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Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
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Present and future directions in diabetic kidney disease
Christine P Limonte1, Matthias Kretzler2, Subramaniam Pennathur3
1Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA; Kidney Research Institute, University of Washington, Seattle, WA, USA.
Journal of Diabetes and Its Complications
|November 20, 2022
Summary
Diabetic kidney disease (DKD) management is evolving beyond traditional risk factors. New therapies and precision medicine approaches promise to revolutionize DKD prevention and treatment.
Area of Science:
- Nephrology
- Endocrinology
- Precision Medicine
Background:
- Diabetic kidney disease (DKD) is a primary cause of kidney failure and linked to significant cardiovascular risks.
- Current DKD management targets hyperglycemia, hypertension, obesity, and renin-angiotensin system activation.
- Recent advancements include sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists, alongside mineralocorticoid and endothelin receptor antagonists.
Purpose of the Study:
- To review the evolving landscape of diabetic kidney disease (DKD) therapies.
- To explore the potential of precision medicine and advanced technologies in DKD treatment.
- To highlight the shift towards personalized care strategies for DKD.
Main Methods:
- Review of recent clinical trial data for novel DKD therapeutics.
- Analysis of emerging multi-omics technologies (transcriptomics, proteomics, metabolomics/lipidomics).
- Examination of artificial intelligence and machine learning applications in DKD research (e.g., Kidney Precision Medicine Project).
Main Results:
- New drug classes like SGLT2 inhibitors and GLP-1 RAs have demonstrated significant benefits in reducing DKD complications.
- Emerging therapies, including mineralocorticoid and endothelin receptor antagonists, expand treatment options.
- Advanced molecular profiling and AI offer potential for identifying DKD subtypes and targeted therapies.
Conclusions:
- The therapeutic landscape for diabetic kidney disease is rapidly expanding, enabling personalized treatment strategies.
- Precision medicine, driven by omics data and AI, holds promise for revolutionizing DKD understanding and care.
- Optimizing DKD prevention and management requires integrating novel agents and personalized approaches.
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