Journal article
Stable Isotope Models of Sugar Intake Using Hair, Red Blood Cells, and Plasma, but Not Fasting Plasma Glucose, Predict Sugar Intake in a Yup'ik Study Population
The Journal of nutrition, Vol.144(1), pp.75-80
2014
DOI: 10.3945/jn.113.182113
PMCID: PMC3861795
PMID: 24198311
Abstract
Objectively measured biomarkers will help to resolve the controversial role of sugar intake in the etiology of obesity and related chronic diseases. We recently validated a dual-isotope model based on RBC carbon (δ13C) and nitrogen (δ15N) isotope ratios that explained a large percentage of the variation in self-reported sugar intake in a Yup'ik study population. Stable isotope ratios can easily be measured from many tissues, including RBCs, plasma, and hair; however, it is not known how is otopic models of sugar intake compare among these tissues. Here, we compared self-reported sugar intake with models based on RBCs, plasma, and hair δ13C and δ15N in Yup'ik people. We also evaluated associations of sugar intake with fasting plasma glucose d13C. Finally, we evaluated relations between δ13C and δ15N values in hair, plasma, RBCs, and fasting plasma glucose to allow comparison of isotope ratios across tissue types.Models using RBCs, plasma, or hair isotope ratios explained similar amounts of variance in total sugar, added sugar, and sugar-sweetened beverage intake (~53%, 48%, and 34%, respectively); however, the association with δ13C was strongest for models based on RBCs and hair. There were no associations with fasting plasma glucose δ13C (R2 = 0.03). The δ13C and δ15N values of RBCs, plasma, and hair showed strong, positive correlations; the slopes of these relations did not differ from 1. This study demonstrates that RBC, plasma, and hair isotope ratios predict sugar intake and provides data that will allow comparison of studies using different sample types. ©2014 American Society for Nutrition.
Details
- Title: Subtitle
- Stable Isotope Models of Sugar Intake Using Hair, Red Blood Cells, and Plasma, but Not Fasting Plasma Glucose, Predict Sugar Intake in a Yup'ik Study Population
- Creators
- Sarah H Nash - Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United StatesAlan R Kristal - Fred Hutchinson Cancer Research Center, Seattle, WA, United StatesScarlett E Hopkins - Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United StatesBert B Boyer - Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United StatesDiane M O'BRIEN - Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, United States
- Resource Type
- Journal article
- Publication Details
- The Journal of nutrition, Vol.144(1), pp.75-80
- Publisher
- American Society for Nutrition
- DOI
- 10.3945/jn.113.182113
- PMID
- 24198311
- PMCID
- PMC3861795
- ISSN
- 0022-3166
- eISSN
- 1541-6100
- Grant note
- DOI: 10.13039/100000097, name: National Center for Research Resources; DOI: 10.13039/100000057, name: National Institute of General Medical Sciences, award: P20RR016430; DOI: 10.13039/100000062, name: National Institute of Diabetes and Digestive and Kidney Diseases, award: R01DK07442; DOI: 10.13039/100000097, name: National Center for Research Resources
- Language
- English
- Date published
- 2014
- Academic Unit
- Epidemiology; Center for Social Science Innovation
- Record Identifier
- 9984214716502771
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