Related Experiment Video
Updated: Feb 3, 2026

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
Published on: May 10, 2024
Integrated network pharmacology and bioinformatics analysis reveals MME as key target of Notoginsenoside R1 in
Xinyu Gan1,2, Mingzhu Liang2, Halinuer Shadekejiang2
1School of Life Science and Technology, Xinjiang University, Urumqi, Xinjiang, 830046, China.
Background:
Diabetic nephropathy (DN) is a major diabetes complication and a primary cause of end-stage renal failure. Notoginsenoside R1 (NGR1) is known to reduce proteinuria, exert hypoglycemic effects, and enhance renal function in DN patients. However, the exact mechanisms by which NGR1 affects DN are not well understood.
Methods:
An integrative approach combining multi-omics bioinformatics and experimental validation was employed. We analyzed GEO datasets (GSE30122, GSE96804) to identify differentially expressed genes and performed WGCNA to define key modules. Network pharmacology predicted NGR1 targets, which were refined via machine learning (LASSO and Random Forest). Immune infiltration was assessed by CIBERSORT. Molecular docking and dynamics simulations evaluated binding interactions. In vitro functional validation used high glucose (HG)-injured MPC5 podocytes, with MME-specific inhibitor (Thiorphan), confirming target necessity.
Results:
Bioinformatic analysis identified three core targets, MME, PTGS2, and S100A9, within the DN pathological network. Functional enrichment revealed their involvement in oxidative stress detoxification, TGF-β-mediated fibrosis, and AGE-RAGE signaling pathways. Immune infiltration analysis indicated an aberrant increase in M0/M2 macrophages and activated mast cells, alongside a reduction in protective γδ T cells, with core targets showing strong correlations with specific immune subsets. Subsequent molecular docking and dynamics simulations indicated that NGR1 exhibited the strongest binding affinity for MME, among the three targets. Corroborating these findings, in vitro experiments confirmed that NGR1 specifically upregulates MME expression transcriptionally and translationally. Crucially, NGR1 counteracted HG-induced oxidative stress, fibrosis, and inflammation. These protective effects were largely abolished upon MME inhibition, demonstrating MME's essential role in this process.
Conclusion:
This study suggests that NGR1 may exert renoprotective effects in DN potentially through MME modulation, which appears to mitigate oxidative stress, inflammation, and fibrosis. The findings indicate MME could serve as a promising therapeutic target, providing preliminary mechanistic insights for developing targeted DN therapies.
More Related Videos
Related Concept Videos
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Key Techniques in Microbiology
Key Elements for Plant Nutrition
Network Covalent Solids
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
Integration by Parts: Indefinite Integrals

