Nutrition Reviews Special Collection on Precision Nutrition
Organized by:
Saroja Voruganti, University of North Carolina, USA Associate Editor
Krista Varady, University of Illinois Chicago, USA Associate Editor
Paul Higgins, Atlantic Technological University, Ireland, Guest Editor
Maria Tejero, National Institute of Medical Genomics, Mexico, Guest Editor
In response to the 2020–2030 Strategic Plan for NIH Nutrition Research, Nutrition Reviews called this Special Collection of reviews on Precision Nutrition to address “genetics, dietary habits and eating patterns, circadian rhythms, health status, socioeconomic and psychosocial characteristics, food environments, physical activity, and the microbiome” as they relate to targeting improvement in nutritional status of health for specific people and populations. We hope you find this a useful resource, and we encourage you to submit your excellent reviews on this and related topics to Nutrition Reviews.
A note on procedure: Peer review off all collection papers was handled by Nutrition Reviews editors, not the Guest Editors. All articles went through the typical rigorous peer review process of Nutrition Reviews and were required to reach the same acceptance criteria as regular articles in the journal.
Karen D Corbin, PhD, RD , Daria Igudesman, PhD, RD , Steven R Smith, MD , Karsten Zengler, PhD , Rosa Krajmalnik-Brown, PhD

The field of precision nutrition aims to develop dietary approaches based on individual biological factors such as genomics or the gut microbiota. The gut microbiota, which is the highly individualized and complex community of microbes residing in the colon, is a key contributor to human physiology.
Manahil M Bineid, Eduard F Ventura, Aryan Samidoust, Venkatesan Radha, Ranjit Mohan Anjana, Vasudevan Sudha, Gemma E Walton, Viswanathan Mohan, Karani Santhanakrishnan Vimaleswaran

Recent data from the South Asian subregion have raised concern about the dramatic increase in the prevalence of metabolic diseases, which are influenced by genetic and lifestyle factors.
Victor de la O, Edwin Fernández-Cruz, Alberto Valdés, Alejandro Cifuentes, Janette Walton, J Alfredo Martínez

To conduct an exhaustive scoping search of existing literature, incorporating diverse bibliographic sources to elucidate the relationships between metabolite biomarkers in human fluids and dietary intake.
Mrunalini Lotankar, Noora Houttu, Kati Mokkala, Kirsi Laitinen

Diet may influence the gut microbiota and subsequently affect the host’s health. Recent developments in methods analyzing the composition and function of the gut microbiota allow a deeper understanding of diet–gut microbiota relationships. A state-of-the-art methodology, shotgun metagenomics sequencing, offers...
Cornelie Nienaber-Rousseau

Noncommunicable diseases (NCDs) are influenced by the interplay between genetics and environmental exposures, particularly diet. However, many healthcare professionals, including nutritionists and dietitians, have limited genetic background and, therefore, they may lack understanding of gene–environment interactions (GxEs) studies. Even researchers...
Luciana C Holzbach, Paula N Brandão-Lima, Graziela B S Duarte, Marcelo M Rogero, Cristiane Cominetti

Nutrition and genetics have individual roles in systemic arterial hypertension (SAH); however, they can interact, influencing the regulation of blood pressure (BP) levels. The aim of this study was to evaluate the available evidence regarding gene–nutrient interactions in modulating BP...
Peng Jiao, PhD, Huizhen Lu, MD, Lizhuang Hao, A Allan Degen, PhD, Jianbo Cheng, PhD, Zongjun Yin, PhD, Shengyong Mao, PhD, Yanfeng Xue, PhD

Maternal nutrition during pregnancy regulates the offspring’s metabolic homeostasis, including insulin sensitivity and the metabolism of glucose and lipids. The fetus undergoes a crucial period of plasticity in the uterus; metabolic changes in the fetus during pregnancy caused by maternal...
Cristina Álvarez-Martín, Francisco Félix Caballero, Rocio de la Iglesia, Elena Alonso-Aperte

The melanocortin-4 receptor gene (MC4R) is associated with a higher risk of obesity by the presence of the C allele in rs17782313, but the mechanisms are not clear.