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Current Insights into Genome-Based Personalized Nutrition Technology

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrigenetics and Nutrigenomics".

Deadline for manuscript submissions: 20 January 2026 | Viewed by 1824

Special Issue Editor


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Guest Editor
Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, 17671 Athens, Greece
Interests: genetics; nutrigenetics; personalized nutrition; artificial intelligence (AI); machine learning (ML); non-communicable diseases (NCDs); obesity; metabolic dysfunction-associated steatotic liver disease (MASLD)
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Special Issue Information

Dear Colleagues,

Genome-based personalized nutrition technology represents a transformative approach to optimizing dietary interventions through the integration of genetic information. Advances in genomic sequencing and bioinformatics have enabled the identification of genetic variations that influence metabolism, nutrient absorption, and the risk of disease. These insights facilitate the development of tailored nutritional strategies that enhance health outcomes and manage conditions such as obesity, diabetes, and cardiovascular disease. By addressing individual dietary responses, genome-based nutrition moves beyond traditional one-size-fits-all guidelines toward precision-driven, preventive healthcare. As genomic tools become more accessible and cost-effective, this technology could improve the health of the population while advancing the personalization of dietary recommendations in clinical and public health contexts.

This Special Issue focuses on the latest advancements, applications, and challenges in genome-based personalized nutrition, highlighting its role in precision healthcare and public health. We invite researchers to share their findings, methodologies, and perspectives to enhance our understanding and implementation of interventions in this field.

Prof. Dr. George Dedoussis
Guest Editor

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Keywords

  • genetics
  • nutrigenetics
  • personalized nutrition
  • artificial intelligence (AI)
  • machine learning (ML)
  • non-communicable diseases (NCDs)
  • obesity
  • metabolic dysfunction-associated steatotic liver disease (MASLD)

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Published Papers (2 papers)

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Research

11 pages, 475 KB  
Article
Analysis of the Perception of Nutrigenetics in Conventional Nutritional Practice: A Survey-Based Study Applied to Dietitians from Mexico
by Diana Alejandra Vela-Vásquez, Ivan Delgado-Enciso, Janet Diaz-Martinez and Ana María Sifuentes-Rincón
Nutrients 2025, 17(17), 2776; https://doi.org/10.3390/nu17172776 - 27 Aug 2025
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Abstract
Background/Objectives: Nutrigenetics has emerged as a promising tool to advance personalized nutrition strategies. This study aimed to analyze the scope and perception of Mexican dietitians regarding nutritional genomics with an emphasis on nutrigenetics’ use in clinical practice. Methods: A survey was conducted online [...] Read more.
Background/Objectives: Nutrigenetics has emerged as a promising tool to advance personalized nutrition strategies. This study aimed to analyze the scope and perception of Mexican dietitians regarding nutritional genomics with an emphasis on nutrigenetics’ use in clinical practice. Methods: A survey was conducted online among dietitians in Mexico to assess their educational background, awareness of nutrigenetic testing, use in practice, and interest in further training through 33 questions. Results: One hundred and thirty participants from states across six Mexican regions completed the survey, and most of respondents had a bachelor’s degree. The analysis showed that while most respondents were familiar with the concepts of nutrigenomics and nutrigenetics, 92.3% did not incorporate genetic testing into their practice; the main barriers of their use were misinformation, limited access to reliable resources, and ethical concerns surrounding genetic testing. Although 86.2% expressed interest in learning about nutrigenetics, only 31.5% were willing to invest in further training. Social media and non-academic sources were important sources of information, raising concerns about their inaccurate content and highlighting their importance in completing the curricula. Patients’ demand for genetic testing is limited and directed by disease prevention interests. Conclusions: Nutrigenetics is currently an area with limited practical application among Mexican dietitians; however, it is perceived as a valuable tool for future daily practice. The gap between perception and application underscores the need to integrate nutrigenetics into undergraduate curricula and to provide accessible, evidence-based professional development; these are essential to promote the ethical and effective use of nutrigenetics and support the transition toward personalized nutrition. Full article
(This article belongs to the Special Issue Current Insights into Genome-Based Personalized Nutrition Technology)
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14 pages, 972 KB  
Article
Assessing the Knowledge and Beliefs of Greek Dietitians and Nutritionists on Nutritional Genomics: A Survey-Based Study
by Ioanna Panagiota Kalafati, Theodora Alexandrou, Evangelia Mentsiou-Nikolaou, Michael Chourdakis and George V. Dedoussis
Nutrients 2025, 17(7), 1107; https://doi.org/10.3390/nu17071107 - 21 Mar 2025
Cited by 1 | Viewed by 662
Abstract
Background/Objectives: The field of Nutritional Genomics represents a growing area of interest among dietitians and nutritionists. However, knowledge gaps persist globally, limiting the effective application of this science. This study aims to evaluate the demographic characteristics, knowledge levels, and perspectives of Greek [...] Read more.
Background/Objectives: The field of Nutritional Genomics represents a growing area of interest among dietitians and nutritionists. However, knowledge gaps persist globally, limiting the effective application of this science. This study aims to evaluate the demographic characteristics, knowledge levels, and perspectives of Greek dietitians and nutritionists regarding Nutritional Genomics. Methods: A survey was conducted among 155 Greek dietitians and nutritionists from diverse educational and professional backgrounds. A 25-item questionnaire was designed to assess knowledge in Nutritional Genomics, with reliability measured by Cronbach’s Alpha (α = 0.867). Statistical analyses, including chi-square tests and regression modeling, were employed to explore associations between knowledge scores [S (total), E (easy questions), and H (hard questions) scores] and demographic or professional factors. Participants’ views on the clinical utility and future implications of Nutritional Genomics were also assessed. Results: On average, participants replied correctly to 57.7% (±21.7%) of the questions, with significant differences observed based on education level, employment status, and prior interest in genetics. Women demonstrated higher S and E scores compared to men (p = 0.046 and p = 0.006, respectively), while younger participants (26–35 years) outperformed those over 45 years (p = 0.019). Despite moderate knowledge levels, 76.8% believed Nutritional Genomics could benefit their clients, and 77.4% expressed interest in specializing in this field. Conclusions: Greek dietitians and nutritionists exhibited moderate knowledge in Nutritional Genomics, similar to international findings. Education level, age, and prior exposure to genetics significantly influenced knowledge scores. These results underscore the need for the integration of Nutritional Genomics into dietetic curricula and continuing professional education. Full article
(This article belongs to the Special Issue Current Insights into Genome-Based Personalized Nutrition Technology)
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