Network pharmacology and bioinformatics reveal the multi-target mechanisms of the Qiang-gu-jian-shen formula osteoporosis treatment

Introduction: Osteoporosis (OP) is a systemic skeletal disease characterized by reduced bone mass and deteriorated bone microstructure, significantly increasing fracture risk. As global aging intensifies, OP has become a significant public health issue. Present pharmacological interventions, such as bisphosphonates and selective estrogen receptor modulators, are associated with side effects and limitations, highlighting the need for safe and effective alternatives. Objective: This study investigates the potential mechanisms of the Qiang-gu-jian-shen formula (QGJSF), a traditional Chinese medicine (TCM) compound, in treating OP using network pharmacology and bioinformatics. Methods: A total of 1,395 potential targets for QGJSF were identified by querying the TCMSP and BATMAN-TCM databases and converting targets through UniProt. Cross-referencing with OP-related targets from GeneCards, OMIM, and DisGeNET yielded 500 mapped targets. Protein-protein interaction network constructed through the STRING database led to the identification of 69 core targets. An “herb-active component-target” network was built using Cytoscape 3.9.0. Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses highlighted key pathways, including the PI3K/AKT and FoxO. Results: Molecular docking showed that key components, such as quercetin, dioscin, genistein, calycosin, and berberine, bind favorably to core targets (binding energies < −5 kcal/mol). GEO dataset (GSE5958) analysis identified seven common core genes, including TGFB1, MMP2, BCL2L1, MAPK3, AKT1, CTNNB1, and TP53. The findings suggest that QGJSF may improve OP through multiple components that regulate osteoblast differentiation, osteoclastogenesis, and activate key pathways, such as Wnt/β-catenin, PI3K/AKT, and JAK/STAT, thereby enhancing bone formation and reducing resorption. Core targets such as ESR1, STAT3, AKT1, and TP53 regulate bone metabolism by modulating osteoblasts, osteoclasts, and their interactions with immune and hematopoietic cells to maintain bone remodeling. Conclusion: This study advances understanding of QGJSF’s mechanisms and provides a foundation for novel OP therapies. Future validation and exploration of additional therapeutic targets and mechanisms are needed.

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Publication Details

Journal
Eurasian Journal of Medicine and Oncology
Published
2025-06-18
DOI
https://doi.org/10.36922/ejmo025150103
Primary Topic
Bone Metabolism and Diseases
Type
article
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0.00
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article

Network pharmacology and bioinformatics reveal the multi-target mechanisms of the Qiang-gu-jian-shen formula osteoporosis treatment

Farra Aidah Jumuddin, Can Zhou, Zarina Awang
2 links
Eurasian Journal of Medicine and Oncology
Bone Metabolism and Diseases
article

Network pharmacology and bioinformatics reveal the multi-target mechanisms of the Qiang-gu-jian-shen formula osteoporosis treatment

Farra Aidah Jumuddin, Can Zhou, Zarina Awang
article en

Abstract

Introduction: Osteoporosis (OP) is a systemic skeletal disease characterized by reduced bone mass and deteriorated bone microstructure, significantly increasing fracture risk. As global aging intensifies, OP has become a significant public health issue. Present pharmacological interventions, such as bisphosphonates and selective estrogen receptor modulators, are associated with side effects and limitations, highlighting the need for safe and effective alternatives. Objective: This study investigates the potential mechanisms of the Qiang-gu-jian-shen formula (QGJSF), a traditional Chinese medicine (TCM) compound, in treating OP using network pharmacology and bioinformatics. Methods: A total of 1,395 potential targets for QGJSF were identified by querying the TCMSP and BATMAN-TCM databases and converting targets through UniProt. Cross-referencing with OP-related targets from GeneCards, OMIM, and DisGeNET yielded 500 mapped targets. Protein-protein interaction network constructed through the STRING database led to the identification of 69 core targets. An “herb-active component-target” network was built using Cytoscape 3.9.0. Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses highlighted key pathways, including the PI3K/AKT and FoxO. Results: Molecular docking showed that key components, such as quercetin, dioscin, genistein, calycosin, and berberine, bind favorably to core targets (binding energies < −5 kcal/mol). GEO dataset (GSE5958) analysis identified seven common core genes, including TGFB1, MMP2, BCL2L1, MAPK3, AKT1, CTNNB1, and TP53. The findings suggest that QGJSF may improve OP through multiple components that regulate osteoblast differentiation, osteoclastogenesis, and activate key pathways, such as Wnt/β-catenin, PI3K/AKT, and JAK/STAT, thereby enhancing bone formation and reducing resorption. Core targets such as ESR1, STAT3, AKT1, and TP53 regulate bone metabolism by modulating osteoblasts, osteoclasts, and their interactions with immune and hematopoietic cells to maintain bone remodeling. Conclusion: This study advances understanding of QGJSF’s mechanisms and provides a foundation for novel OP therapies. Future validation and exploration of additional therapeutic targets and mechanisms are needed.

Eurasian Journal of Medicine and OncologyVol. 9(2)
Good health and well-being
Openalex Percentile: Top 87%
Bone Metabolism and Diseases
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