ArticleAdvances in nutrition (Bethesda, Md.)2019
Perspective: Advancing Understanding of Population Nutrient-Health Relations via Metabolomics and Precision Phenotypes.
Article in Advances in nutrition (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Protection and Delivery of Phytochemicals from Passive Encapsulation to Guaranteed Self-Assembly Induced by Amyloid Template for Chronic Disease Prevention via Modulating Microbial-Host Crosstalk.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Association of Ultraprocessed Foods Intake with Untargeted Metabolomics Profiles in Adolescents and Young Adults in the DONALD Cohort Study.The Journal of nutrition · 2024Article
- Nutritional composition analysis in food images: an innovative Swin Transformer approach.Frontiers in nutrition · 2024Article
- Metabolomic profiles associated with physical activity in White and African American adult men.PloS one · 2023Article
- Bioactive compounds for human and planetary health.Frontiers in nutrition · 2023Review
- Nutrigenomics and Nutrigenetics Research in New Zealand, and Its Relevance and Application to Gastrointestinal Health.Nutrients · 2022Review
- Plasma B Vitamers: Population Epidemiology and Parent-Child Concordance in Children and Adults.Nutrients · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diet and lifestyle are vital to population health, but their true contribution is difficult to quantify using traditional methods. Nutrient-health relations are typically based on epidemiological associations that are assessed at the population level, traditionally using self-reported dietary and lifestyle data. Unfortunately, such measures are inherently inaccurate. New technologies such as metabolomics can measure nutritional and micronutrient profiles in body fluids, providing objective evaluation of nutritional status. A critical step toward accurate health prediction models would be the building of integrated repositories of nutritional measures combining subjective methods of reporting with objective metabolomics profiles and precise phenotypic data. Here we outline a roadmap to achieve this goal and discuss both the advantages and risks of this approach. We also highlight the uncertain associations between the complexity of high-dimensional data generated in 'omics research (along with the public confusion this may engender) and the rapid adoption of 'omics approaches by nutrition and health companies to develop nutritional products and services.
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Registered trials
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