The Carbon Isotope Ratios of Serum Amino Acids in Combination with Participant Characteristics can be Used to Estimate Added Sugar Intake in a Controlled Feeding Study of US Postmenopausal Women.


Journal

The Journal of nutrition
ISSN: 1541-6100
Titre abrégé: J Nutr
Pays: United States
ID NLM: 0404243

Informations de publication

Date de publication:
12 10 2020
Historique:
received: 04 05 2020
revised: 20 05 2020
accepted: 17 06 2020
pubmed: 28 7 2020
medline: 6 1 2021
entrez: 27 7 2020
Statut: ppublish

Résumé

The carbon isotope ratio (CIR) is a proposed biomarker for added sugar (AS) intake in the United States; however, because the CIR is also associated with meat intake in most populations the need for specificity remains. The CIR of amino acids (AAs) has the potential to differentiate sugars from meat intakes, because essential AAs must derive from dietary protein whereas certain nonessential AAs can be synthesized from sugars. We tested whether serum CIR-AAs in combination with participant characteristics could meet a prespecified biomarker criterion for AS intake in the Nutrition and Physical Activity Assessment Study Feeding Study (NPAAS-FS) of the Women's Health Initiative, a population in which the whole-serum CIR was not associated with AS intake. Postmenopausal women (n = 145) from Seattle, WA, were provided with individualized diets that approximated their habitual food intakes for 2 wk. Dietary intakes from consumed foods were characterized over the feeding period using the Nutrition Data System for Research. The CIR of 7 AAs-Ala, Gly, Val, Leu, Ile, Pro, and Phe-were measured in fasting serum collected at the end of the 2-wk feeding period, using gas chromatography-combustion isotope ratio mass spectrometry. Biomarker models were evaluated using regression R2 ≥ 0.36 as a major biomarker criterion, based on the benchmark R2 values of well-established recovery biomarkers in the NPAAS-FS. AS intake was associated with CIR-Ala (ρ = 0.32; P < 0.0001). A model of AS intake based on CIR-Ala, CIR-Gly, CIR-Ile, smoking, leisure physical activity, and body weight met the biomarker criterion (R2 = 0.37). Biomarker-estimated AS intake was not associated with meat or animal protein intake. Results support serum CIR-AAs in combination with participant characteristics as potential biomarkers of AS intake in US populations, including those with low AS intake.The Women's Health Initiative is registered at clinicaltrials.gov (NCT00000611).

Sections du résumé

BACKGROUND
The carbon isotope ratio (CIR) is a proposed biomarker for added sugar (AS) intake in the United States; however, because the CIR is also associated with meat intake in most populations the need for specificity remains. The CIR of amino acids (AAs) has the potential to differentiate sugars from meat intakes, because essential AAs must derive from dietary protein whereas certain nonessential AAs can be synthesized from sugars.
OBJECTIVES
We tested whether serum CIR-AAs in combination with participant characteristics could meet a prespecified biomarker criterion for AS intake in the Nutrition and Physical Activity Assessment Study Feeding Study (NPAAS-FS) of the Women's Health Initiative, a population in which the whole-serum CIR was not associated with AS intake.
METHODS
Postmenopausal women (n = 145) from Seattle, WA, were provided with individualized diets that approximated their habitual food intakes for 2 wk. Dietary intakes from consumed foods were characterized over the feeding period using the Nutrition Data System for Research. The CIR of 7 AAs-Ala, Gly, Val, Leu, Ile, Pro, and Phe-were measured in fasting serum collected at the end of the 2-wk feeding period, using gas chromatography-combustion isotope ratio mass spectrometry. Biomarker models were evaluated using regression R2 ≥ 0.36 as a major biomarker criterion, based on the benchmark R2 values of well-established recovery biomarkers in the NPAAS-FS.
RESULTS
AS intake was associated with CIR-Ala (ρ = 0.32; P < 0.0001). A model of AS intake based on CIR-Ala, CIR-Gly, CIR-Ile, smoking, leisure physical activity, and body weight met the biomarker criterion (R2 = 0.37). Biomarker-estimated AS intake was not associated with meat or animal protein intake.
CONCLUSIONS
Results support serum CIR-AAs in combination with participant characteristics as potential biomarkers of AS intake in US populations, including those with low AS intake.The Women's Health Initiative is registered at clinicaltrials.gov (NCT00000611).

Identifiants

pubmed: 32712658
pii: S0022-3166(22)02326-4
doi: 10.1093/jn/nxaa195
pmc: PMC7549297
doi:

Substances chimiques

Amino Acids 0
Biomarkers 0
Carbon Isotopes 0
Dietary Sugars 0

Banques de données

ClinicalTrials.gov
['NCT00000611']

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2764-2771

Subventions

Organisme : NCI NIH HHS
ID : P30 CA023074
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600002C
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA015704
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA182674
Pays : United States
Organisme : NIDA NIH HHS
ID : HHSN271201600004I
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103395
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600001C
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK109946
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600003C
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA119171
Pays : United States
Organisme : NIGMS NIH HHS
ID : P30 GM103325
Pays : United States
Organisme : NIDA NIH HHS
ID : HHSN271201600004C
Pays : United States

Informations de copyright

Copyright © The Author(s) on behalf of the American Society for Nutrition 2020.

