Eicosanoids and Related Metabolites Associated with ESKD in a Community-Based Cohort.

Abstract

Eicosanoids are derivatives of polyunsaturated fatty acids (PUFAs) and participate in the inflammatory response as well as the maintenance of endothelial function. Specific eicosanoids have been linked to various diseases, including hypertension and asthma, and may also reduce renal blood flow. A systematic investigation of eicosanoid-related metabolites and adverse kidney outcomes could identify key mediators of kidney disease and inform ongoing work in drug development. Profiling of eicosanoid-related metabolites was performed in 9,650 participants in the Atherosclerosis Risk in Communities (ARIC) Study (visit 2; mean age, 57 years). The associations between metabolite levels and the development of end-stage kidney disease (ESKD) was investigated using a series of progressively adjusted models and Cox proportional hazards regression (N= 256 events; median follow-up, 25.5 years). Metabolites with statistically significant associations with ESKD were evaluated for a potential causal role using bidirectional Mendelian randomization techniques, linking genetic instruments for eicosanoid levels to genome-wide association study summary statistics of estimated glomerular filtration rate (eGFR). The 223 eicosanoid-related metabolites that were profiled and passed QC were generally uncorrelated with eGFR in cross-sectional analyses (median Spearman correlation, -0.03; IQR -0.05 to 0.002). In models adjusted for multiple covariates, including baseline eGFR, three metabolites had statistically significant associations with ESKD (p-value <0.05/223). These included a hydroxyoctadecenoic acid, a dihydroxydocosapentaenoic acid, and arachidonic acid, with higher levels of the former two protective against ESKD and higher levels of arachidonic acid having a positive association with risk of ESKD. Mendelian randomization analyses suggested a causal role for the hydroxyoctadecenoic and arachidonic acid in determining eGFR. Spectral analysis identified the former metabolite as either 11-hydroxy-9-octadecenoic acid or 10-hydroxy-11-octadecenoic acid. High throughput eicosanoid profiling can identify metabolites that may play a protective role in the development of kidney disease.