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Addressing the pitfalls when designing intervention studies to discover and validate biomarkers of habitual dietary intake

Authors
  • Lloyd, AJ
  • Willis, ND
  • Wilson, T
  • Zubair, H
  • Chambers, E
  • Garcia-Perez, I
  • Xie, L
  • Tailliart, K
  • Beckmann, M
  • Mathers, JC
  • Draper, J
Publication Date
Apr 19, 2019
Source
UPCommons. Portal del coneixement obert de la UPC
Keywords
License
Unknown
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Abstract

Introduction Dietary exposure monitoring within populations is reliant on self-reported measures such as Food Frequency Questionnaires and diet diaries. These methods often contain inaccurate information due to participant misreporting, non-compliance and bias. Urinary metabolites derived from individual foods could provide additional objective indicators of dietary exposure. For biomarker approaches to have utility it is essential that they cover a wide-range of commonly consumed foods and the methodology works in a real-world environment. Objectives To test that the methodology works in a real-world environment and to consider the impact of the major sources of likely variance; particularly complex meals, different food formulations, processing and cooking methods, as well as the dynamics of biomarker duration in the body. Methods We designed and tested a dietary exposure biomarker discovery and validation strategy based on a food intervention study involving free-living individuals preparing meals and collecting urine samples at home. Two experimental periods were built around three consecutive day menu plans where all foods and drinks were provided (n = 15 and n = 36). Results The experimental design was validated by confirming known consumption biomarkers in urinary samples after the first menu plan. We tested biomarker performance with different food formulations and processing methods involving meat, wholegrain, fruits and vegetables. Conclusion It was demonstrated that spot urine samples, together with robust dietary biomarkers, despite major sources of variance, could be used successfully for dietary exposure monitoring in large epidemiological studies.

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