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

Author:

Elzinga Sarah E.1ORCID,Eid Stephanie A.1ORCID,McGregor Brett A.2ORCID,Jang Dae-Gyu1,Hinder Lucy M.1ORCID,Dauch Jacqueline R.1,Hayes John M.1ORCID,Zhang Hongyu3,Guo Kai1,Pennathur Subramaniam34,Kretzler Matthias35ORCID,Brosius Frank C.346ORCID,Koubek Emily J.1ORCID,Feldman Eva L.1ORCID,Hur Junguk2ORCID

Affiliation:

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

2. University of North Dakota School of Medicine and Health Sciences 2 Department of Biomedical Sciences , , Grand Forks, ND 58202 , USA

3. University of Michigan 3 Division of Nephrology, Department of Internal Medicine , , Ann Arbor, MI 48109 , USA

4. University of Michigan 4 Department of Molecular and Integrative Physiology , , Ann Arbor, MI 48109 , USA

5. University of Michigan 5 Department of Computational Medicine and Bioinformatics , , Ann Arbor, MI 48109 , USA

6. University of Arizona 6 Department of Medicine , , Tucson, AZ 85721 , USA

Abstract

ABSTRACT Diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN) are common complications of type 1 (T1D) and type 2 (T2D) diabetes. However, the mechanisms underlying pathogenesis of these complications are unclear. In this study, we optimized a streptozotocin-induced db/+ murine model of T1D and compared it to our established db/db T2D mouse model of the same C57BLKS/J background. Glomeruli and sciatic nerve transcriptomic data from T1D and T2D mice were analyzed by self-organizing map and differential gene expression analysis. Consistent with prior literature, pathways related to immune function and inflammation were dysregulated in both complications in T1D and T2D mice. Gene-level analysis identified a high degree of concordance in shared differentially expressed genes (DEGs) in both complications and across diabetes type when using mice from the same cohort and genetic background. As we have previously shown a low concordance of shared DEGs in DPN when using mice from different cohorts and genetic backgrounds, this suggests that genetic background may influence diabetic complications. Collectively, these findings support the role of inflammation and indicate that genetic background is important in complications of both T1D and T2D.

Publisher

The Company of Biologists

Subject

General Biochemistry, Genetics and Molecular Biology,Immunology and Microbiology (miscellaneous),Medicine (miscellaneous),Neuroscience (miscellaneous)

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