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Precision nutrition for cardiometabolic diseases
Univ Copenhagen, Denmark; Harvard TH Chan Sch Publ Hlth, MA USA.
Chalmers Univ Technol, Sweden.
Chalmers Univ Technol, Sweden.
Weizmann Inst Sci, Israel.
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2025 (English)In: Nature Medicine, ISSN 1078-8956, E-ISSN 1546-170X, Vol. 31, no 5, p. 1444-1453Article, review/survey (Refereed) Published
Abstract [en]

Precision nutrition is a vibrant and rapidly evolving field of scientific research and innovation with the potential to deliver health, societal and economic benefits by improving healthcare delivery and policies. Advances in deep phenotyping technologies, digital tools and artificial intelligence have made possible early proof-of-concept research that expands the understanding of within- and between-person variability in responses to diet. These studies illustrate the promise of precision nutrition to complement the traditional 'one size fits all' dietary guidelines, which, while considering broad life-stage and disease-specific nutritional requirements, often lack the granularity to account fully for individual variations in nutritional needs and dietary responses. Despite these developments, however, considerable challenges remain before precision nutrition can be implemented on a broader scale. This Review examines the current state of precision nutrition research, with a focus on its application to reducing the incidence and burden of cardiometabolic diseases. We critically examine the evidence base, explore the potential benefits and discuss the challenges and opportunities ahead.

Place, publisher, year, edition, pages
NATURE PORTFOLIO , 2025. Vol. 31, no 5, p. 1444-1453
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:liu:diva-213571DOI: 10.1038/s41591-025-03669-9ISI: 001479086400001PubMedID: 40307513Scopus ID: 2-s2.0-105003943828OAI: oai:DiVA.org:liu-213571DiVA, id: diva2:1958182
Note

Funding Agencies|European Commission (EC) [NNF19OC0056246]; Novo Nordisk Foundation [0094134]; EFSD/Novo Nordisk Foundation Future Leaders Award [HORIZON-EIC-2023-PATHFINDERCHALLENGES-01-101161509]; European Union [DNRF161]; Danish National Research Fund [KAW 2020.0239]; SciLifeLab & Wallenberg Data Driven Life Science Program [2019-01348]; Swedish Research Council [ERC-CoG_NASCENT-681742]; European Commission [15-0067]; Swedish Foundation for Strategic Research [101124230]; European Research Council [GPR BRAIN_2030]; University of Bordeaux [ANR-20-CE14-0046, ANR-24-CE16-5198]; Agencie Nationale Recherche

Available from: 2025-05-14 Created: 2025-05-14 Last updated: 2026-01-29

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