Abstract

Introduction: In individuals with chronic kidney disease (CKD), healthy dietary patterns are inversely associated with CKD progression. Metabolomics, an approach which measures many small molecules in biofluids, can identify biomarkers of healthy dietary patterns and elucidate metabolic pathways underlying diet-disease associations. Hypothesis: We hypothesized that adherence to 4 healthy dietary patterns would be associated with a set of known metabolites in CKD patients. Methods: We examined associations between 634 plasma metabolites assessed using the Broad platform at year 1 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), and their food components in 1,117 participants in the CRIC Study. Usual dietary intakes were assessed using a food frequency questionnaire at baseline and year 2. We conducted multivariable linear regression models to study associations between diet scores and individual plasma metabolites, adjusting for sociodemographic characteristics, health behaviors, and clinical factors. Results: After Bonferroni correction, we identified a total of 362 diet-metabolite associations (HEI=78; AHEI=127; DASH=97; aMED=60), and 101 metabolites were associated with more than 1 dietary pattern. The most common metabolite categories were triacylglycerols and diacylglycerols. Most lipids were negatively associated with healthy dietary patterns, except for cholesterols esters and triacylglycerols with ≥7 double bonds. Triacylglycerols with high number of double bonds were positively associated with healthy fat intake (e.g., higher monounsaturated and polyunsaturated fatty acid, omega-3 fatty acid, fish) within HEI, AHEI, and aMED ( Table ). Conclusions: We identified many metabolites associated with healthy dietary patterns, indicative of food consumption. If replicated, they may be considered biomarkers of healthy dietary patterns in CKD patients.

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