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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: 5 August 2025 | Viewed by 461

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 (1 paper)

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Research

14 pages, 972 KiB  
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
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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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