4.5 Article

A network pharmacology perspective for deciphering potential mechanisms of action of Solanum nigrum L. in bladder cancer

期刊

出版社

BMC
DOI: 10.1186/s12906-021-03215-3

关键词

Bladder cancer; Enrichment analysis; Network pharmacology; Solanum nigrum L.; Target prediction

资金

  1. Natural Science Foundation of China [81603498, 81774089]
  2. Medical Innovation Team Project of Jiangsu Province [CXTD-2016-48]
  3. Key Research and Development Project of Jiangsu Province [BE2015623, BE2017635]
  4. Young Medical Talent Project of Jiangsu Province [QNRC2016386]
  5. Traditional Chinese Medicine Bureau of Science and Technology Project of Jiangsu Province [YB2017055]

向作者/读者索取更多资源

Based on network pharmacology analysis, this study suggests that Solanum nigrum L. decoction may mediate pharmacological effects in bladder cancer through multi-target and multi-signaling pathways. Further experimental validation is needed. The network pharmacology approach offers a novel strategy to reveal the holistic mechanism of action of herbs.
Background: Solanum nigrum L. decoction has been used as a folklore medicine in China to prevent the postoperative recurrence of bladder cancer (BC). However, there are no previous pharmacological studies on the protective mechanisms of this activity of the plant. Thus, this study aimed to perform a systematic analysis and to predict the potential action mechanisms underlying S. nigrum activity in BC based on network pharmacology. Methods: Based on network pharmacology, the active ingredients of S. nigrum and the corresponding targets were identified using the Traditional Chinese Medicines for Systems Pharmacology Database and Analysis Platform database, and BC-related genes were screened using GeneCards and the Online Mendelian Inheritance in Man database. In addition, ingredient-target (I-T) and protein-protein interaction (PPI) networks were constructed using STRING and Cytoscape, Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted, and then the pathways directly related to BC were integrated manually to reveal the pharmacological mechanism underlying S. nigrum-medicated therapeutic effects in BC. Results: Seven active herbal ingredients from 39 components of S. nigrum were identified, which shared 77 common target genes related to BC. I-T network analysis revealed that quercetin was associated with all targets and that NCOA2 was targeted by four ingredients. Besides, interleukin 6 had the highest degree value in the PPI network, indicating a hub role. A subsequent gene enrichment analysis yielded 86 significant GO terms and 89 significant pathways, implying that S. nigrum had therapeutic benefits in BC through multi-pathway effects, including the HIF-1, TNF, P53, MAPK, PI3K/Akt, apoptosis and bladder cancer pathway. Conclusions: S. nigrum may mediate pharmacological effects in BC through multi-target and various signaling pathways. Further validation is required experimentally. Network pharmacology approach provides a predicative novel strategy to reveal the holistic mechanism of action of herbs.

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