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  • Berry, Sarah E.King's College London (author)

Human postprandial responses to food and potential for precision nutrition

  • Article/chapterEnglish2020

Publisher, publication year, extent ...

  • 2020-06-11
  • Springer Science and Business Media LLC,2020
  • 10 s.

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:9f93c9e9-8bf2-4c5f-8dd9-31a36c014c31
  • https://lup.lub.lu.se/record/9f93c9e9-8bf2-4c5f-8dd9-31a36c014c31URI
  • https://doi.org/10.1038/s41591-020-0934-0DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Valdes, Ana M.University of Nottingham (author)
  • Drew, David A.Massachusetts General Hospital (author)
  • Asnicar, FrancescoUniversity of Trento (author)
  • Mazidi, MohsenKing's College London (author)
  • Wolf, JonathanZoe Global Limited (author)
  • Capdevila, JoanZoe Global Limited (author)
  • Hadjigeorgiou, GeorgeZoe Global Limited (author)
  • Davies, RichardZoe Global Limited (author)
  • Al Khatib, HayaKing's College London (author)
  • Bonnett, ChristopherZoe Global Limited (author)
  • Ganesh, SajaysuryaZoe Global Limited (author)
  • Bakker, ElcoZoe Global Limited (author)
  • Hart, DeborahKing's College London (author)
  • Mangino, MassimoKing's College London (author)
  • Merino, JordiMassachusetts General Hospital,Broad Institute,Rovira i Virgili University (URV)(Swepub:lu)jo8048me (author)
  • Linenberg, InbarZoe Global Limited (author)
  • Wyatt, PatrickZoe Global Limited (author)
  • Ordovas, Jose M.Tufts University,Madrid Institute For Advanced Studies (IMDEA) Food Institute (author)
  • Gardner, Christopher D.Stanford University (author)
  • Delahanty, Linda M.Massachusetts General Hospital (author)
  • Chan, Andrew T.Massachusetts General Hospital (author)
  • Segata, NicolaUniversity of Trento (author)
  • Franks, Paul W.Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University,King's College London(Swepub:lu)med-plf (author)
  • Spector, Tim D.King's College London (author)
  • King's College LondonUniversity of Nottingham (creator_code:org_t)

Related titles

  • In:Nature Medicine: Springer Science and Business Media LLC26:6, s. 964-9731078-89561546-170X

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