Combinatorial chemistry & high throughput screening · 2023
Integrating Network Pharmacology and Experimental Verification to Investigate the Mechanisms of Shuangshi Tonglin Capsule to Treat Chronic Prostatitis.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Mao Qian, Zhang Xinyue, Wang Chuan, Liu Jiping, Wang Ziqiang, Wang Bin, Mao Peng, Wei Hao, Wang Baoan
Аннотация
BACKGROUND AND OBJECTIVE: Chronic prostatitis (CP) is one of the most common diseases in young and middle-aged men but lacks effective treatment. Shuangshi Tonglin Capsule (SSTLC) is a clinical drug for the treatment of chronic prostatitis. However, the underlying molecular mechanisms of SSTLC in treating CP are still unclear. In this study, we researched the underlying mechanisms of SSTLC in treating chronic prostatitis.
METHODS: The ingredients of SSTLC were received from the TCMSP and BATMAN databases, and the CP targets were collected based on GeneCards and OMIM. Then, the PPI network and the "drug-ingredient-target" network map were constructed. GO and KEGG enrichment analyses by using DAVID. Molecular docking was performed by using AutoDock 4.2 and PyMol. And using animal experiments to verify the potential effect of SSTLC in CP.
RESULTS: SSTLC contained 10 herbs, 158 chemical ingredients and 277 targets, 2002, diseaserelated targets were obtained. Network analysis outcomes indicated that VEGFA, TNF, MAPK1, EGFR, and MAPK8 are the key targets of SSTLC in treating chronic prostatitis. Furthermore, molecular docking revealed that quercetin, luteolin, and kaempferol exhibited a strong binding effect. Animal experimental indicated that SSTLC can reduce the pathological damage to prostate tissue. And, we found that high-dose SSTLC significantly reduced the level of TNF-α and downregulated the expression of EGFR, p-p38 and p-ERK1/2 (P<0.05).
CONCLUSION: This study determined the pharmacological effects of SSTLC and the potential mechanism of action on SSTLC to treat CP, it provides a new idea for traditional Chinese medicine to treat chronic prostatitis.
METHODS: The ingredients of SSTLC were received from the TCMSP and BATMAN databases, and the CP targets were collected based on GeneCards and OMIM. Then, the PPI network and the "drug-ingredient-target" network map were constructed. GO and KEGG enrichment analyses by using DAVID. Molecular docking was performed by using AutoDock 4.2 and PyMol. And using animal experiments to verify the potential effect of SSTLC in CP.
RESULTS: SSTLC contained 10 herbs, 158 chemical ingredients and 277 targets, 2002, diseaserelated targets were obtained. Network analysis outcomes indicated that VEGFA, TNF, MAPK1, EGFR, and MAPK8 are the key targets of SSTLC in treating chronic prostatitis. Furthermore, molecular docking revealed that quercetin, luteolin, and kaempferol exhibited a strong binding effect. Animal experimental indicated that SSTLC can reduce the pathological damage to prostate tissue. And, we found that high-dose SSTLC significantly reduced the level of TNF-α and downregulated the expression of EGFR, p-p38 and p-ERK1/2 (P<0.05).
CONCLUSION: This study determined the pharmacological effects of SSTLC and the potential mechanism of action on SSTLC to treat CP, it provides a new idea for traditional Chinese medicine to treat chronic prostatitis.