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Triangulating nutrigenomics, metabolomics and microbiomics toward personalized nutrition and healthy living
Open accessAbstract
The unique physiological and genetic characteristics of individuals influence their reactions to different dietary constituents and nutrients. This notion is the foundation of personalized nutrition. The field of nutrigenetics has witnessed significant progress in understanding the impact of genetic variants on macronutrient and micronutrient levels and the individual's responsiveness to dietary intake. These variants hold significant value in facilitating the development of personalized nutritional interventions, thereby enabling the effective translation from conventional dietary guidelines to genome-guided nutrition. Nevertheless, certain obstacles could impede the extensive implementation of individualized nutrition, which is still in its infancy, such as the polygenic nature of nutrition-related pathologies. Consequently, many disorders are susceptible to the collective influence of multiple genes and environmental interplay, wherein each gene exerts a moderate to modest effect. Furthermore, it is widely accepted that diseases emerge because of the intricate interplay between genetic predisposition and external environmental influences. In the context of this specific paradigm, the utilization of advanced "omic" technologies, including epigenomics, transcriptomics, proteomics, metabolomics, and microbiome analysis, in conjunction with comprehensive phenotyping, has the potential to unveil hitherto undisclosed hereditary elements and interactions between genes and the environment. This review aims to provide up-to-date information regarding the fundamentals of personalized nutrition, specifically emphasizing the complex triangulation interplay among microbiota, dietary metabolites, and genes. Furthermore, it highlights the intestinal microbiota's unique makeup, its influence on nutrigenomics, and the tailoring of dietary suggestions. Finally, this article provides an overview of genotyping versus microbiomics, focusing on investigating the potential applications of this knowledge in the context of tailored dietary plans that aim to improve human well-being and overall health.
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“On the other hand, nutrigenetics and nutrigenomics offer promising conceptual frameworks for understanding how genetic variants affect nutrient response and how diet can modulate gene expression [143,144].”
From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [143]
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Qiao, Y., Xiao, X., Yu, H., Zhang, J., Sohouli, M. H., Fatahi, S., & Guimarães, N. S. (2024) · Prostaglandins & Other Lipid Mediators · doi:10.1016/j.prostaglandins.2024.106921
Systems Biology Study on Bioactive Compounds
Garse, S., Thakur, V., Devarajan, S., Bhori, M., Jobby, R., Ravichandran, V., & Tungare, K. (2025) · Springer eBooks · doi:10.1007/978-981-96-3663-1_16
Personalized Nutrition: Engineering Dietary Recommendations
K, M. E. (2025) · NEWPORT INTERNATIONAL JOURNAL OF BIOLOGICAL AND APPLIED SCIENCES · doi:10.59298/nijbas/2025/6.2.91600
Modulating the Gut Microbiome with Foods and Food Supplements
Francino, M. P. (2025) · The microbiomes of humans, animals, plants, and the environment · doi:10.1007/978-3-031-93902-0_1
Ijabadeniyi, O. A., Aruwa, C. E., & Ajayeoba, T. A. (2025) · De Gruyter eBooks · doi:10.1515/9783111441238-001
Nutrigenomics and Its Applications
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Ramli, M. D. C., Abidin, Z. Z., Hamdan, A. N. B. A., & Umbar, G. S. A. (2025) · Nutritional neurosciences · doi:10.1007/978-981-95-1414-4_2
Basu, S., Dhar, G. A., Das, T., Chatterji, N., Adak, A., Bhuiyan, S., & Ganguli, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-26761-1.00015-6
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Prakash, D., Bisht, D., Manglik, I., & Verma, O. (2026) · Springer eBooks · doi:10.1007/978-981-95-4169-0_13 · Cited by 1
Paul-Chima, U. O. (2026) · Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine · doi:10.2174/0118756921410152251114053446
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Self-citationAheto, F., Granehäll, L., Nikoloudaki, O., Ben, M., Plattner, S., Gobbetti, M., Cagno, R. D., & Polo, A. (2026) · Food Bioscience · doi:10.1016/j.fbio.2026.108442
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Metadata
- Authors
- Lagoumintzis, G., & Patrinos, G. P.
- Affiliations
- University of Patras (GR)
- Corresponding author
- Lagoumintzis, George
- Patrinos, George P.
- Venue
- Human Genomics
- Published
- 2023-12-08
- Volume
- 17
- Issue
- 1
- Pages
- 109-109
- ISSN
- 1473-9542 (ISSN-L)
- 1479-7364
- PMC
- PMC10704648
- OpenAlex
- W4389463305
- Cited by
- 132
- References
- 264
- Citations by year
- 2026: 64 · 2025: 55 · 2024: 13
- FWCI
- 5.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Human Genomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Patras
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Keywords
- personalized nutrition, nutrigenomics, nutrigenetics, metabolomics, microbiome, gut microbiota, gene-environment interaction, polygenic traits, dietary metabolites, healthy living
- MeSH terms
- Healthy Lifestyle, Humans, Nutritional Status, Genetic Predisposition to Disease, Nutrigenomics, Metabolomics
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