Identification of the therapeutic mechanism of the saffron crocus on glioma through network pharmacology and bioinformatics analysis

Yang, Xiaobing; Man, Dulegeqi; Zhao, Peng; Li, Xingang

doi:10.1007/s12032-023-02142-2

Cited by 1 publication

(1 citation statement)

References 47 publications

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“…TTM is now widely accepted in various Asian countries, and studies have shown that it has definite curative effects in preventing cancerous lesions and reducing adverse reactions after anticancer therapy [ 8 , 9 , 10 , 11 ]. Additionally, the complex mechanisms through which TTM therapy functions in various types of cancer have been elucidated using emerging network pharmacology-based methods [ 12 , 13 ]. Since network pharmacology-based techniques conform to the “multi-target” and “multi-pathway” concepts of TTM treatment, they can provide researchers with a systematic understanding of the interacting networks of disease targets, medications, and pathways, which is critical in TTM-based drug development [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Potential Mechanism of Tibetan Medicine Liuwei Muxiang Pills against Colorectal Cancer: Network Pharmacology and Bioinformatics Analyses

Qi,

Liang,

Wang

et al. 2024

Pharmaceuticals

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This study aimed to explore the mechanism through which Tibetan medicine Liuwei Muxiang (LWMX) pills acts against colorectal cancer (CRC). We firstly retrieved the active ingredients and the correlated targets of LWMX pills from public databases. The CRC-related targets were determined through bioinformatic analysis of a public CRC dataset. By computing the intersection of the drug-specific and disease-related targets, LWMX pill–CRC interaction networks were constructed using the protein–protein interaction (PPI) method and functional enrichment analysis. Subsequently, we determined the hub genes using machine learning tools and further verified their critical roles in CRC treatment via immune infiltration analysis and molecular docking studies. We identified 81 active ingredients in LWMX pills with 614 correlated targets, 1877 differentially expressed genes, and 9534 coexpression module genes related to CRC. A total of 5 target hub genes were identified among the 108 intersecting genes using machine learning algorithms. The immune infiltration analysis results suggested that LWMX pills could affect the CRC immune infiltration microenvironment by regulating the expression of the target hub genes. Finally, the molecular docking outcomes revealed stable binding affinity between all target hub proteins and the primary active ingredients of LWMX pills. Our findings illustrate the anti-CRC potential and the mechanism of action of LWMX pills and provide novel insights into multitarget medication for CRC treatment.

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