Harnessing Diet and Gene Expression Insights Through a Centralized Nutrigenomics Database to Improve Public Health

Shriya Samudrala, Ijeoma Ezengwa, Fahmida Hai, Rubayat Khan, Saif Nirzhor, Don Roosan

2025

Abstract

Nutrigenomics is an emerging field that explores the intricate interaction between genes and diet. This study aimed to develop a comprehensive database to help clinicians and patients understand the connections between genetic disorders, associated genes, and tailored nutritional recommendations. The database was built through an extensive review of primary journal articles and includes detailed information on gene characteristics, such as gene expression, location, descriptions, and their interactions with diseases and nutrition. The data suggest that a patient's food intake can either increase or decrease the expression of genes related to specific diseases. These findings underscore the potential of nutrition to modify gene expression and reduce the risk of chronic diseases. The study highlights the transformative role nutrigenomics could play in medicine by enabling clinicians to offer personalized dietary recommendations based on a patient’s genetic profile. Future research should focus on validating the database in clinical counselling to further refine its practical applications.

Paper Citation

in Harvard Style

Samudrala S., Ezengwa I., Hai F., Khan R., Nirzhor S. and Roosan D. (2025). Harnessing Diet and Gene Expression Insights Through a Centralized Nutrigenomics Database to Improve Public Health. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 291-298. DOI: 10.5220/0013457600003967

in Bibtex Style

@conference{data25,
author={Shriya Samudrala and Ijeoma Ezengwa and Fahmida Hai and Rubayat Khan and Saif Nirzhor and Don Roosan},
title={Harnessing Diet and Gene Expression Insights Through a Centralized Nutrigenomics Database to Improve Public Health},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={291-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013457600003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Harnessing Diet and Gene Expression Insights Through a Centralized Nutrigenomics Database to Improve Public Health
SN - 978-989-758-758-0
AU - Samudrala S.
AU - Ezengwa I.
AU - Hai F.
AU - Khan R.
AU - Nirzhor S.
AU - Roosan D.
PY - 2025
SP - 291
EP - 298
DO - 10.5220/0013457600003967
PB - SciTePress