Association of sulfur amino acid consumption with cardiometabolic risk factors: Cross-sectional findings from NHANES III.
BUN, blood urea nitrogen
CRP, C-reactive protein
Cardiometabolic diseases
Cys, cysteine
Cysteine
Diabetes
Dietary sulfur amino acids
EAR, estimated average requirement
IR, insulin resistance
MEC, mobile examination center
Met, methionine
Methionine
NHANES III, Third National Examination and Nutritional Health Survey
RDA, recommended dietary allowance
SAA, sulfur amino acids
SAAR, sulfur amino acid restriction
Sulfur amino acids restriction
eGFR, estimated glomerular filtration rate
Journal
EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
received:
26
09
2019
revised:
09
12
2019
accepted:
17
12
2019
entrez:
7
3
2020
pubmed:
7
3
2020
medline:
7
3
2020
Statut:
epublish
Résumé
An average adult American consumes sulfur amino acids (SAA) at levels far above the Estimated Average Requirement (EAR) and recent preclinical data suggest that higher levels of SAA intake may be associated with a variety of aging-related chronic diseases. However, there are little data regarding the relationship between SAA intake and chronic disease risk in humans. The aim of this study was to examine the associations between consumption of SAA and risk factors for cardiometabolic diseases. The sample included 11,576 adult participants of the Third National Examination and Nutritional Health Survey (NHANES III) Study (1988-1994). The primary outcome was cardiometabolic disease risk score (composite risk factor based on blood cholesterol, triglycerides, HDL, C-reactive protein (CRP), uric acid, glucose, blood urea nitrogen (BUN), glycated hemoglobin, insulin, and eGFR). Group differences in risk score by quintiles of energy-adjusted total SAA, methionine (Met), and cysteine (Cys) intake were determined by multiple linear regression after adjusting for age, sex, BMI, smoking, alcohol intake, and dietary factors. We further examined for associations between SAA intake and individual risk factors. Mean SAA consumption was > 2.5-fold higher than the EAR. After multivariable adjustment, higher intake of SAA, Met, and Cys were associated with significant increases in composite cardiometabolic disease risk scores, independent of protein intake, and with several individual risk factors including serum cholesterol, glucose, uric acid, BUN, and insulin and glycated hemoglobin ( Overall, our findings suggest that diets lower in SAA (close to the EAR) are associated with reduced risk for cardiometabolic diseases. Low SAA dietary patterns rely on plant-derived protein sources over meat derived foods. Given the high intake of SAA among most adults, our findings may have important public health implications for chronic disease prevention. This study does not have any funding.
Sections du résumé
BACKGROUND
BACKGROUND
An average adult American consumes sulfur amino acids (SAA) at levels far above the Estimated Average Requirement (EAR) and recent preclinical data suggest that higher levels of SAA intake may be associated with a variety of aging-related chronic diseases. However, there are little data regarding the relationship between SAA intake and chronic disease risk in humans. The aim of this study was to examine the associations between consumption of SAA and risk factors for cardiometabolic diseases.
METHODS
METHODS
The sample included 11,576 adult participants of the Third National Examination and Nutritional Health Survey (NHANES III) Study (1988-1994). The primary outcome was cardiometabolic disease risk score (composite risk factor based on blood cholesterol, triglycerides, HDL, C-reactive protein (CRP), uric acid, glucose, blood urea nitrogen (BUN), glycated hemoglobin, insulin, and eGFR). Group differences in risk score by quintiles of energy-adjusted total SAA, methionine (Met), and cysteine (Cys) intake were determined by multiple linear regression after adjusting for age, sex, BMI, smoking, alcohol intake, and dietary factors. We further examined for associations between SAA intake and individual risk factors.
FINDINGS
RESULTS
Mean SAA consumption was > 2.5-fold higher than the EAR. After multivariable adjustment, higher intake of SAA, Met, and Cys were associated with significant increases in composite cardiometabolic disease risk scores, independent of protein intake, and with several individual risk factors including serum cholesterol, glucose, uric acid, BUN, and insulin and glycated hemoglobin (
INTERPRETATION
CONCLUSIONS
Overall, our findings suggest that diets lower in SAA (close to the EAR) are associated with reduced risk for cardiometabolic diseases. Low SAA dietary patterns rely on plant-derived protein sources over meat derived foods. Given the high intake of SAA among most adults, our findings may have important public health implications for chronic disease prevention.
FUNDING
BACKGROUND
This study does not have any funding.
Identifiants
pubmed: 32140669
doi: 10.1016/j.eclinm.2019.100248
pii: S2589-5370(19)30257-3
pii: 100248
pmc: PMC7046517
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100248Informations de copyright
© 2019 Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
We declare no competing interests.
