基于数据挖掘的糖尿病心肌病动物模型应用分析
作者:
作者单位:

1.河南中医药大学第一附属医院心脏中心,郑州 450000;2.河南中医药大学第一临床医学院,郑州 450000;3.中西医防治重大疾病河南省协同创新中心,郑州 450000;4.河南中医药大学第一附属医院河南省中药安全评价与风险防控工程研究中心,郑州 450000

作者简介:

通讯作者:

中图分类号:

R542. 2;R587. 1;R-332

基金项目:


Analysis of diabetic cardiomyopathy animal models based on data mining
Author:
Affiliation:

1. Heart Center, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450000, China.2. the First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou 450000. 3. Collaborative Innovation Center of Prevention and Treatment of Major Diseases by Chinese and Western Medicine, Henan Province,Zhengzhou 450000. 4. the First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Henan Engineering Research Center of Chinese Medicine Safety Evaluation and Risk Prevention and Control, Zhengzhou 450000

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的 通过统计分析国内外在构建糖尿病心肌病(DCM)动物模型时所涉及的关键造模要素及检测指标,以建立能够真实反映 DCM 发病机制的动物模型,为提高造模成功率和 DCM 动物模型建立标准提供有价值的参考。 方法 在中国知网、万方、维普、PubMed、Web of Science 数据库中检索近 10 年有关 DCM动物实验的期刊文献,整理归纳实验动物种类、性别、年龄、体质量、造模方法、发文量和发文质量、阳性对照药种类及给药周期、检测指标、造模标准等,建立数据库并运用 Excel 2021、Origin 2022、SPSS Modeler 18. 0、Cytoscape 3. 10. 3 进行统计分析。 结果 共纳入 228 篇文献。 多采用高糖高脂饮食联合链脲佐菌素诱导雄性SD 大鼠制备 DCM 动物模型;一般通过血糖和超声心动图评估造模是否成功;使用的高频检测手段是 Western blot 和 HE 染色;在含有阳性对照药的研究中,应用最多的是二甲双胍,其次是罗格列酮。 结论 目前 DCM 动物模型仍缺乏系统的中医证候评价,造模方法和造模标准暂未统一,未来 DCM 动物模型造模方法和评价体系还有待进一步完善。

    Abstract:

    Objective To establish an animal model reflecting the pathogenesis of diabetic cardiomyopathy (DCM) by analysis of key modeling elements and detection indexes involved in the construction of animal models of DCM, to provide valuable references to improve the success rate of modeling and establish a standard for DCM animal models. Methods We searched the CNKI, Wanfang, VIP, PubMed, and Web of Science databases for the past 10 years to identify relevant articles on animal experiments of DCM. We organized and summarized the data including experimental animal species, gender, age, body weight, modeling method , publication volume and quality, types of positive control drugs and administration cycles, detection indexes, and modeling standards. We then established a database and carried out a statistical analysis of the result using Excel 2021, Origin 2022, SPSS Modeler 18. 0, and Cytoscape 3. 10. 3. Results A total of 228 papers were included in the analysis. Most of the DCM animal models were prepared in male Sprague-Dawley rats induced by a high-sugar and high-fat diet combined with streptozotocin.Modeling success was generally assessed by blood glucose and echocardiography. Western blot and hematoxylin / eosin staining were frequently used, and in studies containing positive control drugs, the most frequently used drug was metformin, followed by rosiglitazone. Conclusions DCM animal models currently lack a systematic evaluation of Chinese medicine syndrome patterns, and the modeling method and standards have not been unified. Further studies are therefore needed to improve the modeling method and evaluation system for DCM animal modes.

    参考文献
    相似文献
    引证文献
引用本文

谢雨新,李 彬,郑婷婷,李卓毅,高 原,于 瑞.基于数据挖掘的糖尿病心肌病动物模型应用分析[J].中国比较医学杂志,2026,36(10):29~42.

复制
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2025-09-19
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2026-06-25
  • 出版日期: