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

Author:

Kim Hyunju12ORCID,Anderson Cheryl Am3,Hu Emily A4,Zheng Zihe5ORCID,Appel Lawrence J12,He Jiang67ORCID,Feldman Harold I5,Anderson Amanda H6,Ricardo Ana C8,Bhat Zeenat9,Kelly Tanika N67,Chen Jing67,Vasan Ramachandran S10,Kimmel Paul L11,Grams Morgan E12,Coresh Josef12,Clish Clary B12,Rhee Eugene P13,Rebholz Casey M12

Affiliation:

1. Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA

2. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

3. Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA

4. Foodsmart, San Francisco, CA, USA

5. Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA

6. Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA

7. Department of Medicine, Tulane University, New Orleans, LA, USA

8. Department of Medicine, University of Illinois, Chicago, IL, USA

9. Department of Medicine, Wayne State University, Detroit, MI, USA

10. Department of Medicine, Boston University, Boston, MA, USA

11. Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA

12. The Broad Institute of Harvard and Massachusetts Institute of Technology , Boston, MA, USA

13. Nephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA

Abstract

ABSTRACT 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.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Perelman School of Medicine at the University of Pennsylvania

National Center for Advancing Translational Sciences

Johns Hopkins University

University of Maryland

Clinical and Translational Science Collaborative of Cleveland

NCATS

NIH

Michigan Institute for Clinical and Health Research

University of Illinois at Chicago

Clinical and Translational Research in Cardiometabolic Diseases

National Center for Research Resources

University of California

San Francisco-Clinical and Translational Science Institute

University of New Mexico School of Medicine Albuquerque

NORC

NIDDK

National Heart, Lung, and Blood Institute

NHLBI

Predoctoral Individual National Research Service

Department of Health and Human Services

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

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