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Precision Nutrition for Population Health

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutritional Epidemiology".

Deadline for manuscript submissions: closed (5 April 2024) | Viewed by 13555

Special Issue Editors


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Guest Editor
Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
Interests: nutrition for precision health; inflammation; infectious disease; epidemiology; diagnostics; maternal and child health; global health

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Guest Editor
Department of Mathematical Sciences, United States Military Academy, West Point, NY 10996, USA
Interests: physical activity; differential equations; nutrition; obesity; exercise; clinical nutrition; body composition; metabolism; nutrition assessment; human nutrition; childhood obesity; childhood/pediatric obesity; energy balance; statistics,number theory; physiology; anthropometrics; abstract algebra; number sequences; functional analysis

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Co-Guest Editor
Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA
Interests: nutrition for precision health; inflammation; infectious disease; epidemiology; immune function; gut microbiome; maternal and child health; global health

Special Issue Information

Dear Colleagues,

Precision nutrition, as an expansion of precision medicine, is the next frontier of nutritional science and the focus of the National Institutes of Health Strategic Plan for Nutrition for 2020–2030. It is a unifying and holistic approach to develop comprehensive and dynamic nutritional recommendations for both individual and population health by accounting for variables, such as individual genetics, dietary habits and eating patterns, circadian rhythms, socioeconomic and psychosocial characteristics, environments, physical activity, metabolomics, and the gut microbiome. Understanding the role of precision nutrition in population health across all settings, with varying access to clinical, laboratory, and financial resources, is critical to improving health and addressing the high burden of nutrition-related morbidity and mortality globally.

In this Special Issue on precision nutrition for population health, we welcome submissions focusing on the role of precision nutrition, including assessing nutrition status using novel methods, as well as AI-related approaches for tailoring diets. This includes original research, systematic reviews and meta-analyses.

Dr. Saurabh Mehta
Prof. Dr. Diana M. Thomas
Dr. Samantha L. Huey
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • personalized nutrition
  • nutrition deficiency
  • chronic disease
  • infection
  • low-resource settings
  • obesity
  • artificial intelligence
  • machine learning

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Published Papers (3 papers)

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Research

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19 pages, 2941 KiB  
Article
Precision Nutrition Opportunities to Help Mitigate Nutrition and Health Challenges in Low- and Middle-Income Countries: An Expert Opinion Survey
by Jacquelyn R. Bedsaul-Fryer, Kesso G. van Zutphen-Küffer, Jimena Monroy-Gomez, Diane E. Clayton, Breda Gavin-Smith, Céline Worth, Christian Nils Schwab, Mathilda Freymond, Anna Surowska, Laís Bhering Martins, Christina Senn-Jakobsen and Klaus Kraemer
Nutrients 2023, 15(14), 3247; https://doi.org/10.3390/nu15143247 - 21 Jul 2023
Cited by 5 | Viewed by 3636
Abstract
Precision nutrition involves several data collection methods and tools that aim to better inform nutritional recommendations and improve dietary intake, nutritional status, and health outcomes. While the benefits of collecting precise data and designing well-informed interventions are vast, it is presently unclear whether [...] Read more.
Precision nutrition involves several data collection methods and tools that aim to better inform nutritional recommendations and improve dietary intake, nutritional status, and health outcomes. While the benefits of collecting precise data and designing well-informed interventions are vast, it is presently unclear whether precision nutrition is a relevant approach for tackling nutrition challenges facing populations in low- and middle-income countries (LMIC), considering infrastructure, affordability, and accessibility of approaches. The Swiss Food & Nutrition Valley (SFNV) Precision Nutrition for LMIC project working group assessed the relevance of precision nutrition for LMIC by first conducting an expert opinion survey and then hosting a workshop with nutrition leaders who live or work in LMIC. The experts were interviewed to discuss four topics: nutritional problems, current solutions, precision nutrition, and collaboration. Furthermore, the SFNV Precision Nutrition for LMIC Virtual Workshop gathered a wider group of nutrition leaders to further discuss precision nutrition relevance and opportunities. Our study revealed that precision public health nutrition, which has a clear focus on the stratification of at-risk groups, may offer relevant support for nutrition and health issues in LMIC. However, funding, affordability, resources, awareness, training, suitable tools, and safety are essential prerequisites for implementation and to equitably address nutrition challenges in low-resource communities. Full article
(This article belongs to the Special Issue Precision Nutrition for Population Health)
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Review

