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Induced diabetic neurogenic bladder animal models: application characteristics and standardization proposals via
Aihong Jin1, Xiankang Shao1, Xiaoping Liang2
1Department of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Frontiers in Endocrinology
|July 22, 2026
Summary
Diabetic neurogenic bladder (DNB) animal models lack standardized protocols. This study analyzes 352 studies, identifying common methods and criteria, and suggests improvements for future research on DNB.
Area of Science:
- Urology
- Diabetology
- Neuroscience
- Animal Modeling
Background:
- Diabetic neurogenic bladder (DNB) is a significant complication of diabetes mellitus, potentially leading to severe renal damage.
- Current DNB animal models lack unified standards, hindering research progress and reliable data interpretation.
- Previous reviews have not provided sufficient objective data to guide the development of standardized DNB models.
Purpose of the Study:
- To systematically summarize the characteristics of existing Diabetic Neurogenic Bladder (DNB) animal models.
- To provide a theoretical reference for establishing standardized DNB animal models through data mining.
- To address the research gap concerning objective data in DNB animal model reviews.
Main Methods:
- Systematic literature search across 7 databases (PubMed, CNKI, etc.) following PRISMA guidelines.
- Inclusion of 352 eligible studies for analysis, with quality assessment using the SYRCLE tool.
- Data mining and statistical analysis using SPSS Modeler (Apriori algorithm) and R software for visualization.
Main Results:
- SD rats, Wistar rats, and C57BL/6 mice are predominant species; 82.39% of models used male animals.
- Chemical induction, primarily streptozotocin (STZ) (74.15%), is the main method, often combined with high-sugar/high-fat diets.
- Successful modeling criteria include blood glucose, urodynamics, and HbA1c; common STZ dose is 60 mg/kg over 8 weeks, but biases like insufficient blinding exist.
Conclusions:
- This study provides clarity on the current status of DNB animal models, filling a gap in existing literature.
- Future research should prioritize optimizing modeling protocols and promoting non-invasive detection methods.
- Enhancing standardized reporting of study details is crucial for improving the reliability and comparability of DNB animal models.