigenetic inheritance and the mechanism of evolution has grown significantly beyond the Modern Synthesis period. Epigenetic inheritance is the passing of phenotypic change to subsequent generations in ways that are outside the genetic code of DNA. Recently, polymorphisms of the human Delta-5 (fatty acid desaturase, FADS1) and Delta-6 (FADS2) desaturase genes have been described as being associated with the level of several long-chain n-3 and n-6 polyunsaturated fatty acids (PUFAs) in serum phospholipids. Increased consumption of refined starches and sugar increases the generation of superoxide anion in the tissues and free fatty acids (FFA) in the blood. There is an increased amount and activity of nuclear factor-κB (NF-κB), a transcriptional factor regulating the activity of at least 125 genes, most of which are pro-inflammatory. The consumption of glucose may be associated with an increase in 2 other pro-inflammatory transcription factors: activating protein-1 (AP-1), and early growth response protein-1 (Egr-1). AP-1 regulates the transcription of matrix metallo-proteinases and Egr-1 modulates the transcription of tissue factor and plasminogen activator inhibitor-1. It is possible that a complex set of factors, including nutritional factors, come into play during epigenetic inheritance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".