DOI: 10.1002/ame2.12350
Optimizing diabetic kidney disease animal models:Insights from a meta-analytic approach
Fanghong Li1
Zhi Ma2
Yajie Cai1
Jingwei Zhou3
Runping Liu1
1.School of Chinese Materia Medica,Beijing University of Chinese Medicine,Beijing,China2.School of Life Sciences,Beijing University of Chinese Medicine,Beijing,China3.Department of Nephrology,Dongzhimen Hospital,The First Affiliated Hospital of Beijing University of Chinese Medicine,Beijing,China
摘要：Diabetic kidney disease(DKD)is a prevalent complication of diabetes,often leading to end-stage renal disease.Animal models have been widely used to study the pathogen-esis of DKD and evaluate potential therapies.However,current animal models often fail to fully capture the pathological characteristics of renal injury observed in clinical patients with DKD.Additionally,modeling DKD is often a time-consuming,costly,and labor-intensive process.The current review aims to summarize modeling strategies in the establishment of DKD animal models by utilizing meta-analysis related methods and to aid in the optimization of these models for future research.A total of 1215 arti-cles were retrieved with the keywords of"diabetic kidney disease"and"animal experi-ment"in the past 10 years.Following screening,84 articles were selected for inclusion in the meta-analysis.Review manager 5.4.1 was employed to analyze the changes in blood glucose,glycosylated hemoglobin,total cholesterol,triglyceride,serum creati-nine,blood urea nitrogen,and urinary albumin excretion rate in each model.Renal lesions shown in different models that were not suitable to be included in the meta-analysis were also extensively discussed.The above analysis suggested that combin-ing various stimuli or introducing additional renal injuries to current models would be a promising avenue to overcome existing challenges and limitations.In conclusion,our review article provides an in-depth analysis of the limitations in current DKD animal models and proposes strategies for improving the accuracy and reliability of these models that will inspire future research efforts in the DKD research field.
机标关键词：insightskidneymodelsfromanimalapproachdiabeticdisease
论文发表日期：2023-10-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：19( 433-451 )
英文信息