loading page

Proteomic Insights into Diabetic Cystopathy: Identifying Key Protein Expression Changes in Bladder Tissue
  • +8
  • Sicong Zhang,
  • Jie Xu,
  • Qingyu Ge,
  • Zongyao Fan,
  • Weilong Li,
  • Ping Ao,
  • Yunpeng Shao,
  • Zhengsen Chen,
  • Jun Xue,
  • Baixin Shen,
  • Zhongqing Wei
Sicong Zhang
Author Profile
Jie Xu
The Second Affiliated Hospital of Nanjing Medical University
Author Profile
Qingyu Ge
The Second Affiliated Hospital of Nanjing Medical University
Author Profile
Zongyao Fan
The Second Affiliated Hospital of Nanjing Medical University
Author Profile
Weilong Li
Author Profile
Yunpeng Shao
The Second Affiliated Hospital of Nanjing Medical University
Author Profile
Zhengsen Chen
The Second Affiliated Hospital of Nanjing Medical University
Author Profile
Jun Xue
The Second Affiliated Hospital of Nanjing Medical University

Corresponding Author:xuejun7826@163.com

Author Profile
Baixin Shen
The Second Affiliated Hospital of Nanjing Medical University
Author Profile
Zhongqing Wei
The Second Affiliated Hospital of Nanjing Medical University
Author Profile

Abstract

Diabetic cystopathy (DCP) is a prevalent urinary complication in diabetes. Late-stage DCP can cause chronic urinary retention, significantly impacting the patient’s quality of life and even posing a risk to their lives. Therefore, it is crucial to investigate the pathogenesis and pathological characteristics of DCP. This study aims to utilize proteomics-related methods to uncover the pathogenesis of DCP by analyzing the differential protein expression profiles in the bladder tissue of diabetic rats and normal rats. Morphological analysis revealed notable changes in the bladder tissue of diabetic rats, including significant inflammatory cell infiltration and collagen fiber deposition. Immunohistological examination demonstrated increased apoptosis and decreased proliferation in the bladder tissue of diabetic rats. Quantitative proteomic analysis identified a total of 280 differentially expressed proteins between the two groups, with 193 proteins being down-regulated and 87 proteins being up-regulated. Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways indicated significant changes in protein expression profiles and signaling pathways in the bladder of diabetic rats. Additionally, transcription factor analysis revealed that the insulin-like growth factor-related protein family was the most affected. This study provides valuable evidence for identifying potential genes for the treatment of diabetic bladder.
03 Sep 2024Submitted to Clinical Applications
13 Sep 2024Submission Checks Completed
13 Sep 2024Assigned to Editor
13 Sep 2024Review(s) Completed, Editorial Evaluation Pending
13 Sep 2024Reviewer(s) Assigned