Network Pharmacology Study on the Mechanisms of <i>Panax Notoginseng</i> in the Treatment of Diabetic Retinopathy and Cataract

<b>Background:</b> Diabetic retinopathy (DR) and diabetic cataract (DC) are two closely related microvascular complications of diabetes. <i>Panax notoginseng</i>, a plant from the Araliaceae family and genus Panax, is widely used in traditional Chinese medicine (TCM) due to its antioxidant, anti-inflammatory, and blood circulation-promoting properties. Recent studies suggest that drugs possessing anti-inflammatory, antioxidant, and blood circulation-promoting characteristics may have unexpected benefits in treating diabetic microvascular complications. This study employs network pharmacology to investigate the mechanisms by which <i>P. notoginseng</i> can treat DR and DC as comorbidities. <b>Objective:</b> The study aims to explore the active components and biological mechanisms of <i>P. notoginseng</i> in treating these comorbidities using network pharmacology and molecular docking. <b>Methods:</b> Components of <i>P. notoginseng</i> were identified through literature reviews and database queries. Active components were selected based on drug-like principles, and their targets were predicted using the principle of similarity. Disease-related genes were collected from OMIM and GeneCards and scored. Venn analysis identified target nodes, followed by protein-protein interaction (PPI) network analysis, gene ontology (GO) analysis, and KEGG pathway analysis. Topological algorithms analyzed the PPI network, and key nodes combined with other analysis results were utilized to construct a <i>P. notoginseng</i>-active component-gene-phenotype network using Cytoscape 3.9.1. Molecular docking on key genes, integrated with biological background, determined potential therapeutic targets against the diseases. <b>Results:</b> <i>P. notoginseng</i> contains eight active components and 234 potential gene targets. Network analysis showed that <i>P. notoginseng</i> can repair microvascular damage by influencing disease-related signaling pathways. Molecular docking indicated that four key targets (SRC, JAK2, IGF1R, and EGFR) effectively bind to the active components of <i>P. notoginseng</i>. <b>Conclusion:</b> These findings provide insights into the molecular-level action of <i>P. notoginseng</i> against these diseases. Overall, this study enhances our understanding of the potential of <i>P. notoginseng</i> in treating DR and DC as comorbidities and establishes a foundation for further research.

Authors

Institutions

Publication Details

Journal
Applied Bionics and Biomechanics
Published
2025-01-01
DOI
https://doi.org/10.1155/abb/6687606
Primary Topic
Ginseng Biological Effects and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Network Pharmacology Study on the Mechanisms of Panax Notoginseng in the Treatment of Diabetic Retinopathy and Cataract

Guangquan Ji, Yi Xu, Ting Zhang, Wenxue Liang et al.
Applied Bionics and Biomechanics
Ginseng Biological Effects and Applications
article

Network Pharmacology Study on the Mechanisms of Panax Notoginseng in the Treatment of Diabetic Retinopathy and Cataract

Guangquan Ji, Yi Xu, Ting Zhang, Wenxue Liang, Lei Wang, Pan Shi, Xi Lin, Tingting Feng
article en

Abstract

<b>Background:</b> Diabetic retinopathy (DR) and diabetic cataract (DC) are two closely related microvascular complications of diabetes. <i>Panax notoginseng</i>, a plant from the Araliaceae family and genus Panax, is widely used in traditional Chinese medicine (TCM) due to its antioxidant, anti-inflammatory, and blood circulation-promoting properties. Recent studies suggest that drugs possessing anti-inflammatory, antioxidant, and blood circulation-promoting characteristics may have unexpected benefits in treating diabetic microvascular complications. This study employs network pharmacology to investigate the mechanisms by which <i>P. notoginseng</i> can treat DR and DC as comorbidities. <b>Objective:</b> The study aims to explore the active components and biological mechanisms of <i>P. notoginseng</i> in treating these comorbidities using network pharmacology and molecular docking. <b>Methods:</b> Components of <i>P. notoginseng</i> were identified through literature reviews and database queries. Active components were selected based on drug-like principles, and their targets were predicted using the principle of similarity. Disease-related genes were collected from OMIM and GeneCards and scored. Venn analysis identified target nodes, followed by protein-protein interaction (PPI) network analysis, gene ontology (GO) analysis, and KEGG pathway analysis. Topological algorithms analyzed the PPI network, and key nodes combined with other analysis results were utilized to construct a <i>P. notoginseng</i>-active component-gene-phenotype network using Cytoscape 3.9.1. Molecular docking on key genes, integrated with biological background, determined potential therapeutic targets against the diseases. <b>Results:</b> <i>P. notoginseng</i> contains eight active components and 234 potential gene targets. Network analysis showed that <i>P. notoginseng</i> can repair microvascular damage by influencing disease-related signaling pathways. Molecular docking indicated that four key targets (SRC, JAK2, IGF1R, and EGFR) effectively bind to the active components of <i>P. notoginseng</i>. <b>Conclusion:</b> These findings provide insights into the molecular-level action of <i>P. notoginseng</i> against these diseases. Overall, this study enhances our understanding of the potential of <i>P. notoginseng</i> in treating DR and DC as comorbidities and establishes a foundation for further research.

Applied Bionics and BiomechanicsVol. 2025(1)
Xuzhou Medical College (CN), Lianyungang Oriental Hospital (CN), The First People’s Hospital of Lianyungang (CN), Nanjing Medical University (CN), Jinzhou Medical University (CN)
Jiangsu Commission of Health
Good health and well-being
Openalex Percentile: Top 91%
Ginseng Biological Effects and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.