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Related Experiment Video

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Classifying Individuals Into a Dietary Pattern Based on Metabolomic Data.

Orla Prendiville1,2, Janette Walton3,4, Albert Flynn3

  • 1UCD School of Agriculture and Food Science, UCD Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.

Molecular Nutrition & Food Research
|April 17, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a metabolomic model to classify dietary patterns, finding it reproducible in a separate group. The model shows potential for future nutrition research by linking metabolites to eating habits.

Keywords:
biomarkersdietary patternsmetabolomicsreproducibility

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Area of Science:

  • Metabolomics
  • Nutritional Science
  • Biomarker Discovery

Background:

  • Dietary patterns significantly influence health outcomes.
  • Accurate classification of dietary patterns is crucial for nutritional research.
  • Metabolomic data offers a novel approach to objectively assess dietary intake.

Purpose of the Study:

  • To develop and validate a metabolomic-based model for classifying individuals into distinct dietary patterns.
  • To assess the reproducibility and stability of the developed dietary pattern classification model.
  • To explore the potential of metabolomics in nutrition research for objective dietary assessment.

Main Methods:

  • K-means cluster analysis was used to derive dietary patterns from metabolomic data.
  • Nutrient biomarkers were analyzed to differentiate between identified dietary patterns.
  • The model was validated in an independent cohort (A-DIET Confirm) across four time points.

Main Results:

  • Four distinct dietary patterns were identified: moderately unhealthy, convenience, moderately healthy, and prudent.
  • The moderately unhealthy and convenience patterns exhibited lower adherence to healthy eating indices (AHEI, AMDS) compared to healthier patterns.
  • The dietary pattern classification model demonstrated good reproducibility and stability in the independent cohort.

Conclusions:

  • A multivariate metabolomic model can effectively classify individuals into dietary patterns.
  • The model's reproducibility across multiple time points in an independent cohort supports its utility in nutrition research.
  • Metabolomic profiling provides a promising avenue for objective dietary assessment and pattern identification.