SYSTEMATIC REVIEW article
Front. Endocrinol.
Sec. Diabetes: Molecular Mechanisms
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1612473
This article is part of the Research TopicFuture Horizons in Diabetes: Integrating Gut Microbiota, AI, and Personalized CareView all 3 articles
Data Mining-based Analysis to Explore the Application of an Animal Model of Diabetic Gastroparesis
Provisionally accepted
- Guangxi University of Chinese Medicine, Nanning, China
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Abstract Objective: To study the characteristics of animal models of diabetic gastroparesis, provide a reference for the standardization of model preparation, and offer a better experimental basis for researching its pathogenesis and diagnosis-treatment strategies.Methods: By searching databases including PubMed, Web of Science, China Knowledge Network, Wanfang Data Knowledge Service Platform, and China Science and Technology Journal Database, we obtained literature on diabetic gastroparesis animal experiments from 2000 to 2024. We assessed the literature for the risk of bias using the Systematic Review Center for Laboratory Animal Experimentation tool. We summarized the animal species, sex, modeling methods, modeling criteria, detection indexes, etc., established a database using Excel software, and applied SPSS Modeler 18.0 and Cytoscape 3.7.2 to analyze the characteristics of diabetic gastroparesis animal models.Results: A total of 211 articles were included. It was found that Sprague-Dawley rats were the primary animal model, with male rats predominantly used in modeling. Modeling methods primarily included a one-time injection of streptozotocin (60–65 mg/kg) to induce type 1 diabetic gastroparesis or a one-time injection of streptozotocin (40–55 mg/kg) combined with a high-sugar and high-fat irregular diet to induce type 2 diabetic gastroparesis. Most studies set the modeling period as 8 weeks after drug administration. Blood glucose, general condition, and gastric emptying rate were commonly used as modeling criteria, and domperidone served as the positive control drug. Main detection indexes included blood glucose, general condition, gastrointestinal function dynamics, histopathological analysis, immunohistochemistry, Western blotting, etc.Conclusion: There is no recognized modeling method and evaluation standard for diabetic gastroparesis animal models. Based on the results of data analysis, it is recommended to use a one-time injection of streptozotocin (60-65 mg/kg) to induce type 1 diabetic gastroparesis animal model or a one-time injection of streptozotocin (40-55 mg/kg) combined with irregular feeding of high-sugar and high-fat feed to induce type 2 diabetic gastroparesis animal model. Blood glucose, general condition, and gastric emptying rate were used to judge the models.
Keywords: Diabetic gastroparesis, animal model, Data Mining, Application analysis, Detection indexes
Received: 15 Apr 2025; Accepted: 17 Jun 2025.
Copyright: © 2025 Fan, Xu, Miao and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yushan Fan, Guangxi University of Chinese Medicine, Nanning, China
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