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

IF 5.7 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE
Jingjing Meng, Xiangqi Zhang, Danfeng Xiang, Hanlu Liang, Shuai Zhao, Lingyan Xu, Jiao Yang, JunJun Chen, Jingxian Zhang, Yonglong Han
{"title":"Explore the potential mechanism of Huachansu injection against osteosarcoma via metabolomics, network pharmacology and bioinformatics.","authors":"Jingjing Meng, Xiangqi Zhang, Danfeng Xiang, Hanlu Liang, Shuai Zhao, Lingyan Xu, Jiao Yang, JunJun Chen, Jingxian Zhang, Yonglong Han","doi":"10.1186/s13020-025-01179-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"20 1","pages":"120"},"PeriodicalIF":5.7000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12323198/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13020-025-01179-x","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INTEGRATIVE & COMPLEMENTARY MEDICINE","Score":null,"Total":0}
引用次数: 0

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.

从代谢组学、网络药理学、生物信息学等方面探讨花脓素注射液抗骨肉瘤的潜在机制。
目的:花参素注射液对骨肉瘤具有有效的治疗作用。本研究旨在结合代谢组学、网络药理学和生物信息学,揭示HCSI抗骨肉瘤的潜在机制。方法:采用代谢组学方法鉴定不同的代谢物和途径。利用网络药理学预测HCSI治疗骨肉瘤的潜在靶点。通过GEO数据库和miRcode数据库筛选差异表达的lncrna和mirna,构建相应的lncrna - mirna - mrna网络。对网络药理学和生物信息学交叉获得的关键靶点进行机器学习和免疫浸润分析。通过分子对接评价HCSI活性化合物与潜在靶点的结合亲和力。通过RT-qPCR和免疫印迹进一步验证了其潜在机制。结果:通过非靶代谢组学富集获得脂质代谢途径。网络药理学共收集44个与骨肉瘤相关的HCSI靶点。从ceRNA网络中获得的mrna与上述44个靶点相交产生8个共同靶点。主要目标HMGCR通过机器学习和RT-qPCR获得。BCYRN1-miR-27a-3p-HMGCR轴随后被筛选为HSCI对抗骨肉瘤的主要ceRNA调控网络。HCSI活性化合物与HMGCR之间的分子对接也显示出良好的亲和力。体外实验表明,HCSI下调HMGCR,从而降低细胞内胆固醇水平,最终促进骨肉瘤细胞凋亡。结论:HCSI可能通过BCYRN1-miR-27a-3p-HMGCR轴调节脂质代谢,从而抑制骨肉瘤的进展,这表明HCSI可能为骨肉瘤的草药注射疗法的开发提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chinese Medicine
Chinese Medicine INTEGRATIVE & COMPLEMENTARY MEDICINE-PHARMACOLOGY & PHARMACY
CiteScore
7.90
自引率
4.10%
发文量
133
审稿时长
31 weeks
期刊介绍: Chinese Medicine is an open access, online journal publishing evidence-based, scientifically justified, and ethical research into all aspects of Chinese medicine. Areas of interest include recent advances in herbal medicine, clinical nutrition, clinical diagnosis, acupuncture, pharmaceutics, biomedical sciences, epidemiology, education, informatics, sociology, and psychology that are relevant and significant to Chinese medicine. Examples of research approaches include biomedical experimentation, high-throughput technology, clinical trials, systematic reviews, meta-analysis, sampled surveys, simulation, data curation, statistics, omics, translational medicine, and integrative methodologies. Chinese Medicine is a credible channel to communicate unbiased scientific data, information, and knowledge in Chinese medicine among researchers, clinicians, academics, and students in Chinese medicine and other scientific disciplines of medicine.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信