Optimizing diabetic kidney disease animal models: Insights from a meta‐analytic approach
Abstract 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 pathogenesis of DKD and evaluate potential therapies. However, current animal models often fail to fully capture the pathological...
Main Authors: | Fanghong Li, Zhi Ma, Yajie Cai, Jingwei Zhou, Runping Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-10-01
|
Series: | Animal Models and Experimental Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1002/ame2.12350 |
Similar Items
-
Preclinical evidence of reno-protective effect of quercetin on acute kidney injury: a meta-analysis of animal studies
by: Yi-Fan Zeng, et al.
Published: (2023-12-01) -
A systematic review and meta-analysis of gut microbiota in diabetic kidney disease: Comparisons with diabetes mellitus, non-diabetic kidney disease, and healthy individuals
by: Shisheng Han, et al.
Published: (2022-10-01) -
Characterization of Enlarged Kidneys and Their Potential for Inducing Diabetes in DEK Rats
by: Ayaka Domon, et al.
Published: (2021-07-01) -
A strategic study of acupuncture for diabetic kidney disease based on meta-analysis and data mining
by: Yunfeng Yu, et al.
Published: (2024-02-01) -
Prevalence of Diabetes Mellitus among individuals with chronic kidney disease: systematic review and meta-analysis
by: Luiza Delazari Borges, et al.
Published: (2023-03-01)