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The "Virtual Digital Twins" Concept in Precision Nutrition
Kalliopi Gkouskou1,2, Ioannis Vlastos1, Petros Karkalousos3
1Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Advances in Nutrition (Bethesda, Md.)
|August 10, 2020
Summary
Personalized nutrition, incorporating genetics and health data, can create a "virtual digital twin" for tailored dietary guidance. This approach aims to advance healthy aging and prevent diseases like obesity.
Area of Science:
- Nutritional science
- Genomics
- Personalized medicine
Background:
- Nutritional and lifestyle changes are crucial for healthy aging and disease prevention.
- Individual responses to nutrients are influenced by genetic, metabolic, and gut microbial factors.
- Technological advancements enable the integration of diverse data for personalized health strategies.
Purpose of the Study:
- To explore the concept of a
- virtual digital twin
- for personalized nutrition.
Main Methods:
- Integrating genetic information with longitudinal metabolomic, immune, behavioral, and gut microbial data.
- Utilizing bioclinical variables to define an individual's digital replica.
- Conceptualizing a future of highly individualized preventative dietary interventions.
Main Results:
- A digital twin model can be created by combining comprehensive individual data.
- This model can guide nutrition in a highly personalized manner.
- Potential to revolutionize obesity management and support healthy aging.
Conclusions:
- A
- virtual digital twin
- , built on integrated biological and lifestyle data, offers a novel approach to personalized nutrition.
- This model holds significant promise for managing obesity, its comorbidities, and promoting healthy aging.
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