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Paul Franks

Paul Franks

Principal investigator

Paul Franks

Human postprandial responses to food and potential for precision nutrition

Author

  • Sarah E. Berry
  • Ana M. Valdes
  • David A. Drew
  • Francesco Asnicar
  • Mohsen Mazidi
  • Jonathan Wolf
  • Joan Capdevila
  • George Hadjigeorgiou
  • Richard Davies
  • Haya Al Khatib
  • Christopher Bonnett
  • Sajaysurya Ganesh
  • Elco Bakker
  • Deborah Hart
  • Massimo Mangino
  • Jordi Merino
  • Inbar Linenberg
  • Patrick Wyatt
  • Jose M. Ordovas
  • Christopher D. Gardner
  • Linda M. Delahanty
  • Andrew T. Chan
  • Nicola Segata
  • Paul W. Franks
  • Tim D. Spector

Summary, in English

Metabolic responses to food influence risk of cardiometabolic disease, but large-scale high-resolution studies are lacking. We recruited n = 1,002 twins and unrelated healthy adults in the United Kingdom to the PREDICT 1 study and assessed postprandial metabolic responses in a clinical setting and at home. We observed large inter-individual variability (as measured by the population coefficient of variation (s.d./mean, %)) in postprandial responses of blood triglyceride (103%), glucose (68%) and insulin (59%) following identical meals. Person-specific factors, such as gut microbiome, had a greater influence (7.1% of variance) than did meal macronutrients (3.6%) for postprandial lipemia, but not for postprandial glycemia (6.0% and 15.4%, respectively); genetic variants had a modest impact on predictions (9.5% for glucose, 0.8% for triglyceride, 0.2% for C-peptide). Findings were independently validated in a US cohort (n = 100 people). We developed a machine-learning model that predicted both triglyceride (r = 0.47) and glycemic (r = 0.77) responses to food intake. These findings may be informative for developing personalized diet strategies. The ClinicalTrials.gov registration identifier is NCT03479866.

Department/s

  • Genetic and Molecular Epidemiology
  • EpiHealth: Epidemiology for Health
  • EXODIAB: Excellence in Diabetes Research in Sweden

Publishing year

2020

Language

English

Pages

964-973

Publication/Series

Nature Medicine

Volume

26

Issue

6

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Nutrition and Dietetics

Status

Published

Research group

  • Genetic and Molecular Epidemiology

ISBN/ISSN/Other

  • ISSN: 1078-8956