4.5 Article

Integrative transcriptomic profiling of a mouse model of hypertension-accelerated diabetic kidney disease

Journal

DISEASE MODELS & MECHANISMS
Volume 14, Issue 10, Pages -

Publisher

COMPANY BIOLOGISTS LTD
DOI: 10.1242/dmm.049086

Keywords

Diabetic kidney disease; Mouse model; Laser-capture microdissection; Single-nucleus; Glomerulus; RNAseq

Funding

  1. Innovationsfonden [8053-00140B, 8053-00051B]

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The study used RNAseq to compare gene expression profiles in early and advanced diabetic kidney disease (DKD) mouse models, revealing that UNx-Renin mice had more pronounced gene components associated with immune system activation and extracellular matrix remodeling, supporting histological hallmarks of disease progression. Integration of RNAseq at different levels provided enhanced resolution of molecular pathways associated with DKD progression and may aid in identifying novel therapeutic targets.
The current understanding of molecular mechanisms driving diabetic kidney disease (DKD) is limited, partly due to the complex structure of the kidney. To identify genes and signalling pathways involved in the progression of DKD, we compared kidney cortical versus glomerular transcriptome profiles in uninephrectomized (UNx) db/db mouse models of early-stage (UNx only) and advanced [UNxplus adeno-associated virus-mediated renin-1 overexpression (UNx-Renin)] DKD using RNAseq. Compared to normoglycemic db/m mice, db/db UNx and db/db UNx-Renin mice showed marked changes in their kidney cortical and glomerular gene expression profiles. UNx-Renin mice displayed more marked perturbations in gene components associated with the activation of the immune system and enhanced extracellular matrix remodelling, supporting histological hallmarks of progressive DKD in this model. Single-nucleus RNAseq enabled the linking of transcriptome profiles to specific kidney cell types. In conclusion, integration of RNAseq at the cortical, glomerular and single-nucleus level provides an enhanced resolution of molecular signalling pathways associated with disease progression in preclinical models of DKD, and may thus be advantageous for identifying novel therapeutic targets in DKD.

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