Literature DB >> 23616504

The carbon isotope ratio of alanine in red blood cells is a new candidate biomarker of sugar-sweetened beverage intake.

Kyungcheol Choy1, Sarah H Nash, Alan R Kristal, Scarlett Hopkins, Bert B Boyer, Diane M O'Brien.   

Abstract

An objective dietary biomarker would help clarify the contribution of sugar-sweetened beverage (SSB) intake to obesity and chronic disease risk. Previous studies have proposed the carbon isotope ratio (δ(13)C) as a biomarker of SSB intake but found associations that were of modest size and confounded by other components of the diet. We investigated whether the δ(13)C values of nonessential amino acids (δ(13)CNEAA) in RBCs could provide valid biomarkers that are more specific to SSBs. We assessed the associations of RBC δ(13)CNEAA with SSB intake in a study population of 68 Yup'ik people, using gas chromatography/combustion/isotope ratio mass spectrometry to measure δ(13)CNEAA and four 24-h dietary recalls to assess intake. Among RBC nonessential amino acids, alanine δ(13)C (δ(13)Calanine) was strongly correlated with intake of SSBs, added sugar, and total sugar (r = 0.70, 0.59, and 0.57, respectively; P < 0.0001) but uncorrelated with other dietary sources of elevated δ(13)C. We also evaluated whether sweetener intake could be noninvasively assessed using hair δ(13)Calanine in a subset of the study population (n = 30). Hair δ(13)Calanine was correlated with RBC δ(13)Calanine (r = 0.65; P < 0.0001) and showed similar associations with SSB intake. These results show that δ(13)Calanine in RBCs provides a valid and specific biomarker of SSB intake for the Yup'ik population and suggest RBCs and hair δ(13)Calanine as candidate biomarkers of SSB intake for validation in the general U.S. population. Ultimately, these biomarkers could clarify our understanding of whether and how SSB intake contributes to chronic disease.

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Year:  2013        PMID: 23616504      PMCID: PMC3652884          DOI: 10.3945/jn.112.172999

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  41 in total

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Review 2.  The glucose-alanine cycle.

Authors:  P Felig
Journal:  Metabolism       Date:  1973-02       Impact factor: 8.694

3.  Aminoacids: essential and non-essential?

Authors:  A A Jackson
Journal:  Lancet       Date:  1983-05-07       Impact factor: 79.321

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Authors:  J M Bland; D G Altman
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5.  The contribution of glucose to alanine metabolism in man.

Authors:  C Waterhouse; J Keilson
Journal:  J Lab Clin Med       Date:  1978-11

6.  Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study.

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7.  Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women.

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Review 9.  Fructose, weight gain, and the insulin resistance syndrome.

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10.  National trends in soft drink consumption among children and adolescents age 6 to 17 years: prevalence, amounts, and sources, 1977/1978 to 1994/1998.

Authors:  Simone A French; Biing-Hwan Lin; Joanne F Guthrie
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  21 in total

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Journal:  J Nutr       Date:  2020-10-12       Impact factor: 4.798

2.  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.

Authors:  Sarah H Nash; Alan R Kristal; Scarlett E Hopkins; Bert B Boyer; Diane M O'Brien
Journal:  J Nutr       Date:  2013-11-06       Impact factor: 4.798

Review 3.  Stable Isotope Ratios as Biomarkers of Diet for Health Research.

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4.  Serum Nitrogen and Carbon Stable Isotope Ratios Meet Biomarker Criteria for Fish and Animal Protein Intake in a Controlled Feeding Study of a Women's Health Initiative Cohort.

Authors:  Hee Young Yun; Johanna W Lampe; Lesley F Tinker; Marian L Neuhouser; Shirley A A Beresford; Kristine R Niles; Yasmin Mossavar-Rahmani; Linda G Snetselaar; Linda Van Horn; Ross L Prentice; Diane M O'Brien
Journal:  J Nutr       Date:  2018-12-01       Impact factor: 4.798

5.  Associations of plasma, RBCs, and hair carbon and nitrogen isotope ratios with fish, meat, and sugar-sweetened beverage intake in a 12-wk inpatient feeding study.

Authors:  Susanne B Votruba; Pamela A Shaw; Eric J Oh; Colleen A Venti; Susan Bonfiglio; Jonathan Krakoff; Diane M O'Brien
Journal:  Am J Clin Nutr       Date:  2019-12-01       Impact factor: 7.045

6.  The Nitrogen Isotope Ratio Is a Biomarker of Yup'ik Traditional Food Intake and Reflects Dietary Seasonality in Segmental Hair Analyses.

Authors:  Kyungcheol Choy; Sarah H Nash; Courtney Hill; Andrea Bersamin; Scarlett E Hopkins; Bert B Boyer; Diane M O'Brien
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7.  A stable isotope biomarker of marine food intake captures associations between n-3 fatty acid intake and chronic disease risk in a Yup'ik study population, and detects new associations with blood pressure and adiponectin.

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Review 8.  Clinical research strategies for fructose metabolism.

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9.  The carbon isotope ratios of nonessential amino acids identify sugar-sweetened beverage (SSB) consumers in a 12-wk inpatient feeding study of 32 men with varying SSB and meat exposures.

Authors:  Jessica J Johnson; Pamela A Shaw; Eric J Oh; Matthew J Wooller; Sean Merriman; Hee Young Yun; Thomas Larsen; Jonathan Krakoff; Susanne B Votruba; Diane M O'Brien
Journal:  Am J Clin Nutr       Date:  2021-05-08       Impact factor: 7.045

10.  Associations Between Sugars Intakes and Urinary Sugars Excretion and Carbon Stable Isotope Ratios in Red Blood Cells as Biomarkers of Sugars Intake in a Predominantly Māori Population.

Authors:  Lisa Te Morenga; Devonia Kruimer; Rachael McLean; Amandine J M Sabadel; Robert van Hale; Xavier Tatin; Jennié Harre Hindmarsh; Jim Mann; Tony Merriman
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