Dataset Information

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

ABSTRACT: 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

ORGANISM(S): Mus Sp.

SUBMITTER: Hong Cheng

PROVIDER: PXD059614 | iProX | Fri Jan 10 00:00:00 GMT 2025

REPOSITORIES: iProX

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

Li Yuyan Y Luo Yueming Y Hu Yilan Y Li Siting S Li Guandong G Zhang Wanyangchuan W Gu Xiufen X Wang Jianting J Li Shunmin S Cheng Hong H

Frontiers in immunology 20250114

<h4>Objective</h4>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.<h4>Methods</h4>This study utilized network pharmacology, RNA sequencing (RNA-seq), and metabolic analyses using <i>in vivo</i> and <i>in vitro</i> models to investigate the impact of the JPYS ...[more]

PMID: 39877349

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Dataset Information

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

Publications

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

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