A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia

The δ<sup>13</sup>C value of blood is a novel proposed biomarker of added sugars (AS) intake. AS prediction equations using either a single- (δ<sup>13</sup>C) or dual-isotope model (δ<sup>13</sup>C and δ<sup>15</sup>N) were previously developed in an a...

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Autores principales: Valisa E. Hedrick, Tanya M. Halliday, Brenda M. Davy, Jamie M. Zoellner, A. Hope Jahren
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/087ab973d0fe45ebaae36b0578b370d7
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spelling oai:doaj.org-article:087ab973d0fe45ebaae36b0578b370d72021-11-25T18:34:34ZA Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia10.3390/nu131138422072-6643https://doaj.org/article/087ab973d0fe45ebaae36b0578b370d72021-10-01T00:00:00Zhttps://www.mdpi.com/2072-6643/13/11/3842https://doaj.org/toc/2072-6643The δ<sup>13</sup>C value of blood is a novel proposed biomarker of added sugars (AS) intake. AS prediction equations using either a single- (δ<sup>13</sup>C) or dual-isotope model (δ<sup>13</sup>C and δ<sup>15</sup>N) were previously developed in an adult population with high AS intake living in southwest Virginia (reference group). The purpose of this investigation was to test the δ<sup>13</sup>C single- and δ<sup>13</sup>C and δ<sup>15</sup>N dual-isotope prediction equations for AS intake in adults with a lower mean AS intake and different demographic characteristics (test group). The blood samples for the reference (<i>n</i> = 257 for single-isotope, <i>n</i> = 115 for dual-isotope) and test groups (<i>n</i> = 56) were analyzed for δ<sup>13</sup>C and δ<sup>15</sup>N values using natural abundance stable isotope mass spectrometry and were compared to reported dietary AS intake. When the δ<sup>13</sup>C single-isotope equation was applied to the test group, predicted AS intake was not significantly different from reported AS intake (mean difference ± standard error = −3.6 ± 5.5 g, Z = −0.55, <i>p</i> = 0.51). When testing the dual-isotope equation, predicted AS was different from reported AS intake (mean difference ± SEM = 13.0 ± 5.4 g, Z = −2.95, <i>p</i> = 0.003). δ<sup>13</sup>C value was able to predict AS intake using a blood sample within this population subset. The single-isotope prediction equation may be an alternative method to assess AS intake and is more objective, cost-feasible, and efficient than traditional dietary assessment methods. However, more research is needed to assess this biomarker with rigorous study designs such as controlled feeding.Valisa E. HedrickTanya M. HallidayBrenda M. DavyJamie M. ZoellnerA. Hope JahrenMDPI AGarticlebiomarkeradded sugarsdietary assessmentcarbon stable isotopesNutrition. Foods and food supplyTX341-641ENNutrients, Vol 13, Iss 3842, p 3842 (2021)
institution DOAJ
collection DOAJ
language EN
topic biomarker
added sugars
dietary assessment
carbon stable isotopes
Nutrition. Foods and food supply
TX341-641
spellingShingle biomarker
added sugars
dietary assessment
carbon stable isotopes
Nutrition. Foods and food supply
TX341-641
Valisa E. Hedrick
Tanya M. Halliday
Brenda M. Davy
Jamie M. Zoellner
A. Hope Jahren
A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
description The δ<sup>13</sup>C value of blood is a novel proposed biomarker of added sugars (AS) intake. AS prediction equations using either a single- (δ<sup>13</sup>C) or dual-isotope model (δ<sup>13</sup>C and δ<sup>15</sup>N) were previously developed in an adult population with high AS intake living in southwest Virginia (reference group). The purpose of this investigation was to test the δ<sup>13</sup>C single- and δ<sup>13</sup>C and δ<sup>15</sup>N dual-isotope prediction equations for AS intake in adults with a lower mean AS intake and different demographic characteristics (test group). The blood samples for the reference (<i>n</i> = 257 for single-isotope, <i>n</i> = 115 for dual-isotope) and test groups (<i>n</i> = 56) were analyzed for δ<sup>13</sup>C and δ<sup>15</sup>N values using natural abundance stable isotope mass spectrometry and were compared to reported dietary AS intake. When the δ<sup>13</sup>C single-isotope equation was applied to the test group, predicted AS intake was not significantly different from reported AS intake (mean difference ± standard error = −3.6 ± 5.5 g, Z = −0.55, <i>p</i> = 0.51). When testing the dual-isotope equation, predicted AS was different from reported AS intake (mean difference ± SEM = 13.0 ± 5.4 g, Z = −2.95, <i>p</i> = 0.003). δ<sup>13</sup>C value was able to predict AS intake using a blood sample within this population subset. The single-isotope prediction equation may be an alternative method to assess AS intake and is more objective, cost-feasible, and efficient than traditional dietary assessment methods. However, more research is needed to assess this biomarker with rigorous study designs such as controlled feeding.
format article
author Valisa E. Hedrick
Tanya M. Halliday
Brenda M. Davy
Jamie M. Zoellner
A. Hope Jahren
author_facet Valisa E. Hedrick
Tanya M. Halliday
Brenda M. Davy
Jamie M. Zoellner
A. Hope Jahren
author_sort Valisa E. Hedrick
title A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
title_short A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
title_full A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
title_fullStr A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
title_full_unstemmed A Single-Carbon Stable Isotope Ratio Model Prediction Equation Can Estimate Self-Reported Added Sugars Intake in an Adult Population Living in Southwest Virginia
title_sort single-carbon stable isotope ratio model prediction equation can estimate self-reported added sugars intake in an adult population living in southwest virginia
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/087ab973d0fe45ebaae36b0578b370d7
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