Integrating Network Pharmacology and Experimental Verification to Investigate the Mechanisms of Shuangshi Tonglin Capsule to Treat Chronic Prostatitis.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2023-01-01 DOI:10.2174/1386207326666221024144543
Qian Mao, Xinyue Zhang, Chuan Wang, Jiping Liu, Ziqiang Wang, Bin Wang, Peng Mao, Hao Wei, Baoan Wang
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Abstract

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.

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结合网络药理学与实验验证探讨双石通灵胶囊治疗慢性前列腺炎的作用机制。
背景与目的:慢性前列腺炎(CP)是中青年男性最常见的疾病之一,但缺乏有效的治疗方法。双石通林胶囊是一种治疗慢性前列腺炎的临床用药。然而,SSTLC治疗CP的潜在分子机制尚不清楚。在本研究中,我们研究了SSTLC治疗慢性前列腺炎的潜在机制。方法:从TCMSP和BATMAN数据库中获取SSTLC的成分,利用GeneCards和OMIM数据库收集CP靶点。然后,构建PPI网络和“药物-成分-靶点”网络图。GO和KEGG富集分析使用DAVID。使用AutoDock 4.2和PyMol进行分子对接。并通过动物实验验证了SSTLC在cp中的潜在作用。结果:SSTLC含有10种中草药、158种化学成分和277个靶点,2002年,获得了与疾病相关的靶点。网络分析结果显示,VEGFA、TNF、MAPK1、EGFR、MAPK8是SSTLC治疗慢性前列腺炎的关键靶点。此外,分子对接发现槲皮素、木犀草素和山奈酚具有很强的结合作用。动物实验表明,SSTLC可减轻前列腺组织的病理损伤。同时,我们发现大剂量SSTLC可显著降低TNF-α水平,下调EGFR、p-p38、p-ERK1/2的表达(结论:本研究确定了SSTLC治疗CP的药理作用及其可能的作用机制,为中药治疗慢性前列腺炎提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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