4.7 Article

Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications

Journal

JCI INSIGHT
Volume 1, Issue 15, Pages -

Publisher

AMER SOC CLINICAL INVESTIGATION INC
DOI: 10.1172/jci.insight.86976

Keywords

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Funding

  1. Division Of Mathematical Sciences
  2. Direct For Mathematical & Physical Scien [1545277] Funding Source: National Science Foundation
  3. Novo Nordisk Fonden [NNF14OC0011633] Funding Source: researchfish
  4. VA [726268, 1I01BX002367-01A1] Funding Source: Federal RePORTER
  5. NCATS NIH HHS [UL1 TR000433] Funding Source: Medline
  6. NCRR NIH HHS [M01 RR000080] Funding Source: Medline
  7. NEI NIH HHS [R01 EY020582] Funding Source: Medline
  8. NHLBI NIH HHS [K01 HL124050] Funding Source: Medline
  9. NIDDK NIH HHS [DP3 DK094352, P30 DK020572, U24 DK097153, U01 DK057329, R01 DK108921, P30 DK081943, K08 DK089117, DP3 DK094292, R56 DK108921, R03 DK106304, P30 DK089503, R24 DK082841, R01 DK059997] Funding Source: Medline
  10. NIGMS NIH HHS [R01 GM114029] Funding Source: Medline
  11. BLRD VA [I01 BX002367] Funding Source: Medline

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Diabetes is associated with altered cellular metabolism, but how altered metabolism contributes to the development of diabetic complications is unknown. We used the BKS db/db 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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