Transcriptomic analysis of diabetic kidney disease and neuropathy in mouse models of type 1 and type 2 diabetes

Sarah E Elzinga1, Stephanie A Eid1, Brett A McGregor2

  • 1Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA.

PubMed

Insights

Diabetic kidney disease and neuropathy share inflammatory pathways. Genetic background significantly influences these diabetes complications, impacting gene expression in affected tissues.

Area of Science:

  • Endocrinology and Metabolism
  • Genetics and Genomics
  • Nephrology and Urology

Background:

  • Diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN) are prevalent, yet poorly understood, complications of type 1 diabetes (T1D) and type 2 diabetes (T2D).
  • Understanding the molecular mechanisms driving these diabetes complications is crucial for developing targeted therapies.

Purpose of the Study:

  • To investigate the shared and distinct molecular pathways in DKD and DPN across T1D and T2D models.
  • To evaluate the influence of genetic background on the pathogenesis of diabetic complications.

Main Methods:

  • Utilized streptozotocin-induced T1D (db/+) and established T2D (db/db) mouse models on a C57BLKS/J background.
  • Performed transcriptomic analysis on glomeruli and sciatic nerves.
  • Employed self-organizing map and differential gene expression analysis to identify key molecular changes.

Main Results:

  • Identified dysregulated immune function and inflammation pathways common to both DKD and DPN in T1D and T2D models.
  • Observed a high concordance of shared differentially expressed genes (DEGs) within the same genetic background, across complications and diabetes types.
  • Highlighted the significant impact of genetic background on DEG patterns, contrasting with previous findings using different mouse cohorts.

Conclusions:

  • Inflammation plays a central role in the pathogenesis of DKD and DPN.
  • Genetic background is a critical determinant of diabetic complication development and molecular signatures.
  • Findings underscore the importance of considering genetic factors in studying and treating diabetes complications.