Network pharmacology and experimental validation of asiaticoside protecting against diabetic kidney disease by regulating 11β-hydroxysteroid dehydrogenase type 2
ZHU Qin BI Peng ZENG Jiali ZHANG Yang HU Lidan CAO Zhongkai ZHU Jingyu JIN Qinyang
Network pharmacology and experimental validation of asiaticoside protecting against diabetic kidney disease by regulating 11β-hydroxysteroid dehydrogenase type 2
摘要
关键词
diabetic kidney disease/asiaticoside/hydroxysteroid 11-beta dehydrogenase 2/network pharmacology/RNA-sequencing/molecular docking分类
医药卫生引用本文复制引用
ZHU Qin,BI Peng,ZENG Jiali,ZHANG Yang,HU Lidan,CAO Zhongkai,ZHU Jingyu,JIN Qinyang..Network pharmacology and experimental validation of asiaticoside protecting against diabetic kidney disease by regulating 11β-hydroxysteroid dehydrogenase type 2[J].Journal of Traditional Chinese Medicine,2026,46(3):P.641-651,11.基金项目
the National Natural Science Foundation of China for Young Scholars:Study on the Mechanism of Compound Centella Asiatica Mediate 24-dehydrocholesterol Reductase(DHCR24)/Liver X Receptor(LXR)Signaling Axis to Regulate Macrophage Activation and Alleviate Microinflammation in Diabetic Kidney Disease(Grant No.82205008) （DHCR24）
Medical Scientific Research Foundation of Zhejiang Province,China:Mechanistic Study of Asiaticoside in Regulating Macrophage Innate Immune Response in Diabetic Kidney Disease by Maintaining Cholesterol Homeostasis via the DHCR24/Desmosterol/LXR Signaling Axis(Grant No.2023RC242) （Grant No.2023RC242）
Zhejiang Traditional Medicine and Technology Program,China:Research on the Construction of a Knowledge Graph for the Academic Thoughts and Clinical Experience of Famous Traditional Chinese Medicine Practitioner Chen Hongyu in Diagnosing and Treating Diabetic Kidney Disease(Grant No.2023ZF137) （Grant No.2023ZF137）
Hangzhou Science and Technology Bureau project:Precise Diagnosis of Prostate Malignancies Using Artificial Intelligence(No.20231203A12) （No.20231203A12）
Special key research project of the Affiliated Hospital of Zhejiang University of Traditional Chinese Medicine:Study on Clinical Auxiliary Decision-Making Model for Professor Wang Yongjun in Diagnosis and Treatment of Diabetic Kidney Disease Based on Graph Convolutional Neural Network(No.2022FSYYZZ14)。 （No.2022FSYYZZ14）