Références
Aging Cell. 2014 Oct;13(5):817-27
pubmed: 24935677
Am J Epidemiol. 1984 Aug;120(2):281-90
pubmed: 6465126
J Nutr. 2008 Sep;138(9):1628-33
pubmed: 18716161
Diabetes. 2014 Nov;63(11):3721-33
pubmed: 24947368
Biochem Biophys Res Commun. 2009 Feb 27;380(1):153-9
pubmed: 19166813
Nutrition. 2009 Apr;25(4):436-44
pubmed: 19056240
Vital Health Stat 1. 1994 Jul;(32):1-407
pubmed: 7975354
Exp Gerontol. 2013 Oct;48(10):1030-42
pubmed: 23454735
Mech Ageing Dev. 2016 Jul;157:35-43
pubmed: 27453066
Am J Epidemiol. 1986 Jul;124(1):17-27
pubmed: 3521261
Nat Commun. 2014 Apr 07;5:3592
pubmed: 24710037
PLoS One. 2012;7(12):e51357
pubmed: 23236485
Diabetes. 1997 Oct;46(10):1594-600
pubmed: 9313755
Am J Clin Nutr. 2012 Mar;95(3):580-6
pubmed: 22301926
Lancet. 2005 Sep 24-30;366(9491):1059-62
pubmed: 16182882
Exp Gerontol. 2013 Jul;48(7):654-60
pubmed: 22819757
J Clin Epidemiol. 1990;43(11):1169-78
pubmed: 2243254
J Nutr. 1993 Feb;123(2):269-74
pubmed: 8429371
Mol Nutr Food Res. 2018 May;62(10):e1700951
pubmed: 29603632
J Acad Nutr Diet. 2013 Apr;113(4):569-80
pubmed: 23415502
Amino Acids. 2016 Jul;48(7):1533-40
pubmed: 27156065
Annu Rev Nutr. 1984;4:157-81
pubmed: 6235826
Aging Cell. 2005 Jun;4(3):119-25
pubmed: 15924568
Diabetes Care. 1991 Mar;14(3):173-94
pubmed: 2044434
Diabetes. 2006 May;55(5):1391-7
pubmed: 16644696
Rejuvenation Res. 2009 Dec;12(6):421-34
pubmed: 20041736
J Nutr. 2006 Jun;136(6 Suppl):1722S-1725S
pubmed: 16702346
Biochim Biophys Acta. 2006 May-Jun;1757(5-6):496-508
pubmed: 16574059
J Am Diet Assoc. 2002 Nov;102(11):1621-30
pubmed: 12449285
Nutrition. 2004 Sep;20(9):800-5
pubmed: 15325691
Prog Mol Biol Transl Sci. 2014;121:351-76
pubmed: 24373243
J Nutr. 2004 Jun;134(6 Suppl):1633S-1639S; discussion 1664S-1666S, 1667S-1672S
pubmed: 15173443
Fed Proc. 1949 Jun;8(2):546-52
pubmed: 18146542
Curr Hypertens Rep. 2003 Oct;5(5):393-401
pubmed: 12948432
J Nutr Sci Vitaminol (Tokyo). 1987 Jun;33(3):195-205
pubmed: 3668700
Ann Intern Med. 2009 May 5;150(9):604-12
pubmed: 19414839
Diabetes. 2016 Jun;65(6):1499-510
pubmed: 26936965
N Engl J Med. 2014 Apr 10;370(15):1422-31
pubmed: 24645848
Aging Cell. 2006 Aug;5(4):305-14
pubmed: 16800846
Diabetologia. 2018 Dec;61(12):2461-2498
pubmed: 30288571
J Am Soc Hypertens. 2018 Mar;12(3):238
pubmed: 29396104
Cancer Treat Rev. 2012 Oct;38(6):726-36
pubmed: 22342103
Nutr Clin Pract. 2010 Dec;25(6):613-20
pubmed: 21139125
Eur Rev Med Pharmacol Sci. 2014;18(9):1295-306
pubmed: 24867507
Am J Epidemiol. 1989 Feb;129(2):422-9
pubmed: 2912050
Epidemiology. 1992 Sep;3(5):434-40
pubmed: 1391136
Cardiovasc Diabetol. 2008 Jun 05;7:17
pubmed: 18534019
Diabetes Care. 2018 Jan;41(Suppl 1):S55-S64
pubmed: 29222377
World Health Organ Tech Rep Ser. 2007;(935):1-265, back cover
pubmed: 18330140
Am J Clin Nutr. 2013 Feb;97(2):403-10
pubmed: 23283504