Imperial College London
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DrEdwardChambers

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Non-Clinical Lecturer
 
 
 
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Contact

 

e.chambers

 
 
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Location

 

10.N4Commonwealth BuildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Willis:2020:10.3389/fnut.2020.561010,
author = {Willis, ND and Lloyd, AJ and Xie, L and Stiegler, M and Tailliart, K and Garcia-Perez, I and Chambers, ES and Beckmann, M and Draper, J and Mathers, JC},
doi = {10.3389/fnut.2020.561010},
journal = {Frontiers in Nutrition},
pages = {1--16},
title = {Design and characterisation of a randomized food intervention that mimics exposure to a typical UK diet to provide urine samples for identification and validation of metabolite biomarkers of food intake},
url = {http://dx.doi.org/10.3389/fnut.2020.561010},
volume = {7},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Poor dietary choices are major risk factors for obesity and non-communicable diseases, which places an increasing burden on healthcare systems worldwide. To monitor the effectiveness of healthy eating guidelines and strategies, there is a need for objective measures of dietary intake in community settings. Metabolites derived from specific foods present in urine samples can provide objective biomarkers of food intake (BFIs). Whilst the majority of biomarker discovery/validation studies have investigated potential biomarkers for single foods only, this study considered the whole diet by using menus that delivered a wide range of foods in meals that emulated conventional UK eating patterns. Fifty-one healthy participants (range 19–77 years; 57% female) followed a uniquely designed, randomized controlled dietary intervention, and provided spot urine samples suitable for discovery of BFIs within a real-world context. Free-living participants prepared and consumed all foods and drinks in their own homes and were asked to follow the protocols for meal consumption and home urine sample collection. This study also assessed the robustness, and impact on data quality, of a minimally invasive urine collection protocol. Overall the study design was well-accepted by participants and concluded successfully without any drop outs. Compliance for urine collection, adherence to menu plans, and observance of recommended meal timings, was shown to be very high. Metabolome analysis using mass spectrometry coupled with data mining demonstrated that the study protocol was well-suited for BFI discovery and validation. Novel, putative biomarkers for an extended range of foods were identified including legumes, curry, strongly-heated products, and artificially sweetened, low calorie beverages. In conclusion, aspects of this study design would help to overcome several current challenges in the development of BFI technology. One specific attribute was the examination of BFI generalizabil
AU  - Willis,ND
AU  - Lloyd,AJ
AU  - Xie,L
AU  - Stiegler,M
AU  - Tailliart,K
AU  - Garcia-Perez,I
AU  - Chambers,ES
AU  - Beckmann,M
AU  - Draper,J
AU  - Mathers,JC
DO  - 10.3389/fnut.2020.561010
EP  - 16
PY  - 2020///
SN  - 2296-861X
SP  - 1
TI  - Design and characterisation of a randomized food intervention that mimics exposure to a typical UK diet to provide urine samples for identification and validation of metabolite biomarkers of food intake
T2  - Frontiers in Nutrition
UR  - http://dx.doi.org/10.3389/fnut.2020.561010
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000584600500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.frontiersin.org/articles/10.3389/fnut.2020.561010/full
UR  - http://hdl.handle.net/10044/1/85200
VL  - 7
ER  -
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