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  3. Explore the potential mechanism of Huachansu injection against osteosarcoma via metabolomics, network pharmacology and bioinformatics

Explore the potential mechanism of Huachansu injection against osteosarcoma via metabolomics, network pharmacology and bioinformatics

  • Chin Med. 2025 Aug 5;20(1):120. doi: 10.1186/s13020-025-01179-x.
Jingjing Meng # 1,  Xiangqi Zhang # 1,  Danfeng Xiang 1 2,  Hanlu Liang 1 2,  Shuai Zhao 1 2,  Lingyan Xu 1,  Jiao Yang 1,  JunJun Chen 1,  Jingxian Zhang 3,  Yonglong Han 4 5
Affiliations

Affiliations

  • 1 Department of Pharmacy, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
  • 2 College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China.
  • 3 Department of Pharmacy, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China. jingxian0128@126.com.
  • 4 Department of Pharmacy, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China. yonglongh@sjtu.edu.cn.
  • 5 College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China. yonglongh@sjtu.edu.cn.
  • # Contributed equally.
PMID: 40764575 DOI: 10.1186/s13020-025-01179-x
Abstract

Aim: Huachansu injection (HCSI) shows effective medicinal functions against osteosarcoma. This study aimed to reveal the underlying mechanisms of HCSI against osteosarcoma by integrating metabolomics, network pharmacology and bioinformatics.

Methods: Metabolomics was used to identify different metabolites and pathways. Network pharmacology was utilized to predict the potential targets of HCSI against osteosarcoma. Differentially expressed lncRNAs and miRNAs were screened and the corresponding lncRNAs-miRNAs-mRNAs network were constructed through the GEO database and miRcode database. Machine learning and immune infiltration analysis were performed on the key target obtained from the intersection of network pharmacology and bioinformatics. The binding affinity between active compounds of HCSI and potential targets was evaluated by molecular docking. The underlying mechanisms were further validated by RT-qPCR and immunoblotting.

Results: Lipid metabolism pathways were obtained by non-target metabolomics enrichment. A total of 44 HCSI targets associated with osteosarcoma were collected by network pharmacology. Intersection of the mRNAs obtained from ceRNA network with the above 44 targets yielded eight common targets. The main target HMGCR were obtained by machine learning and RT-qPCR. The BCYRN1-miR-27a-3p-HMGCR axis was subsequently screened as the primary ceRNA regulatory network in HSCI against osteosarcoma. Molecular docking also showed an excellent affinity between the active compounds of HCSI and HMGCR. In vitro experiments demonstrated that HCSI down-regulated HMGCR, thereby reduced intracellular Cholesterol levels, and ultimately promoting osteosarcoma cell Apoptosis.

Conclusion: HCSI could inhibit osteosarcoma progression by regulating lipid metabolism through BCYRN1-miR-27a-3p-HMGCR axis, indicating that HCSI may provide insights for developing herbal medicine injection-based therapies for osteosarcoma.

Keywords

BCYRN1-miR-27a-3p-HMGCR axis; Huachansu injection; Lipid metabolism; Metabolomics; Network pharmacology; Osteosarcoma.

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