Thomas Wilson1, Isabel Garcia-Perez2, Joram M Posma2, Amanda J Lloyd1, Edward S Chambers3, Kathleen Tailliart1, Hassan Zubair1, Manfred Beckmann1, John C Mathers4, Elaine Holmes2, Gary Frost3, John Draper1. 1. Institute of Biological, Environmental, and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom. 2. Section of Biomolecular Medicine, Division of Integrative Systems Medicine and Digestive Diseases, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom. 3. Nutrition and Dietetic Research Group, Division of Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom. 4. Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.
Abstract
BACKGROUND: Measurement of multiple food intake exposure biomarkers in urine may offer an objective method for monitoring diet. The potential of spot and cumulative urine samples that have reduced burden on participants as replacements for 24-h urine collections has not been evaluated. OBJECTIVE: The aim of this study was to determine the utility of spot and cumulative urine samples for classifying the metabolic profiles of people according to dietary intake when compared with 24-h urine collections in a controlled dietary intervention study. METHODS: Nineteen healthy individuals (10 male, 9 female, aged 21-65 y, BMI 20-35 kg/m2) each consumed 4 distinctly different diets, each for 1 wk. Spot urine samples were collected ∼2 h post meals on 3 intervention days/wk. Cumulative urine samples were collected daily over 3 separate temporal periods. A 24-h urine collection was created by combining the 3 cumulative urine samples. Urine samples were analyzed with metabolite fingerprinting by both high-resolution flow infusion electrospray mass spectrometry (FIE-HRMS) and proton nuclear magnetic resonance spectroscopy (1H-NMR). Concentrations of dietary intake biomarkers were measured with liquid chromatography triple quadrupole mass spectrometry and by integration of 1H-NMR data. RESULTS: Cross-validation modeling with 1H-NMR and FIE-HRMS data demonstrated the power of spot and cumulative urine samples in predicting dietary patterns in 24-h urine collections. Particularly, there was no significant loss of information when post-dinner (PD) spot or overnight cumulative samples were substituted for 24-h urine collections (classification accuracies of 0.891 and 0.938, respectively). Quantitative analysis of urine samples also demonstrated the relation between PD spot samples and 24-h urines for dietary exposure biomarkers. CONCLUSIONS: We conclude that PD spot urine samples are suitable replacements for 24-h urine collections. Alternatively, cumulative samples collected overnight predict similarly to 24-h urine samples and have a lower collection burden for participants.
BACKGROUND: Measurement of multiple food intake exposure biomarkers in urine may offer an objective method for monitoring diet. The potential of spot and cumulative urine samples that have reduced burden on participants as replacements for 24-h urine collections has not been evaluated. OBJECTIVE: The aim of this study was to determine the utility of spot and cumulative urine samples for classifying the metabolic profiles of people according to dietary intake when compared with 24-h urine collections in a controlled dietary intervention study. METHODS: Nineteen healthy individuals (10 male, 9 female, aged 21-65 y, BMI 20-35 kg/m2) each consumed 4 distinctly different diets, each for 1 wk. Spot urine samples were collected ∼2 h post meals on 3 intervention days/wk. Cumulative urine samples were collected daily over 3 separate temporal periods. A 24-h urine collection was created by combining the 3 cumulative urine samples. Urine samples were analyzed with metabolite fingerprinting by both high-resolution flow infusion electrospray mass spectrometry (FIE-HRMS) and proton nuclear magnetic resonance spectroscopy (1H-NMR). Concentrations of dietary intake biomarkers were measured with liquid chromatography triple quadrupole mass spectrometry and by integration of 1H-NMR data. RESULTS: Cross-validation modeling with 1H-NMR and FIE-HRMS data demonstrated the power of spot and cumulative urine samples in predicting dietary patterns in 24-h urine collections. Particularly, there was no significant loss of information when post-dinner (PD) spot or overnight cumulative samples were substituted for 24-h urine collections (classification accuracies of 0.891 and 0.938, respectively). Quantitative analysis of urine samples also demonstrated the relation between PD spot samples and 24-h urines for dietary exposure biomarkers. CONCLUSIONS: We conclude that PD spot urine samples are suitable replacements for 24-h urine collections. Alternatively, cumulative samples collected overnight predict similarly to 24-h urine samples and have a lower collection burden for participants.
Authors: Joram M Posma; Isabel Garcia-Perez; Gary Frost; Ghadeer S Aljuraiban; Queenie Chan; Linda Van Horn; Martha Daviglus; Jeremiah Stamler; Elaine Holmes; Paul Elliott; Jeremy K Nicholson Journal: Nat Food Date: 2020-06-22
Authors: Manfred Beckmann; Thomas Wilson; Amanda J Lloyd; Duarte Torres; Ana Goios; Naomi D Willis; Laura Lyons; Helen Phillips; John C Mathers; John Draper Journal: Front Nutr Date: 2020-11-25
Authors: Sarah P Young; Aleena Khan; Ela Stefanescu; Andrea M Seifts; Ghada Hijazi; Stephanie Austin; Priya S Kishnani Journal: JIMD Rep Date: 2020-11-03
Authors: Nia Angharad Humphry; Thomas Wilson; Michael Christian Cox; Ben Carter; Marco Arkesteijn; Nicola Laura Reeves; Scott Brakenridge; Kathryn McCarthy; John Bunni; John Draper; Jonathan Hewitt Journal: JMIR Res Protoc Date: 2021-08-17
Authors: Naomi D Willis; Amanda J Lloyd; Long Xie; Martina Stiegler; Kathleen Tailliart; Isabel Garcia-Perez; Edward S Chambers; Manfred Beckmann; John Draper; John C Mathers Journal: Front Nutr Date: 2020-10-21
Authors: Helen M Lindqvist; Millie Rådjursöga; Terese Torstensson; Linda Jansson; Lars Ellegård; Anna Winkvist Journal: J Nutr Date: 2021-01-04 Impact factor: 4.798