• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

[title missed]

Corresponding author: CHEN Yangbo, jiangjiahui1023@163.com
DOI: 10.12201/bmr.202511.00088
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Objective This study aims to systematically elucidate the potential mechanism of Buzhong Yiqi formula in intervening Sarcopenia through network pharmacology and molecular docking techniques.Methods Active components of the 7 medicinal herbs in Buzhong Yiqi formula were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP);targets of these active components were obtained via TCMSP and the Swiss Target Prediction database;Sarcopenia-related disease targets were extracted from disease database;a Venn diagram was plotted using the online tool Venny 2.1.0 to identify the intersection between the targets of the active components in the Chinese herbal compound and the disease targets;the intersecting targets were imported into the STRING database to construct a protein-protein interaction(PPI) network,and furthermore,Cytoscape 3.10.3 software was used to draw the drug-component-target network diagram and the PPI network diagram,respectively;on this basis,Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted using the Metascape platform to reveal the biological processes and signaling pathway mechanisms;finally,Autodock Vina 1.5.6 was used for molecular docking verification between core components and key targets,and Pymol 3.0.3 was employed to visualize the results.Results 182 active components and 1139 component targets of Buzhong Yiqi formula were retrieved,along with 415 Sarcopenia-related disease targets,resulting in 62 intersecting targets.Among these,5 main active components were screened out,including quercetin,kaempferol,naringenin,isotrifoliol, and isorhamnetin,and 6 core targets were identified,namely Protein kinase B1(AKT1),Tumor Necrosis Factor(TNF),Tumor Protein p53(TP53),Interleukin 6(IL6),Estrogen Receptor α(ESR1),and Interleukin 1beta(IL1β),which are involved in signaling pathways such as the TNF signaling pathway,insulin resistance,and the adipocytokine signaling pathway;molecular docking analysis showed that the core active components of Buzhong Yiqi formula exhibited strong binding activity and stability with the key targets of Sarcopenia.Conclusion Buzhong Yiqi formula can exert a potential therapeutic effect on Sarcopenia through multiple active components,action targets,and biological pathways.

    Key words: ; ; ; 

    Submit time: 27 November 2025

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
  • 图表

  • LI Suping, HONG Suru, WU Xiayang. Based on network pharmacology and molecular docking technology to explore the molecular mechanism of Oulongma oral drops in the treatment of allergic rhinitis. 2025. doi: 10.12201/bmr.202508.00023

    HONG Suru, WU Xiayang. Exploring the Molecular Mechanism of Fengliao Changweikang in the Treatment of Irritable Bowel Syndrome Based on Network Pharmacology and Molecular Docking Technology. 2025. doi: 10.12201/bmr.202504.00022

    CHENG Yanyan, HE Jiayu, RUAN Yuhe, LI Zixin, ZHANG Ying. Exploration of the medication rules and mechanism of traditional Chinese medicine in treatment of cancer-related insomnia based on data mining, network pharmacology and molecular dynamics simulation.. 2025. doi: 10.12201/bmr.202510.00051

    Yuan Zhenzhong. Mechanism of Relieves insomnia Effect of Jiaotai Pills Based on Network Pharmacology. 2024. doi: 10.12201/bmr.202408.00069

    Wei Chunshan. Exploring medication rules and mechanism for liver cancer based on data mining and network pharmacology. 2024. doi: 10.12201/bmr.202407.00040

    wendaiwei, limingdeng, linkunfeng. Exploring the mechanism of Xiaochaihu Decoction combined with Gualou Xiebai in the intervention of gastroesophageal reflux disease with chest tightness based on network pharmacology. 2025. doi: 10.12201/bmr.202511.00084

    Wen yiqun, LU Lingjuan. Based on data mining and network pharmacology, this paper explores the medication rules of traditional Chinese medicine in the treatment of senile deafness. 2025. doi: 10.12201/bmr.202506.00077

    LIANG Ningjuan, WU Ting, YU Dandan, JIANG Xiaohan, TENG Jingjing. Effective exploration of the toxicity and molecular mechanisms of plasticisers in pulmonary fibrosis by network toxicology and molecular docking strategies: an example of butylbenzyl phthalate. 2025. doi: 10.12201/bmr.202504.00004

    Wang Ken, Jiao Qingfang, Long Wenling, Zhang Zhen, Wang Hong, Yang Wanquan. Clinical efficacy and mechanism of Shenqi Shiyiwei granules in cancer-related anemia of Colon cancer based on network pharmacology. 2025. doi: 10.12201/bmr.202506.00080

    wangyixuan, zhangguanmei, wusiyi, fangyeu, wangyan, miaorunze, chenwangqiang. Application of “state-target-braid-evidence” in idiopathic oligoasthenospermia. 2024. doi: 10.12201/bmr.202410.00074

  • ID Submit time Number Download
    1 2025-11-04

    10.12201/bmr.202511.00088V1

    Download
  • Public  Anonymous  To author only

Get Citation

CHEN Yangbo. [title missed]. 2025. biomedRxiv.202511.00088

Article Metrics

  • Read: 65
  • Download: 0
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误