The Warburg Effect in Diabetic Kidney Disease

Guanshi Zhang, Manjula Darshi, Kumar Sharma

Research output: Contribution to journalReview article

17 Scopus citations

Abstract

Summary: Diabetic kidney disease (DKD) is the leading cause of morbidity and mortality in diabetic patients. Defining risk factors for DKD using a reductionist approach has proven challenging. Integrative omics-based systems biology tools have shed new insights in our understanding of DKD and have provided several key breakthroughs for identifying novel predictive and diagnostic biomarkers. In this review, we highlight the role of the Warburg effect in DKD and potential regulating factors such as sphingomyelin, fumarate, and pyruvate kinase muscle isozyme M2 in shifting glucose flux from complete oxidation in mitochondria to the glycolytic pathway and its principal branches. With the development of highly sensitive instruments and more advanced automatic bioinformatics tools, we believe that omics analyses and imaging techniques will focus more on singular-cell-level studies, which will allow in-depth understanding of DKD and pave the path for personalized kidney precision medicine.

Original languageEnglish (US)
Pages (from-to)111-120
Number of pages10
JournalSeminars in Nephrology
Volume38
Issue number2
DOIs
StatePublished - Mar 1 2018

Keywords

  • aerobic glycolysis
  • Diabetic kidney disease
  • metabolomics
  • mitochondrion
  • the Warburg effect

ASJC Scopus subject areas

  • Nephrology

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