NURECON: A Novel Online System for Determining Nutrition Requirements Based on Microbial Composition
Journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Pages
1-12
Date Issued
2024-01-01
Author(s)
Hu, Zhao Qi
Hung, Yuan Mao
Abstract
Dietary habits have been proven to have an impact on the microbial composition and health of the human gut. Over the past decade, researchers have discovered that gut microbiota can use nutrients to produce metabolites that have major implications for human physiology. However, there is no comprehensive system that specifically focuses on identifying nutrient deficiencies based on gut microbiota, making it difficult to interpret and compare gut microbiome data in the literature. This study proposes an analytical platform, NURECON, that can predict nutrient deficiency information in individuals by comparing their metagenomic information to a reference baseline. NURECON integrates a next-generation bacterial 16S rRNA analytical pipeline (QIIME2), metabolic pathway prediction tools (PICRUSt2 and KEGG), and a food compound database (FooDB) to enable the identification of missing nutrients and provide personalized dietary suggestions. Metagenomic information from total number of 287 healthy subjects was used to establish baseline microbial composition and metabolic profiles. The uploaded data is analyzed and compared to the baseline for nutrient deficiency assessment. Visualization results include gut microbial composition, related enzymes, pathways, and nutrient abundance. NURECON is a user-friendly online platform that provides nutritional advice to support dietitians' research or menu design. The system is freely available at https://nurecon.cgm.ntu.edu.tw/.
Subjects
16S rRNA | Bioinformatics | Chronic kidney disease | database | Databases | Enzymes | metagenomics | Microorganisms | precision nutrition | Task analysis | Taxonomy | user-friendly design | web-based system
SDGs
Publisher
Institute of Electrical and Electronics Engineers Inc.
Type
journal article