Network pharmacology and multi-omics validation of the Jianpi-Yishen formula in the treatment of chronic kidney disease

被引:0
|
作者
Li, Yuyan [1 ]
Luo, Yueming [2 ]
Hu, Yilan [3 ]
Li, Siting [4 ]
Li, Guandong [3 ]
Zhang, Wanyangchuan [5 ]
Gu, Xiufen [1 ]
Wang, Jianting [1 ]
Li, Shunmin [1 ]
Cheng, Hong [2 ]
机构
[1] Guangzhou Univ Chinese Med, Shenzhen Tradit Chinese Med Hosp, Dept Nephrol, Clin Med Coll 4, Shenzhen, Peoples R China
[2] Guangzhou Univ Chinese Med, Shenzhen Tradit Chinese Med Hosp, Clin Med Coll 4, Dept Geriatr, Shenzhen, Peoples R China
[3] Guangzhou Univ Chinese Med, Clin Med Coll 4, Shenzhen, Peoples R China
[4] Beijing Tongrentang Hosp Tradit Chinese Med, Beijing, Peoples R China
[5] Chongqing Red Cross Hosp, Peoples Hosp Jiangbei Dist, Dept Minimally Invas Intervent & Vasc Surg, Chongqing, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2025年 / 15卷
关键词
Jianpi-Yishen formula; chronic kidney disease; network pharmacology; macrophage polarization; multi-omics; BETAINE;
D O I
10.3389/fimmu.2024.1512519
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objective Chronic kidney disease (CKD) is a major global health problem. In clinical practice, the Chinese patent herbal medicine Jianpi-Yishen (JPYS) formula is commonly used to treat CKD. However, the molecular mechanisms by which JPYS targets and modulates the host immune response remain unclear.Methods This study utilized network pharmacology, RNA sequencing (RNA-seq), and metabolic analyses using in vivo and in vitro models to investigate the impact of the JPYS formula on inflammation and the immune system. Specifically, the study focused on macrophage polarization and metabolic changes that may slow down the progression of CKD.Results A total of 14,946 CKD-related targets were identified from the GeneCards and Online Mendelian Inheritance in Man (OMIM) databases through network pharmacology analyses. 227 potential targets of the JPYS formula were predicted using the TCMSP database. Additionally, network diagram demonstrated that 11 targets were associated with macrophage activity. In vivo studies indicated that the JPYS formula could reduce blood urea nitrogen and serum creatinine in adenine-induced CKD rats. Furthermore, the formula inhibited inflammatory damage and abnormal macrophage infiltration in this CKD model. RNA-seq, proteomic and metabolic analyses identified the regulation of amino acid metabolism by betaine, specifically referring to glycine, serine, and threonine metabolism, as a key target of the JPYS formula in slowing the progression of CKD. In addition, in vitro studies suggested that JPYS may enhance tryptophan metabolism in M1 macrophage polarization and betaine metabolism in M2 macrophage polarization.Conclusions The JPYS formula has been shown to have beneficial impact on CKD; a key mechanism is the mitigation of inflammatory damage through the interaction between amino acid metabolism and macrophage polarization. Of specific importance in this context are the roles of tryptophan in M1 polarization and betaine in M2 polarization.
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页数:13
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