Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications

Kelli M. Sas, Pradeep Kayampilly, Jaeman Byun, Viji Nair, Lucy M. Hinder(University of Michigan), Junguk Hur(University of North Dakota), Hongyu Zhang, Cheng‐mao Lin, Nathan Qi, George Michailidis(University of Michigan), Per‐Henrik Groop(University of Helsinki), Robert G. Nelson(National Institutes of Health), Manjula Darshi(University of California San Diego), Kumar Sharma(University of California San Diego), Jeffrey R. Schelling, John R. Sedor(Case Western Reserve University), Rodica Pop‐Busui, Joel M. Weinberg, Scott A. Soleimanpour, Steven F. Abcouwer, Thomas W. Gardner, Charles Burant(University of Michigan), Eva L. Feldman(University of Michigan), Matthias Kretzler, Frank C. Brosius(University of Michigan), Subramaniam Pennathur
JCI Insight
September 21, 2016
Cited by 262Open Access
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Abstract

diabetic mouse model to investigate changes in carbohydrate and lipid metabolism in kidney cortex, peripheral nerve, and retina. A systems approach using transcriptomics, metabolomics, and metabolic flux analysis identified tissue-specific differences, with increased glucose and fatty acid metabolism in the kidney, a moderate increase in the retina, and a decrease in the nerve. In the kidney, increased metabolism was associated with enhanced protein acetylation and mitochondrial dysfunction. To confirm these findings in human disease, we analyzed diabetic kidney transcriptomic data and urinary metabolites from a cohort of Southwestern American Indians. The urinary findings were replicated in 2 independent patient cohorts, the Finnish Diabetic Nephropathy and the Family Investigation of Nephropathy and Diabetes studies. Increased concentrations of TCA cycle metabolites in urine, but not in plasma, predicted progression of diabetic kidney disease, and there was an enrichment of pathways involved in glycolysis and fatty acid and amino acid metabolism. Our findings highlight tissue-specific changes in metabolism in complication-prone tissues in diabetes and suggest that urinary TCA cycle intermediates are potential prognostic biomarkers of diabetic kidney disease progression.


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