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19 pages, 2756 KiB  
Review
Precision Nutrition Unveiled: Gene–Nutrient Interactions, Microbiota Dynamics, and Lifestyle Factors in Obesity Management
by Samy Mansour, Saif M. I. Alkhaaldi, Ashwin F. Sammanasunathan, Saleh Ibrahim, Joviana Farhat and Basem Al-Omari
Nutrients 2024, 16(5), 581; https://doi.org/10.3390/nu16050581 - 20 Feb 2024
Cited by 7 | Viewed by 5203
Abstract
Background: Obesity is a complex metabolic disorder that is associated with several diseases. Recently, precision nutrition (PN) has emerged as a tailored approach to provide individualised dietary recommendations. Aim: This review discusses the major intrinsic and extrinsic components considered when applying PN during [...] Read more.
Background: Obesity is a complex metabolic disorder that is associated with several diseases. Recently, precision nutrition (PN) has emerged as a tailored approach to provide individualised dietary recommendations. Aim: This review discusses the major intrinsic and extrinsic components considered when applying PN during the management of obesity and common associated chronic conditions. Results: The review identified three main PN components: gene–nutrient interactions, intestinal microbiota, and lifestyle factors. Genetic makeup significantly contributes to inter-individual variations in dietary behaviours, with advanced genome sequencing and population genetics aiding in detecting gene variants associated with obesity. Additionally, PN-based host-microbiota evaluation emerges as an advanced therapeutic tool, impacting disease control and prevention. The gut microbiome’s composition regulates diverse responses to nutritional recommendations. Several studies highlight PN’s effectiveness in improving diet quality and enhancing adherence to physical activity among obese patients. PN is a key strategy for addressing obesity-related risk factors, encompassing dietary patterns, body weight, fat, blood lipids, glucose levels, and insulin resistance. Conclusion: PN stands out as a feasible tool for effectively managing obesity, considering its ability to integrate genetic and lifestyle factors. The application of PN-based approaches not only improves current obesity conditions but also holds promise for preventing obesity and its associated complications in the long term. Full article
(This article belongs to the Special Issue Precision Nutrition for Population Health)
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Other

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10 pages, 1275 KiB  
Perspective
The Value of an Ecological Approach to Improve the Precision of Nutritional Assessment: Addressing Contributors and Implications of the “Multiple Burdens of Malnutrition”
by Daniel J. Raiten, Alison L. Steiber, Omar Dary and Andrew A. Bremer
Nutrients 2024, 16(3), 421; https://doi.org/10.3390/nu16030421 - 31 Jan 2024
Cited by 3 | Viewed by 3814
Abstract
Globally, children are exposed to multiple health risks associated with diet and nutrition. Rather than simply being a condition of having too much or too little food, malnutrition is more a syndrome comprising multiple burdens of coexisting and reciprocal malnutrition, infection, or other [...] Read more.
Globally, children are exposed to multiple health risks associated with diet and nutrition. Rather than simply being a condition of having too much or too little food, malnutrition is more a syndrome comprising multiple burdens of coexisting and reciprocal malnutrition, infection, or other conditions. Importantly, children with such syndromes (e.g., stunting and anemia, which are neither specific nor necessarily sensitive to nutritional status) are more likely to also have irreversible functional outcomes such as poor growth, impaired immune function, or cognitive delays. The global health community has identified nutrition-related targets (e.g., Sustainable Development Goals (SDGs) and World Health Organization (WHO) Global Nutrition Targets) that, for multiple reasons, are difficult to address. Moreover, as the complexity of the global health context increases with persistent pandemics of infectious diseases and the rising prevalence of noncommunicable diseases, there is a growing appreciation that conditions selected as nutrition/health targets indeed represent syndromes for which nutritional status serves as both an input and outcome. In recognition of the impact of these combined challenges and the role of the multiple manifestations of malnutrition, we suggest an approach to nutritional assessment that is intended to improve the precision of context-specific, equitable approaches to health promotion, disease prevention, and treatment. Full article
(This article belongs to the Special Issue Precision Nutrition for Population Health)
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