Nutritional redundancy in the human diet and its application in phenotype association studies.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
18 07 2023
18 07 2023
Historique:
received:
12
08
2022
accepted:
26
06
2023
medline:
21
7
2023
pubmed:
19
7
2023
entrez:
18
7
2023
Statut:
epublish
Résumé
Studying human dietary intake may help us identify effective measures to treat or prevent many chronic diseases whose natural histories are influenced by nutritional factors. Here, by examining five cohorts with dietary intake data collected on different time scales, we show that the food intake profile varies substantially across individuals and over time, while the nutritional intake profile appears fairly stable. We refer to this phenomenon as 'nutritional redundancy' and attribute it to the nested structure of the food-nutrient network. This network enables us to quantify the level of nutritional redundancy for each diet assessment of any individual. Interestingly, this nutritional redundancy measure does not strongly correlate with any classical healthy diet scores, but its performance in predicting healthy aging shows comparable strength. Moreover, after adjusting for age, we find that a high nutritional redundancy is associated with lower risks of cardiovascular disease and type 2 diabetes.
Identifiants
pubmed: 37463879
doi: 10.1038/s41467-023-39836-0
pii: 10.1038/s41467-023-39836-0
pmc: PMC10354046
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
4316Subventions
Organisme : NHLBI NIH HHS
ID : K25 HL166208
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL089856
Pays : United States
Informations de copyright
© 2023. The Author(s).
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