The mechanisms of Qizhu Tangshen formula in the treatment of diabetic kidney disease: Network pharmacology, machine learning, molecular docking and experimental assessment

小桶 系统药理学 对接(动物) 药理学 计算生物学 PI3K/AKT/mTOR通路 信号转导 血管生成 化学 医学 生物信息学 生物 癌症研究 基因 基因表达 生物化学 基因本体论 内科学 药品 护理部
作者
Juqin Peng,Kuo Yang,Haoyu Tian,Yadong Lin,Min Hou,Yunxiao Gao,Xuezhong Zhou,Z Gao,Junguo Ren
出处
期刊:Phytomedicine [Elsevier]
卷期号:108: 154525-154525 被引量:9
标识
DOI:10.1016/j.phymed.2022.154525
摘要

Qizhu Tangshen Formula (QZTS) has been shown therapeutic effects on diabetic kidney disease (DKD). However, to date, the pharmacological mechanisms remain vague.To explore the underlying mechanisms of QZTS in treating DKD using network pharmacology, machine learning, molecular docking and experimental assessment.First, we found that QZTS improved glycolipid metabolism disorder, decreased proteinuria and alleviated kidney tissue injury in DKD model KKAy mice. Then, by integrating multiple databases, a total of 96 targets of 74 active compounds in QZTS and 759 DKD-related genes were acquired. Next, we identified 13 hub targets of QZTS in DKD by three rank algorithms, including functional similarity, topological similarity and shortest path. Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses demonstrated that the pathways mainly centered on the processes of glycolipid metabolism disorder, inflammation and angiogenesis. Among them, VEGF signaling pathway was significantly enriched. Molecular docking showed that key active compounds of QZTS all had relatively good binding affinity with predicted hub targets. Finally, animal experiments found that QZTS significantly inhibited the secretion of plasma VEGF and downregulated the protein and mRNA expression levels of AKT, p38MAPK and VEGFR2.Our results indicated that QZTS treated DKD via multiple targets and pathways and the VEGF signaling pathway may be highly involved in this process.
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