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The Warburg Effect in Diabetic Kidney Disease
Guanshi Zhang1, Manjula Darshi1, Kumar Sharma1
1Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health, San Antonio, TX; Audie L. Murphy Memorial VA Hospital, South Texas Veterans Health Care System, San Antonio, TX.
Diabetic kidney disease (DKD) involves altered glucose metabolism, specifically the Warburg effect. Understanding these metabolic shifts offers new pathways for diagnosing and treating DKD.
Area of Science:
- Nephrology
- Metabolic pathways
- Systems biology
Background:
- Diabetic kidney disease (DKD) is a major complication of diabetes, leading to significant morbidity and mortality.
- Traditional methods for identifying DKD risk factors have limitations.
- Integrative omics and systems biology offer novel approaches to understand DKD pathogenesis.
Purpose of the Study:
- To review the role of the Warburg effect in DKD.
- To identify key regulatory factors influencing glucose metabolism in DKD.
- To discuss the potential of omics and imaging for personalized DKD medicine.
Main Methods:
- Review of current literature on DKD, metabolic pathways, and omics technologies.
- Analysis of the Warburg effect and its regulators (sphingomyelin, fumarate, PKM2) in glucose metabolism.
- Discussion of advancements in omics and imaging for single-cell analysis.
Main Results:
- The Warburg effect, a shift towards glycolysis, plays a significant role in DKD.
- Factors like sphingomyelin, fumarate, and pyruvate kinase M2 regulate this metabolic shift.
- Omics analyses and imaging are advancing towards single-cell resolution.
Conclusions:
- Understanding the Warburg effect in DKD is crucial for biomarker discovery.
- Targeting metabolic dysregulation presents therapeutic opportunities for DKD.
- Single-cell omics and advanced imaging will drive personalized kidney precision medicine for DKD.
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