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Tanshinone I: Pharmacological activities, molecular mechanisms against diseases and future perspectives
Liyuan Ke1, Chenhui Zhong1, Zhijie Chen1
1Department of Pharmaceutical Analysis, School of Pharmacy, Fujian Medical University, Fuzhou, 350122, China.
Background:
Tanshinone I (Tan I) is known as one of the important active components in Salvia miltiorrhiza. In recent years, Tan I has received a substantial amount of attention from the research community for various studies being updated and has been shown to possess favorable activities including anti-oxidative stress, regulation of cell autophagy or apoptosis, inhibition of inflammation, etc. PURPOSE: To summarize the investigation progress on the anti-disease efficacy and effect mechanism of Tan I in recent years, and provide perspectives for future study on the active ingredient.
Method:
Web of Science and PubMed databases were used to search for articles related to "Tanshinone I" published from 2010 to 2022. Proteins or genes and signaling pathways referring to Tan I against diseases were summarized and classified along with its different therapeutic actions. Protein-protein interaction (PPI) analysis was then performed, followed by molecular docking between proteins with high node degree and Tan I, as well as bioinformactic analysis including GO, KEGG and DO enrichment analysis with the collected proteins or genes.
Results:
Tan I shows multiple therapeutic effects, including protection of the cardiovascular system, anti-cancer, anti-inflammatory, anti-neurodegenerative diseases, etc. The targets (proteins or genes) affected by Tan I against diseases involve Bcl-2, Bid, ITGA2, PPAT, AURKA, VEGF, PI3K, AKT, PRK, JNK, MMP9, ABCG2, CASP3, Cleaved-caspase-3, AMPKα, PARP, etc., and the regulatory pathways refer to Akt/Nrf2, SAPK/JNK, PI3K/Akt/mTOR, JAK/STAT3, ATF-2/ERK, etc. What's more, AKT1, CASP3, and STAT3 were predicted as the key action targets for Tan I by PPI analysis combined with molecular docking, and the potential therapeutic effects mechanisms against diseases were also further predicted by bioinformatics analyses based on the reported targets, providing new insights into the future investigation and helping to facilitate the drug development of Tan I.
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