Potential Therapeutic Targets of Rehmannia Formulations on Diabetic Nephropathy: A Comparative Network Pharmacology Analysis

被引:9
|
作者
Chan, Kam Wa [1 ]
Yu, Kam Yan [1 ]
Yiu, Wai Han [1 ]
Xue, Rui [1 ]
Lok, Sarah Wing-Yan [1 ]
Li, Hongyu [1 ]
Zou, Yixin [1 ]
Ma, Jinyuan [1 ]
Lai, Kar Neng [1 ]
Tang, Sydney Chi-Wai [1 ]
机构
[1] Univ Hong Kong, Dept Med, Hong Kong, Peoples R China
关键词
integrative medicine; traditional Chinese medicine; diabetic nephropathy; chronic kidney disease; Rehmannia; mechanism; network pharmacology; TNF; ALDOSTERONE SYSTEM BLOCKADE; FREE-ENERGY CALCULATIONS; GLYCATION END-PRODUCTS; CHRONIC KIDNEY-DISEASE; STAGE RENAL-DISEASE; TNF RECEPTORS 1; CLINICAL-SIGNIFICANCE; INSULIN-RESISTANCE; TRP CHANNELS; HYPERFILTRATION;
D O I
10.3389/fphar.2022.794139
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: Previous retrospective cohorts showed that Rehmannia-6 (R-6, Liu-wei-di-huang-wan) formulations were associated with significant kidney function preservation and mortality reduction among chronic kidney disease patients with diabetes. This study aimed to investigate the potential mechanism of action of common R-6 variations in a clinical protocol for diabetic nephropathy (DN) from a system pharmacology approach.Study Design and Methods: Disease-related genes were retrieved from GeneCards and OMIM by searching "Diabetic Nephropathy" and "Macroalbuminuria". Variations of R-6 were identified from a published existing clinical practice guideline developed from expert consensus and pilot clinical service program. The chemical compound IDs of each herb were retrieved from TCM-Mesh and PubChem. Drug targets were subsequently revealed via PharmaMapper and UniProtKB. The disease gene interactions were assessed through STRING, and disease-drug protein-protein interaction network was integrated and visualized by Cytoscape. Clusters of disease-drug protein-protein interaction were constructed by Molecular Complex Detection (MCODE) extension. Functional annotation of clusters was analyzed by DAVID and KEGG pathway enrichment. Differences among variations of R-6 were compared. Binding was verified by molecular docking with AutoDock.Results: Three hundred fifty-eight genes related to DN were identified, forming 11 clusters which corresponded to complement and coagulation cascades and signaling pathways of adipocytokine, TNF, HIF-1, and AMPK. Five variations of R-6 were analyzed. Common putative targets of the R-6 variations on DN included ACE, APOE, CCL2, CRP, EDN1, FN1, HGF, ICAM1, IL10, IL1B, IL6, INS, LEP, MMP9, PTGS2, SERPINE1, and TNF, which are related to regulation of nitric oxide biosynthesis, lipid storage, cellular response to lipopolysaccharide, inflammatory response, NF-kappa B transcription factor activity, smooth muscle cell proliferation, blood pressure, cellular response to interleukin-1, angiogenesis, cell proliferation, peptidyl-tyrosine phosphorylation, and protein kinase B signaling. TNF was identified as the seed for the most significant cluster of all R-6 variations. Targets specific to each formulation were identified. The key chemical compounds of R-6 have good binding ability to the putative protein targets.Conclusion: The mechanism of action of R-6 on DN is mostly related to the TNF signaling pathway as a core mechanism, involving amelioration of angiogenesis, fibrosis, inflammation, disease susceptibility, and oxidative stress. The putative targets identified could be validated through clinical trials.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Integrative analysis of potential diagnostic markers and therapeutic targets for glomerulus-associated diabetic nephropathy based on cellular senescence
    Sun, Donglin
    Wei, Shuqi
    Wang, Dandan
    Zeng, Min
    Mo, Yihao
    Li, Huafeng
    Liang, Caixing
    Li, Lu
    Zhang, Jun Wei
    Wang, Li
    FRONTIERS IN IMMUNOLOGY, 2024, 14
  • [32] Drosophila Renal Organ as a Model for Identification of Targets and Screening of Potential Therapeutic Agents for Diabetic Nephropathy
    Rani, Lavi
    Gautam, Naveen Kumar
    CURRENT DRUG TARGETS, 2018, 19 (16) : 1980 - 1990
  • [33] Lipophagy: A Potential Therapeutic Target for Diabetic Nephropathy
    Yang, Ming
    Song, Panai
    Zhao, Li
    Wang, Xi
    CURRENT MEDICINAL CHEMISTRY, 2023, 30 (16) : 1875 - 1886
  • [34] The podocyte: a potential therapeutic target in diabetic nephropathy?
    Marshall, Sally M.
    CURRENT PHARMACEUTICAL DESIGN, 2007, 13 (26) : 2713 - 2720
  • [35] Autophagy and its therapeutic potential in diabetic nephropathy
    Han, Yu-Peng
    Liu, Li-Juan
    Yan, Jia-Lin
    Chen, Meng-Yuan
    Meng, Xiang-Fei
    Zhou, Xin-Ru
    Qian, Ling-Bo
    FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [36] Study on the Therapeutic Mechanism of Sanhuang Xiexin Decoction on Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking
    Chen, Ying
    Qian, Liting
    Guan, Jing
    Liu, Pengju
    Yu, Cheng
    Song, Danning
    Jiang, Shuang
    LATIN AMERICAN JOURNAL OF PHARMACY, 2023, 42 (07): : 1515 - 1522
  • [37] Metabonomic analysis of potential biomarkers and drug targets involved in diabetic nephropathy mice
    Tingting Wei
    Liangcai Zhao
    Jianmin Jia
    Huanhuan Xia
    Yao Du
    Qiuting Lin
    Xiaodong Lin
    Xinjian Ye
    Zhihan Yan
    Hongchang Gao
    Scientific Reports, 5
  • [38] Metabonomic analysis of potential biomarkers and drug targets involved in diabetic nephropathy mice
    Wei, Tingting
    Zhao, Liangcai
    Jia, Jianmin
    Xia, Huanhuan
    Du, Yao
    Lin, Qiuting
    Lin, Xiaodong
    Ye, Xinjian
    Yan, Zhihan
    Gao, Hongchang
    SCIENTIFIC REPORTS, 2015, 5
  • [39] Exploring the targets and molecular mechanism of glycyrrhetinic acid against diabetic nephropathy based on network pharmacology and molecular docking
    Meng, Fan-Di
    Yuan, Ling
    Xu, Duo-Jie
    Che, Meng-Ying
    Hou, Shao-Zhang
    Lu, Dou-Dou
    Liu, Wen-Jing
    Nan, Yi
    WORLD JOURNAL OF DIABETES, 2023, 14 (11) : 1672 - 1692
  • [40] Network pharmacology study of Yishen capsules in the treatment of diabetic nephropathy
    Fang, Jingai
    Wang, Chendan
    Zheng, Jie
    Liu, Yuxiang
    PLOS ONE, 2022, 17 (09):