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Decoding the Foodome : Molecular Networks Connecting Diet and Health
Title / Series / Name
Publication Volume
Publication Issue
Pages
Editors
Keywords
artificial intelligence
complexity
machine learning
network medicine
network science
nutrition
systems pharmacology
Medicine (miscellaneous)
Nutrition and Dietetics
SDG 3 - Good Health and Well-being
complexity
machine learning
network medicine
network science
nutrition
systems pharmacology
Medicine (miscellaneous)
Nutrition and Dietetics
SDG 3 - Good Health and Well-being
URI
https://hdl.handle.net/20.500.14018/27116
Abstract
Diet, a modifiable risk factor, plays a pivotal role in most diseases, from cardiovascular disease to type 2 diabetes mellitus, cancer, and obesity. However, our understanding of the mechanistic role of the chemical compounds found in food remains incomplete. In this review, we explore the “dark matter” of nutrition, going beyond the macro- and micronutrients documented by national databases to unveil the exceptional chemical diversity of food composition. We also discuss the need to explore the impact of each compound in the presence of associated chemicals and relevant food sources and describe the tools that will allow us to do so. Finally, we discuss the role of network medicine in understanding the mechanism of action of each food molecule. Overall, we illustrate the important role of network science and artificial intelligence in our ability to reveal nutrition’s multifaceted role in health and disease.
Topic
Publisher
Place of Publication
Type
Journal article
Date
2024-08-29
Language
ISBN
Identifiers
10.1146/annurev-nutr-062322-030557