In The British journal of nutrition
As individuals seek increasingly individualised nutrition and lifestyle guidance, numerous apps and nutrition programs have emerged. However, complex individual variations in dietary behaviours, genotypes, gene expression and composition of the microbiome are increasingly recognised. Advances in digital tools and artificial intelligence can help individuals more easily track nutrient intakes and identify nutritional gaps. However, the influence of these nutrients on health outcomes can vary widely among individuals depending upon life stage, genetics and microbial composition. For example, folate may elicit favourable epigenetic effects on brain development during a critical developmental time window of pregnancy. Genes affecting vitamin B12 metabolism may lead to cardiometabolic traits that play an essential role in the context of obesity. Finally, an individual's gut microbial composition can determine their response to dietary fibre interventions during weight loss. These recent advances in understanding can lead to a more complete and integrated approach to promoting optimal health through personalised nutrition, in clinical practise settings and for individuals in their daily lives. The purpose of this review is to summarise presentations made during the DSM Science and Technology Award Symposium at the 13th European Nutrition Conference, which focused on personalised nutrition and novel technologies for health in the modern world.
Matusheski Nathan, Caffrey Aoife, Christensen Lars, Mezgec Simon, Surendran Shelini, Hjorth Mads F, McNulty Helene, Pentieva Kristina, Roager Henrik M, Seljak Barbara Koroušić, Vimaleswaran Karani Santhanakrishnan, Remmers Marcus, Peter Szabolcs
Bacteroides, Personalised nutrition, Prevotella, automated food image recognition, cardiometabolic disease, cognition, deep learning, enterotype, epigenetics, folate, genetics, obesity, pregnancy, vitamin B12