Network pharmacology and molecular docking of endogenous active metabolites in diabetic kidney disease.

ABSTRACT:

Objectives

Network pharmacology and molecular docking were used to predict endogenous active metabolites with protective effects in diabetic kidney disease (DKD).

Methods

We utilized metabolomics to screen differentially expressed metabolites in kidney tissues of mice with type 2 DKD and predicted potential targets using relevant databases. The interaction network between endogenous active metabolites and target proteins was established by integrating differentially expressed metabolites and proteins associated with DKD identified through proteomics. Gene ontology (GO) and signaling pathway enrichment analysis were performed. The biological functions of the active candidate metabolites and their effects on downstream pathways were also verified.

Results

Metabolomics r

SUBMITTER: Xie X 

PROVIDER: S-EPMC10763839 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature