Personalized or precision nutrition combines genetic, epigenetic, genomic, metagenomic, metabolomic, behavioral, and sociocultural data to comprehend better and employ health interventions. Such in-depth measurements need the use of high-throughput multi-omics platforms as well as integrative big data systems. These methods provide detailed genotypic and phenotypic perceptions of human diet variation, ushering in a new era of personalized nutrition interventions. In addition, developments in big data and machine learning have cleared the path for applications in precision nutrition. The greatest challenge in clinical nutrition is converting the ever-expanding results of basic nutritional science into meaningful and clinically appropriate dietary recommendations. Numerous factors, ranging from nutrigenomics to deep phenotyping, must be considered when designing personalized and objective nutritional solutions for individuals or population subgroups.
In a world where obesity and other related metabolic disorders, as well as cardiovascular diseases, are rising, individualized nutrition counseling is a promising strategy for preventing and managing these pathological modalities. This Research Topic aims to collect, appraise, and publish recent works and advances in personalized nutrition, as well as potential applications and future research needs, by analyzing the most relevant factors from the genome to phenome, influencing an individual's response to lifestyle/nutritional interventions. Especially the importance of the novel applications of nutrigenomics, metagenomic, and metabolomics profiling will be sought after, as will the most recent developments in the analysis and monitoring of dietary habits, food behaviors, physical activity, and deep phenotyping. Finally, findings from studies demonstrating new ways to successfully implement personalized nutrition approaches will be welcomed.
Examples of research works include, but are not limited to, the following topics:
• Individual differences in response to varying foods, nutrients, or bioactive compounds in a chronic disease population
• novel biomarkers that can be modulated by foods, nutrients, or bioactive compounds and their associations with chronic diseases
• signal transduction pathways, biomarkers, and molecular mechanisms by which personalized nutrition influences chronic diseases' onset, progression, and management
• relationships or modifications of the gut microbiota and their functional crosstalk with personalized diet in health and disease
• biomarker communication and metabolic or genetic phenotypes impact on preventing and treating diet-related chronic diseases
We welcome state-of-the-art submissions of brief research reports, original research, case reports, clinical trials, full- or mini-reviews, data reports, general commentary, perspectives, methods, and code. We hope you will consider our Research Topic as a venue for disseminating the most recent findings and ideas on personalized nutrition and nutrigenomics, as well as their roles in physiology and disease.
Personalized or precision nutrition combines genetic, epigenetic, genomic, metagenomic, metabolomic, behavioral, and sociocultural data to comprehend better and employ health interventions. Such in-depth measurements need the use of high-throughput multi-omics platforms as well as integrative big data systems. These methods provide detailed genotypic and phenotypic perceptions of human diet variation, ushering in a new era of personalized nutrition interventions. In addition, developments in big data and machine learning have cleared the path for applications in precision nutrition. The greatest challenge in clinical nutrition is converting the ever-expanding results of basic nutritional science into meaningful and clinically appropriate dietary recommendations. Numerous factors, ranging from nutrigenomics to deep phenotyping, must be considered when designing personalized and objective nutritional solutions for individuals or population subgroups.
In a world where obesity and other related metabolic disorders, as well as cardiovascular diseases, are rising, individualized nutrition counseling is a promising strategy for preventing and managing these pathological modalities. This Research Topic aims to collect, appraise, and publish recent works and advances in personalized nutrition, as well as potential applications and future research needs, by analyzing the most relevant factors from the genome to phenome, influencing an individual's response to lifestyle/nutritional interventions. Especially the importance of the novel applications of nutrigenomics, metagenomic, and metabolomics profiling will be sought after, as will the most recent developments in the analysis and monitoring of dietary habits, food behaviors, physical activity, and deep phenotyping. Finally, findings from studies demonstrating new ways to successfully implement personalized nutrition approaches will be welcomed.
Examples of research works include, but are not limited to, the following topics:
• Individual differences in response to varying foods, nutrients, or bioactive compounds in a chronic disease population
• novel biomarkers that can be modulated by foods, nutrients, or bioactive compounds and their associations with chronic diseases
• signal transduction pathways, biomarkers, and molecular mechanisms by which personalized nutrition influences chronic diseases' onset, progression, and management
• relationships or modifications of the gut microbiota and their functional crosstalk with personalized diet in health and disease
• biomarker communication and metabolic or genetic phenotypes impact on preventing and treating diet-related chronic diseases
We welcome state-of-the-art submissions of brief research reports, original research, case reports, clinical trials, full- or mini-reviews, data reports, general commentary, perspectives, methods, and code. We hope you will consider our Research Topic as a venue for disseminating the most recent findings and ideas on personalized nutrition and nutrigenomics, as well as their roles in physiology and disease.
