Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

Genes and Diet in the Prevention of Chronic Diseases in Future Generations

Marica Franzago, Daniele Santurbano, Ester Vitacolonna, Liborio Stuppia

International Journal of Molecular Sciences · 2020

Read source ↗ All evidence

Summary

This narrative review synthesises the role of nutrigenetics, nutrigenomics and epigenetics in preventing chronic metabolic diseases. The authors argue that diet is a modifiable factor capable of interacting with the genome and epigenome to influence health and fertility across generations, and that epigenetic modifications induced by lifestyle and environmental factors can be reversed through dietary intervention. The work positions precision nutrition as a tool for tailoring prevention strategies to individual genetic profiles and for interrupting transgenerational cycles of metabolic disease.

Regional applicability

The review is global in scope and addresses fundamental mechanisms of gene–diet–disease interaction applicable to United Kingdom population health and precision medicine initiatives. However, specific dietary recommendations and genetic screening protocols would require tailoring to UK food environments, NHS policy and genomic medicine infrastructure.

Key measures

Gene-diet interactions, nutrigenetic variants, gene expression modulation, epigenetic modifications, intergenerational and transgenerational transmission of metabolic disease susceptibility

Outcomes reported

The review examined interactions between diet, genes and epigenetic modifications in the context of chronic disease prevention. It synthesised evidence on how nutrigenetic and nutrigenomic approaches can inform prevention of metabolic diseases including Type 2 diabetes, gestational diabetes, hypertension and cardiovascular disease, with potential transgenerational effects.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
System type
Human clinical
DOI
10.3390/ijms21072633
Catalogue ID
SNmqx9jtyv-yi6one

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Ask about this record, its theme or its relevance to UK farming and policy. Pulse AI uses selected catalogue evidence and cites the sources it draws on.