Uncovering the nutritional landscape of food

PloS One
Seunghyeon KimPan-Jun Kim

Abstract

Recent progresses in data-driven analysis methods, including network-based approaches, are revolutionizing many classical disciplines. These techniques can also be applied to food and nutrition, which must be studied to design healthy diets. Using nutritional information from over 1,000 raw foods, we systematically evaluated the nutrient composition of each food in regards to satisfying daily nutritional requirements. The nutrient balance of a food was quantified and termed nutritional fitness; this measure was based on the food's frequency of occurrence in nutritionally adequate food combinations. Nutritional fitness offers a way to prioritize recommendable foods within a global network of foods, in which foods are connected based on the similarities of their nutrient compositions. We identified a number of key nutrients, such as choline and α-linolenic acid, whose levels in foods can critically affect the nutritional fitness of the foods. Analogously, pairs of nutrients can have the same effect. In fact, two nutrients can synergistically affect the nutritional fitness, although the individual nutrients alone may not have an impact. This result, involving the tendency among nutrients to exhibit correlations in their abundances...Continue Reading

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Citations

Jun 19, 2019·Asian-Australasian Journal of Animal Sciences·Sawankamol NoidadChanporn Chaosap
Jul 16, 2017·Scientific Reports·Partho SenJens Nielsen
Dec 17, 2020·Comprehensive Reviews in Food Science and Food Safety·Dandan TaoHao Feng

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