Diets, nutrients, genes and the microbiome: Recent advances in personalised nutrition: Recent advances in personalised nutrition

Nathan Matusheski, Aoife Caffrey, Lars Christensen, Simon Mezgec, Shelini Surendran, Mads F. Hjorth, H McNulty, K. Pentieva, Henrik M. Roager, Barbara Koroušić Seljak, Karani Santhanakrishnan Vimaleswaran, Marcus Remmers, Szabolcs Peter

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
17 Downloads (Pure)

Abstract

As individuals seek increasingly individualised nutrition and lifestyle guidance, numerous apps and nutrition programmes 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 practice 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.

Original languageEnglish
Number of pages9
JournalBRITISH JOURNAL OF NUTRITION
Early online date29 Jan 2021
DOIs
Publication statusE-pub ahead of print - 29 Jan 2021

Keywords

  • Personalised nutrition
  • automated food image recognition
  • deep learning
  • cognition
  • epigenetics
  • folate
  • pregnancy
  • genetics
  • vitamin B12
  • cardiometabolic disease
  • obesity
  • enterotype
  • Prevotella
  • Bacteroides
  • Obesity
  • Folate
  • Deep learning
  • Vitamin B
  • Epigenetics
  • Microbiome

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