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Published on: April 19, 2024
Connecting nutrition composition measures to biomedical research
Jeremy J Jay1, Alexa Sanders2, Robert W Reid2
1Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, NC, USA. Jeremy.Jay@uncc.edu.
This study bridges the gap between food nutrient data and biomedical research by mapping food chemicals to biological pathways. This integration is crucial for advancing precision nutrition and understanding diet's role in health.
Area of Science:
- Nutritional biochemistry
- Cheminformatics
- Precision medicine
Background:
- Biomedical research advances disease understanding through 'omics' technologies, leading to precision medicine.
- Current treatments primarily focus on drugs and biologics, with limited understanding of nutrient metabolism's impact on health.
- Existing nutrient databases lack chemical precision and standardized nomenclature compared to life sciences research.
Purpose of the Study:
- To integrate food nutrient data with biomedical research resources.
- To establish standardized chemical identifiers for nutrients.
- To facilitate novel applications in precision nutrition.
Main Methods:
- Manually curated nutrient identifiers from USDA databases.
- Mapped identifiers to PubChem for chemical information.
- Linked to PubMed literature via Medical Subject Headings.
- Integrated with biological pathways using the Chemical Entities of Biological Interest ontology.
Main Results:
- A curated dataset linking food nutrients to chemical and biological information.
- Standardized nomenclature for nutrient identification across disciplines.
- Foundation for linking dietary intake to metabolic pathways and health outcomes.
Conclusions:
- Bridging the gap between food composition and biomedical data is essential for precision nutrition.
- Standardized chemical identifiers enable better integration of dietary information into health research.
- This work supports a more comprehensive understanding of nutrient metabolism and its health implications.
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