Decoding the Foodome: Molecular Networks Connecting Diet and Health.
Level 5 - mechanism / opinion, no new human data
Narrative conceptual review without systematic review methodology or primary human experimental data.
PubMed 39207880 · doi:10.1146/annurev-nutr-062322-030557
What was done
This narrative review examines the concept of the "foodome"—the full chemical diversity of food beyond standard tracked macronutrients and micronutrients. The authors discuss methodological frameworks, network medicine, and artificial intelligence tools used to map interactions between complex food molecules and biological disease pathways.
What was found
The abstract reports no quantitative empirical data or effect sizes. It presents a conceptual framework emphasizing that national nutritional databases capture only a fraction of food chemistry ("nutritional dark matter") and argues that network science is necessary to evaluate the combinatorial effects of food compounds on health and disease states.
Why it matters
It highlights computational and network-based approaches needed to move beyond single-nutrient models toward comprehensive molecular profiling of dietary exposures in health research.
Limits
As a conceptual review, it provides no original experimental or clinical data, no quantitative synthesis, and no formal systematic review search criteria.
Cited by
- supports The New England Journal of Medicine published an article on the 'dark matter' of nutrition describing 139,000 distinct compounds in food from phytochemicals that regulate human biology.