Network Pharmacology and Experimental Validation Reveal Sishen Pill’s Efficacy in Treating NSAID-Induced Small Intestinal Ulcers

Jiaying Zhou,1 Fengting Zhu,1 Huixian Liang,1 Leimin Sun2 1Department of Gastroenterology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People’s Republic of China; 2Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of ChinaCorrespondence: Leimin Sun, Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, People’s Republic of China, Email [email protected]: Nonsteroidal anti-inflammatory drugs (NSAIDs) are widely used but often cause small intestinal ulcers (SIUs), for which effective therapies are lacking. Sishen Pill (SSP), a traditional Chinese medicine, shows therapeutic promise, yet its mechanisms remain unclear. This study integrates network pharmacology, molecular docking, and experimental validation to systematically investigate SSP’s protective mechanisms against NSAID-induced SIUs.Patients and Methods: Active SSP ingredients were screened using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Encyclopedia of Traditional Chinese Medicine (ETCM) databases. SIU-related targets were retrieved from GeneCards and DisGeNET. Protein-protein interaction (PPI) networks were constructed via STRING and Cytoscape, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Molecular docking (AutoDock Vina, PyMOL) validated ligand-target interactions. In vivo validation employed an indomethacin-induced SIU rat model to assess SSP’s effects on ulcer severity, inflammation, oxidative stress, and PI3K/AKT signaling.Results: We identified 66 bioactive SSP ingredients, 222 drug targets, and 144 SIU-related targets. Molecular docking revealed high binding affinity of SSP components (quercetin, bavachinin, rutaecarpine, evodiamine) to key targets (AKT1, HSP90AA1, IL6, MAPK1, BCL2). KEGG analysis highlighted the PI3K/AKT pathway as central. In vivo, SSP reduced ulcer indices, suppressed pro-inflammatory cytokines (TNF-α, IL-1β, IL-6), and attenuated oxidative stress. SSP also downregulated PI3K and AKT1 mRNA expression, confirming pathway modulation.Conclusion: This study elucidates SSP’s multi-target mechanism against NSAID-induced SIUs, emphasizing its role in suppressing inflammation, oxidative stress, and PI3K/AKT signaling. These findings provide a scientific foundation for SSP’s clinical application and highlight its potential as a safe, effective alternative to conventional therapies.Keywords: nonsteroidal anti-inflammatory drugs, Sishen Pill, small intestine ulcers, network pharmacology, inflammation

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SHILAP Revista de lepidopterología
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2025-03-01
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Magnetic Field Sensors Techniques
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article

Network Pharmacology and Experimental Validation Reveal Sishen Pill’s Efficacy in Treating NSAID-Induced Small Intestinal Ulcers

SHILAP Revista de lepidopterología
Magnetic Field Sensors Techniques
article

Network Pharmacology and Experimental Validation Reveal Sishen Pill’s Efficacy in Treating NSAID-Induced Small Intestinal Ulcers

article en

Abstract

Jiaying Zhou,1 Fengting Zhu,1 Huixian Liang,1 Leimin Sun2 1Department of Gastroenterology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People’s Republic of China; 2Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of ChinaCorrespondence: Leimin Sun, Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, People’s Republic of China, Email [email protected]: Nonsteroidal anti-inflammatory drugs (NSAIDs) are widely used but often cause small intestinal ulcers (SIUs), for which effective therapies are lacking. Sishen Pill (SSP), a traditional Chinese medicine, shows therapeutic promise, yet its mechanisms remain unclear. This study integrates network pharmacology, molecular docking, and experimental validation to systematically investigate SSP’s protective mechanisms against NSAID-induced SIUs.Patients and Methods: Active SSP ingredients were screened using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Encyclopedia of Traditional Chinese Medicine (ETCM) databases. SIU-related targets were retrieved from GeneCards and DisGeNET. Protein-protein interaction (PPI) networks were constructed via STRING and Cytoscape, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Molecular docking (AutoDock Vina, PyMOL) validated ligand-target interactions. In vivo validation employed an indomethacin-induced SIU rat model to assess SSP’s effects on ulcer severity, inflammation, oxidative stress, and PI3K/AKT signaling.Results: We identified 66 bioactive SSP ingredients, 222 drug targets, and 144 SIU-related targets. Molecular docking revealed high binding affinity of SSP components (quercetin, bavachinin, rutaecarpine, evodiamine) to key targets (AKT1, HSP90AA1, IL6, MAPK1, BCL2). KEGG analysis highlighted the PI3K/AKT pathway as central. In vivo, SSP reduced ulcer indices, suppressed pro-inflammatory cytokines (TNF-α, IL-1β, IL-6), and attenuated oxidative stress. SSP also downregulated PI3K and AKT1 mRNA expression, confirming pathway modulation.Conclusion: This study elucidates SSP’s multi-target mechanism against NSAID-induced SIUs, emphasizing its role in suppressing inflammation, oxidative stress, and PI3K/AKT signaling. These findings provide a scientific foundation for SSP’s clinical application and highlight its potential as a safe, effective alternative to conventional therapies.Keywords: nonsteroidal anti-inflammatory drugs, Sishen Pill, small intestine ulcers, network pharmacology, inflammation

SHILAP Revista de lepidopterología
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Magnetic Field Sensors Techniques
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