Plasma Metabolomic Signatures of Healthy Dietary Patterns in the Chronic Renal Insufficiency Cohort (CRIC) Study

被引:23
作者
Kim, Hyunju [1 ,2 ]
Anderson, Cheryl Am [3 ]
Hu, Emily A. [4 ]
Zheng, Zihe [5 ]
Appel, Lawrence J. [1 ,2 ]
He, Jiang [6 ,7 ]
Feldman, Harold, I [5 ]
Anderson, Amanda H. [6 ]
Ricardo, Ana C. [8 ]
Bhat, Zeenat [9 ]
Kelly, Tanika N. [6 ,7 ]
Chen, Jing [6 ,7 ]
Vasan, Ramachandran S. [10 ]
Kimmel, Paul L. [11 ]
Grams, Morgan E. [1 ,2 ]
Coresh, Josef [1 ,2 ]
Clish, Clary B. [12 ]
Rhee, Eugene P. [13 ,14 ]
Rebholz, Casey M. [1 ,2 ]
机构
[1] Johns Hopkins Univ, Welch Ctr Prevent Epidemiol & Clin Res, Baltimore, MD 21218 USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 21205 USA
[3] Univ Calif San Diego, Herbert Wertheim Sch Publ Hlth & Human Longev Sci, San Diego, CA 92103 USA
[4] Foodsmart, San Francisco, CA USA
[5] Univ Penn, Dept Biostat Epidemiol & Informat, Philadelphia, PA 19104 USA
[6] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Epidemiol, New Orleans, LA 70118 USA
[7] Tulane Univ, Dept Med, New Orleans, LA 70118 USA
[8] Univ Illinois, Dept Med, Chicago, IL USA
[9] Wayne State Univ, Dept Med, Detroit, MI 48202 USA
[10] Boston Univ, Dept Med, Boston, MA USA
[11] NIDDK, Div Kidney Urol & Hematol Dis, NIH, Bethesda, MD 20892 USA
[12] Broad Inst Harvard & MIT, Boston, MA USA
[13] Massachusetts Gen Hosp, Nephrol Div, Boston, MA 02114 USA
[14] Massachusetts Gen Hosp, Endocrine Unit, Boston, MA 02114 USA
基金
美国国家卫生研究院;
关键词
metabolomics; healthy dietary patterns; lipids; chronic kidney disease; food components; CORONARY-HEART-DISEASE; MEDITERRANEAN DIET; CARDIOVASCULAR-DISEASE; SERUM METABOLITES; EATING INDEX; RISK; ADHERENCE; ASSOCIATION; MORTALITY; PROGRESSION;
D O I
10.1093/jn/nxab203
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: In individuals with chronic kidney disease (CKD), healthy dietary patterns are inversely associated with CKD progression. Metabolomics, an approach that measures many small molecules in biofluids, can identify biomarkers of healthy dietary patterns. Objectives: We aimed to identify known metabolites associated with greater adherence to 4 healthy dietary patterns in CKD patients. Methods: We examined associations between 486 known plasma metabolites and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension (DASH) diet, and alternate Mediterranean diet (aMED) in 1056 participants (aged 21-74 y at baseline) in the Chronic Renal Insufficiency Cohort (CRIC) Study. Usual dietary intake was assessed using a semiquantitative FFQ. We conducted multivariable linear regression models to study associations between healthy dietary patterns and individual plasma metabolites, adjusting for sociodemographic characteristics, health behaviors, and clinical factors. We used principal component analysis to identify groups of metabolites associated with individual food components within healthy dietary patterns. Results: After Bonferroni correction, we identified 266 statistically significant diet-metabolite associations (HEI: n = 60; AHEI: n = 78; DASH: n = 77; aMED: n = 51); 78 metabolites were associated with >1 dietary pattern. Lipids with a longer acyl chain length and double bonds (unsaturated) were positively associated with all 4 dietary patterns. A metabolite pattern low in saturated diacylglycerols and triacylglycerols, and a pattern high in unsaturated triacylglycerols was positively associated with intake of healthy food components. Plasmalogens were negatively associated with the consumption of nuts and legumes and healthy fat, and positively associated with the intake of red and processed meat. Conclusions: We identified many metabolites associated with healthy dietary patterns, indicative of food consumption. If replicated, these metabolites may be considered biomarkers of healthy dietary patterns in patients with CKD.
引用
收藏
页码:2894 / 2907
页数:14
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