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KMID : 1011820210620010100
Investigative and Clinical Urology
2021 Volume.62 No. 1 p.100 ~ p.110
Transcriptional profiling of mouse cavernous pericytes under high-glucose conditions: Implications for diabetic angiopathy
Yin Guo Nan

Wu Jitao
Cui Yuanshan
Lin Chunhua
Shi Lei
Gao Zhen-Li
Suh Jun-Kyu
Ryu Ji-Kan
Jin Hai-Rong
Abstract
Purpose: Penile erection requires integrative interactions between vascular endothelial cells, pericytes, smooth muscle cells, and autonomic nerves. Furthermore, the importance of the role played by pericytes in the pathogenesis of angiopathy has only recently been appreciated. However, global gene expression in pericytes in diabetes mellitus-induced erectile dysfunction (DMED) remains unclear. We aimed to identify potential target genes related to DMED in mouse cavernous pericytes (MCPs).

Materials and Methods: Mouse cavernous tissue was allowed to settle under gravity in collagen I-coated dishes, and sprouted cells were subcultivated for experiments. To imitate diabetic conditions, MCPs were treated with normal-glucose (NG, 5 mM) or high-glucose (HG, 30 mM) media for 3 days. Microarray technology was used to evaluate gene expression profiles, and RT-PCR was used to validate sequencing data. Histological examinations and Western blot were used to validate final selected target genes related to DMED.

Results: Decreased tube formation and increased apoptosis were detected in MCPs exposed to the HG condition. As shown by microarray analysis, the gene expression profiles of MCPs exposed to the NG or HG condition differed. A total of 2,523 genes with significantly altered expression were classified into 15 major gene categories. After further screening based on gene expression and RT-PCR and histologic results, we found that Hebp1 gene expression was significantly diminished under the HG condition and in DM mice.

Conclusions: This gene profiling study provides new potential targets responsible for diabetes in MCPs. Validation studies suggest that Hebp1 may be a suitable biomarker for DMED.
KEYWORD
Diabetes mellitus, Erectile dysfunction, Gene expression, Microarray analysis
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