Title |
Estimation of Chicken Intake by Adults Using Metabolomics-Derived Markers
|
---|---|
Published in |
Journal of Nutrition, October 2017
|
DOI | 10.3945/jn.117.252197 |
Pubmed ID | |
Authors |
Xiaofei Yin, Helena Gibbons, Milena Rundle, Gary Frost, Breige A McNulty, Anne P Nugent, Janette Walton, Albert Flynn, Michael J Gibney, Lorraine Brennan |
Abstract |
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 than 1-methylhistidine.Conclusions: Guanidoacetate was successfully identified and confirmed as a marker of chicken intake, and its measurement in fasting urine samples could be used to determine chicken intake in a free-living population. This trial was registered at clinicaltrials.gov as NCT01684917. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 4 | 67% |
United Kingdom | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 3 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Scientists | 1 | 17% |
Members of the public | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 22% |
Student > Ph. D. Student | 7 | 15% |
Student > Master | 6 | 13% |
Student > Doctoral Student | 2 | 4% |
Other | 2 | 4% |
Other | 5 | 11% |
Unknown | 14 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 15% |
Medicine and Dentistry | 6 | 13% |
Chemistry | 5 | 11% |
Biochemistry, Genetics and Molecular Biology | 3 | 7% |
Engineering | 2 | 4% |
Other | 5 | 11% |
Unknown | 18 | 39% |