The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Recent research has focused on the study of the epigenetic role of nutrition as a tool which is expected to introduce new perspectives in the field of disease prevention and management. Although maternal nutrition is one of the best-studied mechanisms of epigenetic modifications of the fetus/newborn, less is known on the impact of childhood/adolescent nutrition on the regulation of epigenetic mecha-nisms after the first year of life. The aim of the present study was the assessment of the epigenetic role of nutrition in the health and development of children and adolescents. METHODS: A systematic review was performed according to the Preferred Reported Items for Systematic Reviews and Meta-analyses guidelines in five databases (PubMed, Cochrane, Science Direct, Scopus, and Google Scholar) up to 31 October 2024, which yielded 17 eligible studies. The Newcastle-Ottawa Scale and the Cochrane Collabora-tion Risk of Bias-2 tool were used for the evaluation of risk of bias in observational studies and randomized trials, respectively. RESULTS: Three studies investigated the epi-genetic modifications due to lifestyle interventions combining changes both in diet and physical activity; the remaining 14 studies examined the role of dietary nutrients in the regulation of epigenetic mechanisms in various health conditions, such as Angelman's syndrome, parenteral nutrition in Intensive Care Units, attention deficit hyperactivity disorder, risk of cardiovascular diseases, asthma or food sensitization, obesity, insulin resistance, and type 2 diabetes or evaluated epigenetic markers as new tools for the comprehension and prediction of the participants' response to nutritional interven-tions. CONCLUSIONS: The important impact of diet on the regulation of epigenetic mech-anisms and the expression of various genes and gene pathways could be utilized for personalized nutritional interventions in various pediatric health conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".