Novel strategies for improving dietary exposure assessment: Multiple-data fusion is a more accurate measure than the traditional single-biomarker approach

Mar Garcia-Aloy, Montserrat Rabassa, Patricia Casas-Agustench, Nicole Hidalgo-Liberona, Rafael Llorach, Cristina Andres-Lacueva*

*Corresponding author for this work

Research output: Contribution to journalComment/debate

Abstract

Background Accurate measurement of food intake is the cornerstone of understanding the links between diet and optimal health status or risk of disease. The utilization of metabolomics approaches is revolutionizing the field of dietary assessment by associating metabolic profiles with intake of specific foods or dietary patterns and/or investigating human health status in nutritional trials. Combining dietary biomarkers with conventional dietary assessment methods is considered a potential strategy for tackling the complexity of dietary exposure fingerprinting. Scope and approach We discuss existing approaches among dietary assessment methods and dietary biomarkers. A combined approach taking into consideration data from dietary questionnaires with measurements of dietary biomarkers is emphasized. Key findings and conclusions Trends in novel strategies for improving dietary exposure assessment will be influenced by the discovery and validation of dietary exposure biomarkers. Among different strategies, multi-metabolite biomarker panels enable more reliable estimation of dietary exposure than does the traditional single-biomarker approach. Therefore, a combined approach using data from dietary questionnaires along with measurements of dietary biomarkers is considered an excellent strategy for improving dietary exposure assessment.

Original languageEnglish
Pages (from-to)220-229
Number of pages10
JournalTrends in Food Science and Technology
Volume69
DOIs
Publication statusPublished - Nov 2017

ASJC Scopus subject areas

  • Biotechnology
  • Food Science

Keywords

  • Biomarkers
  • Dietary assessment
  • Dietary questionnaires
  • Metabolomics
  • Multi-metabolite biomarker model
  • Nutrimetabolomics

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