Références

Genes Nutr. 2018 May 30;13:14
pubmed: 29861790
Br J Sports Med. 2016 Apr;50(8):496-504
pubmed: 27044603
Proc Natl Acad Sci U S A. 2002 Apr 2;99(7):4413-8
pubmed: 11930002
Nutrients. 2015 Jul 15;7(7):5816-33
pubmed: 26184307
Am J Epidemiol. 2013 Dec 1;178(11):1663-72
pubmed: 24064741
J Nutr. 2010 Feb;140(2):333-7
pubmed: 20018804
Am J Epidemiol. 2017 Nov 1;186(9):1035-1043
pubmed: 28633342
Br J Nutr. 2016 Feb 28;115(4):694-702
pubmed: 26669283
Am J Physiol. 1995 Sep;269(3 Pt 1):E443-50
pubmed: 7573421
Eur J Epidemiol. 2017 May;32(5):363-375
pubmed: 28397016
Adv Nutr. 2019 Mar 1;10(2):205-218
pubmed: 30801613
JAMA Intern Med. 2014 Apr;174(4):516-24
pubmed: 24493081
Physiol Biochem Zool. 2005 Sep-Oct;78(5):819-27
pubmed: 16096984
Am J Clin Nutr. 2017 Jun;105(6):1272-1282
pubmed: 28446501
BMJ. 2019 Jul 3;366:l2368
pubmed: 31270064
Metabolism. 1973 Feb;22(2):179-207
pubmed: 4567003
J Lab Clin Med. 1978 Nov;92(5):803-12
pubmed: 712212
Cancer Epidemiol Biomarkers Prev. 2005 May;14(5):1287-94
pubmed: 15894688
J Nutr. 2013 Jun;143(6):878-84
pubmed: 23616504
Am J Phys Anthropol. 2006 Sep;131(1):137-46
pubmed: 16552735
Am J Clin Nutr. 2014 Apr;99(4):934-40
pubmed: 24552750
Annu Rev Nutr. 2015;35:565-94
pubmed: 26048703
J Nutr. 2015 Dec;145(12):2639-45
pubmed: 26468491
Rapid Commun Mass Spectrom. 2014 Jan 15;28(1):96-108
pubmed: 24285394
J Nutr. 2012 Jan;142(1):84-90
pubmed: 22157543
Cancer Epidemiol Biomarkers Prev. 2007 Aug;16(8):1651-4
pubmed: 17684141
Nutrients. 2018 Jul 31;10(8):
pubmed: 30065152
Eur J Clin Nutr. 2009 May;63(5):653-9
pubmed: 18301435
Am J Clin Nutr. 2011 Dec;94(6):1600-6
pubmed: 22071707
Rapid Commun Mass Spectrom. 2007;21(23):3759-71
pubmed: 17990247
Crit Rev Food Sci Nutr. 2019;59(7):1071-1090
pubmed: 29039970
Prog Mol Biol Transl Sci. 2015;135:17-37
pubmed: 26477909
Int J Circumpolar Health. 2007 Feb;66(1):31-41
pubmed: 17451132
J Clin Endocrinol Metab. 2020 Apr 1;105(4):
pubmed: 31825515
J Nutr. 2013 Feb;143(2):161-5
pubmed: 23256142
Int J Cancer. 2012 Jan 1;130(1):159-69
pubmed: 21328345
Am J Clin Nutr. 2019 Dec 1;110(6):1306-1315
pubmed: 31515553
Proc Natl Acad Sci U S A. 2008 Nov 18;105(46):17855-60
pubmed: 19001276
Circulation. 2019 Apr 30;139(18):2113-2125
pubmed: 30882235
Am J Clin Nutr. 2017 Feb;105(2):466-475
pubmed: 28031191
Public Health Nutr. 2015 Oct;18(15):2815-24
pubmed: 25702697
Am J Epidemiol. 2014 Sep 1;180(5):526-35
pubmed: 25016533
J Nutr. 2018 Dec 1;148(12):1931-1937
pubmed: 30239866
Int J Obes (Lond). 2015 Jul;39(7):1109-13
pubmed: 25394308

Auteurs

Hee Young Yun (HY)

Center for Alaska Native Health Research, Institute of Arctic Biology, Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA.

Lesley F Tinker (LF)

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Marian L Neuhouser (ML)

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Dale A Schoeller (DA)

Department of Nutritional Sciences, University of Wisconsin, Madison, WI, USA.

Yasmin Mossavar-Rahmani (Y)

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA.

Linda G Snetselaar (LG)

Department of Epidemiology, University of Iowa, Iowa City, IA, USA.

Linda V Van Horn (LV)

Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.

Charles B Eaton (CB)

Department of Family Medicine, Alpert Medical School, Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA.

Ross L Prentice (RL)

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Johanna W Lampe (JW)

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Diane M O'Brien (DM)

Center for Alaska Native Health Research, Institute of Arctic Biology, Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH