Nutritional redundancy in the human diet and its application in phenotype association studies
Abstract 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 i...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-39836-0 |
| _version_ | 1797558452230291456 |
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| author | Xu-Wen Wang Yang Hu Giulia Menichetti Francine Grodstein Shilpa N. Bhupathiraju Qi Sun Xuehong Zhang Frank B. Hu Scott T. Weiss Yang-Yu Liu |
| author_facet | Xu-Wen Wang Yang Hu Giulia Menichetti Francine Grodstein Shilpa N. Bhupathiraju Qi Sun Xuehong Zhang Frank B. Hu Scott T. Weiss Yang-Yu Liu |
| author_sort | Xu-Wen Wang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-10T17:30:39Z |
| format | Article |
| id | doaj.art-677892ae2ace40e7ad69d3091857f7c6 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-10T17:30:39Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-677892ae2ace40e7ad69d3091857f7c62023-11-20T10:01:51ZengNature PortfolioNature Communications2041-17232023-07-0114111610.1038/s41467-023-39836-0Nutritional redundancy in the human diet and its application in phenotype association studiesXu-Wen Wang0Yang Hu1Giulia Menichetti2Francine Grodstein3Shilpa N. Bhupathiraju4Qi Sun5Xuehong Zhang6Frank B. Hu7Scott T. Weiss8Yang-Yu Liu9Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolDepartment of Nutrition, Harvard T.H. Chan School of Public HealthChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolRush Alzheimer’s Disease Center, Department of Internal Medicine, Rush Medical College, Rush UniversityChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolAbstract 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.https://doi.org/10.1038/s41467-023-39836-0 |
| spellingShingle | Xu-Wen Wang Yang Hu Giulia Menichetti Francine Grodstein Shilpa N. Bhupathiraju Qi Sun Xuehong Zhang Frank B. Hu Scott T. Weiss Yang-Yu Liu Nutritional redundancy in the human diet and its application in phenotype association studies Nature Communications |
| title | Nutritional redundancy in the human diet and its application in phenotype association studies |
| title_full | Nutritional redundancy in the human diet and its application in phenotype association studies |
| title_fullStr | Nutritional redundancy in the human diet and its application in phenotype association studies |
| title_full_unstemmed | Nutritional redundancy in the human diet and its application in phenotype association studies |
| title_short | Nutritional redundancy in the human diet and its application in phenotype association studies |
| title_sort | nutritional redundancy in the human diet and its application in phenotype association studies |
| url | https://doi.org/10.1038/s41467-023-39836-0 |
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