Imperial College London


Faculty of MedicineDepartment of Medicine

Chair in Nutrition and Dietetics



+44 (0)20 3313 8037g.frost Website




Commonwealth BiuldingHammersmith HospitalHammersmith Campus






BibTex format

author = {Yin, X and Gibbons, H and Rundle, M and Frost, G and McNulty, BA and Nugent, AP and Walton, J and Flynn, A and Gibney, MJ and Brennan, L},
doi = {10.3945/jn.117.252197},
journal = {J Nutr},
title = {Estimation of Chicken Intake by Adults Using Metabolomics-Derived Markers.},
url = {},
year = {2017}

RIS format (EndNote, RefMan)

AB - Background: Improved assessment of meat intake with the use of metabolomics-derived markers can provide objective data and could be helpful in clarifying proposed associations between meat intake and health.Objective: The objective of this study was to identify novel markers of chicken intake using a metabolomics approach and use markers to determine intake in an independent cohort.Methods: Ten participants [age: 62 y; body mass index (in kg/m(2)): 28.25] in the NutriTech food intake study consumed increasing amounts of chicken, from 88 to 290 g/d, in a 3-wk span. Urine and blood samples were analyzed by nuclear magnetic resonance and mass spectrometry, respectively. A multivariate data analysis was performed to identify markers associated with chicken intake. A calibration curve was built based on dose-response association using NutriTech data. A Bland-Altman analysis evaluated the agreement between reported and calculated chicken intake in a National Adult Nutrition Survey cohort.Results: Multivariate data analysis of postprandial and fasting urine samples collected in participants in the NutriTech study revealed good discrimination between high (290 g/d) and low (88 g/d) chicken intakes. Urinary metabolite profiles showed differences in metabolite levels between low and high chicken intakes. Examining metabolite profiles revealed that guanidoacetate increased from 1.47 to 3.66 mmol/L following increasing chicken intakes from 88 to 290 g/d (P < 0.01). Using a calibration curve developed from the NutriTech study, chicken intake was calculated through the use of data from the National Adult Nutrition Survey, in which consumers of chicken had a higher guanidoacetate excretion (0.70 mmol/L) than did nonconsumers (0.47 mmol/L; P < 0.01). A Bland-Altman analysis revealed good agreement between reported and calculated intakes, with a bias of -30.2 g/d. Plasma metabolite analysis demonstrated that 3-methylhistidine was a more suitable indicator of chicken intake tha
AU - Yin,X
AU - Gibbons,H
AU - Rundle,M
AU - Frost,G
AU - McNulty,BA
AU - Nugent,AP
AU - Walton,J
AU - Flynn,A
AU - Gibney,MJ
AU - Brennan,L
DO - 10.3945/jn.117.252197
PY - 2017///
TI - Estimation of Chicken Intake by Adults Using Metabolomics-Derived Markers.
T2 - J Nutr
UR -
UR -
ER -