Precision nutrition represents an emerging paradigm within nutritional science that integrates nutrigenomics, nutrigenetics, metabolomics, microbiomics, and lifestyle data to tailor dietary recommendations to individual needs. Chronic and metabolic diseases such as obesity, type 2 diabetes, and cardiovascular conditions remain global health challenges, often exacerbated by generalized dietary guidelines that overlook interindividual variability. Recent research underscores that individuals exhibit markedly different metabolic, hormonal, and molecular responses to identical dietary interventions. Advances in 'omics' technologies and digital phenotyping have begun to clarify these variations, revealing links between gut microbiota composition, gene-nutrient interactions, and metabolic flexibility. However, despite these scientific strides, substantial knowledge gaps exist regarding how to operationalize precision nutrition at scale, how to integrate multi-dimensional datasets into actionable clinical tools, and how socio-environmental factors modulate biological responses.
This Research Topic aims to uncover the mechanisms underlying individual differences in dietary responses and to bridge the gap between molecular insights and real-world nutritional applications. It seeks to elucidate how genetic predispositions, epigenetic regulation, microbiome diversity, and metabolic profiles can be leveraged to design precise, adaptable dietary interventions for chronic and metabolic diseases. The goal is to promote rigorous investigation into predictive biomarkers, intervention strategies, and digital tools that can improve disease prevention, patient outcomes, and long-term cardiometabolic health. By fostering cross-disciplinary collaboration among nutritionists, clinicians, data scientists, and behavioral researchers, this Research Topic endeavors to redefine the evidence base for next-generation nutritional medicine.
To gather further insights into precision-driven dietary personalization in chronic and metabolic diseases, we welcome articles addressing, but not limited to, the following themes:
Nutrigenomics and nutrigenetics: gene-nutrient interactions and their role in dietary response variability
Identification of molecular and metabolic predictors of individualized dietary outcomes
Integration of 'omics' data for personalized nutrition modeling
Role of the gut microbiome in shaping individual cardiometabolic responses
Digital and AI-driven tools for dietary monitoring and precision intervention
Clinical and epidemiological trials assessing individualized dietary strategies in chronic disease
Translational challenges and ethical considerations in implementing precision nutrition at scale
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Conceptual Analysis
Data Report
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Conceptual Analysis
Data Report
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: precision nutrition, nutrigenomics, nutrigenetics, metabolomics, microbiomics, gut microbiota, personalized nutrition, dietary interventions, chronic disease, metabolic disease, type 2 diabetes, obesity, cardiovascular disease, cardiometabolic health
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.